Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images
Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research...
Saved in:
| Published in: | Scientific reports Vol. 7; no. 1; pp. 3064 - 12 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
08.06.2017
Nature Publishing Group Nature Portfolio |
| Subjects: | |
| ISSN: | 2045-2322, 2045-2322 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R
2
*
maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R
2
*
and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R
2
*
and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. |
|---|---|
| AbstractList | Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R 2 * maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R 2 * and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 +/- 0.03 (mean +/- standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R 2 * and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P >= 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R 2 * maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R 2 * and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R 2 * and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R2 * maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R2 * and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R2 * and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R2* maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R2* and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R2* and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT.Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R2* maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R2* and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R2* and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R2* maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R2* and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R2* and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. Abstract Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R2 * maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R2 * and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R2 * and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated method for segmenting cervical-supraclavicular adipose tissue for enabling time-efficient and objective measurements in large cohort research studies of BAT. Fat fraction (FF) and R maps were reconstructed from water-fat magnetic resonance imaging (MRI) of 25 subjects. A multi-atlas approach, based on atlases from nine subjects, was chosen as automated segmentation strategy. A semi-automated reference method was used to validate the automated method in the remaining subjects. Automated segmentations were obtained from a pipeline of preprocessing, affine registration, elastic registration and postprocessing. The automated method was validated with respect to segmentation overlap (Dice similarity coefficient, Dice) and estimations of FF, R and segmented volume. Bias in measurement results was also evaluated. Segmentation overlaps of Dice = 0.93 ± 0.03 (mean ± standard deviation) and correlation coefficients of r > 0.99 (P < 0.0001) in FF, R and volume estimates, between the methods, were observed. Dice and BMI were positively correlated (r = 0.54, P = 0.03) but no other significant bias was obtained (P ≥ 0.07). The automated method compared well with the reference method and can therefore be suitable for time-efficient and objective measurements in large cohort research studies of BAT. |
| ArticleNumber | 3064 |
| Author | Weghuber, Daniel Forslund, Anders Strand, Robin Lundström, Elin Bergsten, Peter Kullberg, Joel Ahlström, Håkan |
| Author_xml | – sequence: 1 givenname: Elin surname: Lundström fullname: Lundström, Elin email: elin.lundstrom@radiol.uu.se organization: Department of Radiology, Uppsala University – sequence: 2 givenname: Robin surname: Strand fullname: Strand, Robin organization: Department of Radiology, Uppsala University, Department of Information Technology, Uppsala University – sequence: 3 givenname: Anders surname: Forslund fullname: Forslund, Anders organization: Department of Women’s and Children’s Health, Uppsala University, Children Obesity Clinic, Uppsala University Hospital – sequence: 4 givenname: Peter surname: Bergsten fullname: Bergsten, Peter organization: Department of Medical Cell Biology, Uppsala University – sequence: 5 givenname: Daniel surname: Weghuber fullname: Weghuber, Daniel organization: Department of Paediatrics, Paracelsus Medical University, Obesity Research Unit, Paracelsus Medical University – sequence: 6 givenname: Håkan surname: Ahlström fullname: Ahlström, Håkan organization: Department of Radiology, Uppsala University, Antaros Medical, BioVenture Hub – sequence: 7 givenname: Joel surname: Kullberg fullname: Kullberg, Joel organization: Department of Radiology, Uppsala University, Antaros Medical, BioVenture Hub |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28596551$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323968$$DView record from Swedish Publication Index (Uppsala universitet) |
| BookMark | eNp9kk1v1DAQhiNUREvpH-CAInHhQMAfseNckFblq1IlLsDVcuzJ1qvEXuykFf-e6WapditBpCjO-Jl3xuP3eXESYoCieEnJO0q4ep9rKlpVEdrgK5SsmifFGSO1qBhn7ORgfVpc5Lwh-AjW1rR9VpwyJVopBD0r3Gqe4mgmcGWG9QhhMpOPoYx9eTOPJpQW0q23ZqjyvE3GDgb_5sGk0ji_jRnKyec8Q-lDOZp1gMnbMkGOwQSLUYxBflE87c2Q4WL_PS9-fP70_fJrdf3ty9Xl6rqyommmyrrWEAaSdmBJw-vaKN7JjrtOKmels4qptu2o5VyavmeywSM5K1RvueMC-Hlxtei6aDZ6m7B6-q2j8XoXiGmtTcIGB9CKW2LbzhGmVH1fSTCnrOwaClxBLVDr7aKV72A7d0dqH_3P1U5tnjVnvJUK8Q8LjuwIzuIgkxmOso53gr_R63irRS0F4xQF3uwFUvw1Q5706LOFYTAB4pw1bYmqOVWEIPr6EbqJcwo4WaSEEHUjFEPq1WFHD638vXsE2ALYFHNO0D8glOh7j-nFYxo9pnce0w0mqUdJ1i-WwVP54f-pfD9RrBPWkA7a_nfWH6f452A |
| CitedBy_id | crossref_primary_10_3390_ijms20215509 crossref_primary_10_1259_bjr_20180252 crossref_primary_10_1186_s13550_020_00665_7 crossref_primary_10_1038_s41598_019_49936_x crossref_primary_10_1038_s41467_024_52622_w crossref_primary_10_1002_nbm_4676 crossref_primary_10_1038_s41366_025_01739_z crossref_primary_10_1111_ijpo_12531 crossref_primary_10_3389_fendo_2020_00421 crossref_primary_10_3390_diagnostics14242786 crossref_primary_10_1038_s41598_021_87768_w crossref_primary_10_1007_s10334_022_01056_w |
| Cites_doi | 10.1016/j.cmet.2016.07.014 10.1371/journal.pone.0074206 10.1371/journal.pone.0126705 10.2214/AJR.12.8996 10.1002/jmri.22162 10.1002/jmri.23531 10.2967/jnumed.115.160770 10.1007/s10334-015-0517-0 10.1109/TMI.2009.2035616 10.1016/j.cmet.2010.03.008 10.1016/j.media.2015.06.012 10.1002/mrm.22622 10.1002/mrm.24118 10.1111/obr.12116 10.1152/ajpendo.00691.2006 10.1002/nbm.3432 10.1007/s10334-015-0514-3 10.1097/RLI.0b013e31829363b8 10.1038/nm.3017 10.2337/db15-0146 10.1002/jmri.24726 10.1073/pnas.1403697111 10.1038/oby.2011.125 10.1007/s10334-015-0498-z 10.1002/mrm.23185 10.1096/fj.09-133546 10.3791/52415 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2017 Copyright Nature Publishing Group Jun 2017 |
| Copyright_xml | – notice: The Author(s) 2017 – notice: Copyright Nature Publishing Group Jun 2017 |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM ACNBI ADTPV AOWAS D8T DF2 ZZAVC DOA |
| DOI | 10.1038/s41598-017-01586-7 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials - QC Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) ProQuest Biological Science Collection ProQuest Health & Medical Collection Medical Database Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) SWEPUB Uppsala universitet full text SwePub SwePub Articles SWEPUB Freely available online SWEPUB Uppsala universitet SwePub Articles full text DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef MEDLINE - Academic Publicly Available Content Database MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 12 |
| ExternalDocumentID | oai_doaj_org_article_83c0c9bd0288444a852d8c6b71e38e45 oai_DiVA_org_uu_323968 PMC5465231 28596551 10_1038_s41598_017_01586_7 |
| Genre | Validation Studies Research Support, Non-U.S. Gov't Journal Article |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS EJD ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFFHD AFPKN CITATION PHGZM PHGZT PJZUB PPXIY PQGLB CGR CUY CVF ECM EIF NPM 7XB 8FK K9. PKEHL PQEST PQUKI PRINS Q9U 7X8 PUEGO 5PM ACNBI ADTPV AOWAS D8T DF2 IPNFZ RIG ZZAVC |
| ID | FETCH-LOGICAL-c577t-cd9a02e61bec07344a83b6b3db68dc6dc82899b1c336aff267005dc58fc3d35e3 |
| IEDL.DBID | M2P |
| ISICitedReferencesCount | 15 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000402865000003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2045-2322 |
| IngestDate | Tue Oct 14 19:05:35 EDT 2025 Tue Nov 04 16:56:51 EST 2025 Tue Nov 04 02:01:07 EST 2025 Thu Oct 02 04:47:06 EDT 2025 Tue Oct 07 07:24:51 EDT 2025 Thu Jan 02 23:03:53 EST 2025 Sat Nov 29 02:49:00 EST 2025 Tue Nov 18 20:02:47 EST 2025 Fri Feb 21 02:40:04 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c577t-cd9a02e61bec07344a83b6b3db68dc6dc82899b1c336aff267005dc58fc3d35e3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
| OpenAccessLink | https://www.proquest.com/docview/1955547582?pq-origsite=%requestingapplication% |
| PMID | 28596551 |
| PQID | 1955547582 |
| PQPubID | 2041939 |
| PageCount | 12 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_83c0c9bd0288444a852d8c6b71e38e45 swepub_primary_oai_DiVA_org_uu_323968 pubmedcentral_primary_oai_pubmedcentral_nih_gov_5465231 proquest_miscellaneous_1908431800 proquest_journals_1955547582 pubmed_primary_28596551 crossref_primary_10_1038_s41598_017_01586_7 crossref_citationtrail_10_1038_s41598_017_01586_7 springer_journals_10_1038_s41598_017_01586_7 |
| PublicationCentury | 2000 |
| PublicationDate | 2017-06-08 |
| PublicationDateYYYYMMDD | 2017-06-08 |
| PublicationDate_xml | – month: 06 year: 2017 text: 2017-06-08 day: 08 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationTitleAlternate | Sci Rep |
| PublicationYear | 2017 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | Berglund, Kullberg (CR12) 2012; 67 Lidell (CR18) 2013; 19 Enerbäck (CR16) 2010; 11 CR14 Hu, Perkins, Chia, Gilsanz (CR13) 2013; 200 Chechi, Nedergaard, Richard (CR2) 2014; 15 Karlsson (CR20) 2015; 41 Bhanu Prakash, Srour, Velan, Chuang (CR26) 2016; 29 Nedergaard, Bengtsson, Cannon (CR4) 2007; 293 Iglesias, Sabuncu (CR19) 2015; 24 Borga (CR21) 2015; 28 Khanna, Branca (CR7) 2012; 68 Hu, Tovar, Pavlova, Smith, Gilsanz (CR9) 2012; 35 Zingaretti (CR25) 2009; 23 Chen (CR3) 2016; 24 Branca (CR6) 2013; 8 Franz (CR15) 2015; 56 Bhanu Prakash (CR27) 2016; 29 Klein, Staring, Murphy, Viergever, Pluim (CR23) 2010; 29 Betz, Enerbäck (CR1) 2015; 64 Yoneshiro (CR24) 2011; 19 van Rooijen (CR8) 2013; 48 Branca (CR11) 2014; 111 Branca, Warren (CR5) 2011; 65 Hu, Smith, Nayak, Goran, Nagy (CR10) 2010; 31 Lundström (CR22) 2015; 10 Hu, Chen, Shen (CR17) 2016; 29 S Klein (1586_CR23) 2010; 29 HH Hu (1586_CR9) 2012; 35 T Yoneshiro (1586_CR24) 2011; 19 E Lundström (1586_CR22) 2015; 10 KN Bhanu Prakash (1586_CR27) 2016; 29 KY Chen (1586_CR3) 2016; 24 M Borga (1586_CR21) 2015; 28 A Karlsson (1586_CR20) 2015; 41 KN Bhanu Prakash (1586_CR26) 2016; 29 1586_CR14 K Chechi (1586_CR2) 2014; 15 BD van Rooijen (1586_CR8) 2013; 48 RT Branca (1586_CR6) 2013; 8 D Franz (1586_CR15) 2015; 56 J Nedergaard (1586_CR4) 2007; 293 JE Iglesias (1586_CR19) 2015; 24 MJ Betz (1586_CR1) 2015; 64 HH Hu (1586_CR10) 2010; 31 RT Branca (1586_CR5) 2011; 65 A Khanna (1586_CR7) 2012; 68 S Enerbäck (1586_CR16) 2010; 11 MC Zingaretti (1586_CR25) 2009; 23 RT Branca (1586_CR11) 2014; 111 ME Lidell (1586_CR18) 2013; 19 HH Hu (1586_CR13) 2013; 200 HH Hu (1586_CR17) 2016; 29 J Berglund (1586_CR12) 2012; 67 |
| References_xml | – volume: 24 start-page: 210 year: 2016 end-page: 222 ident: CR3 article-title: Brown Adipose Reporting Criteria in Imaging STudies (BARCIST 1.0): Recommendations for Standardized FDG-PET/CT Experiments in Humans publication-title: Cell metabolism doi: 10.1016/j.cmet.2016.07.014 – volume: 8 start-page: e74206 year: 2013 ident: CR6 article-title: noninvasive detection of Brown Adipose Tissue through intermolecular zero-quantum MRI publication-title: PloS one doi: 10.1371/journal.pone.0074206 – volume: 10 start-page: e0126705 year: 2015 ident: CR22 article-title: Magnetic resonance imaging cooling-reheating protocol indicates decreased fat fraction via lipid consumption in suspected brown adipose tissue publication-title: PloS one doi: 10.1371/journal.pone.0126705 – volume: 200 start-page: 177 year: 2013 end-page: 183 ident: CR13 article-title: Characterization of human brown adipose tissue by chemical-shift water-fat MRI publication-title: AJR. American journal of roentgenology doi: 10.2214/AJR.12.8996 – volume: 31 start-page: 1195 year: 2010 end-page: 1202 ident: CR10 article-title: Identification of brown adipose tissue in mice with fat-water IDEAL-MRI publication-title: Journal of magnetic resonance imaging: JMRI doi: 10.1002/jmri.22162 – volume: 35 start-page: 938 year: 2012 end-page: 942 ident: CR9 article-title: Unequivocal identification of brown adipose tissue in a human infant publication-title: Journal of magnetic resonance imaging: JMRI doi: 10.1002/jmri.23531 – ident: CR14 – volume: 56 start-page: 1742 year: 2015 end-page: 1747 ident: CR15 article-title: Discrimination Between Brown and White Adipose Tissue Using a 2-Point Dixon Water-Fat Separation Method in Simultaneous PET/MRI publication-title: Journal of nuclear medicine: official publication, Society of Nuclear Medicine doi: 10.2967/jnumed.115.160770 – volume: 29 start-page: 287 year: 2016 end-page: 299 ident: CR26 article-title: A method for the automatic segmentation of brown adipose tissue publication-title: Magma doi: 10.1007/s10334-015-0517-0 – volume: 29 start-page: 196 year: 2010 end-page: 205 ident: CR23 article-title: P. elastix: a toolbox for intensity-based medical image registration publication-title: IEEE transactions on medical imaging doi: 10.1109/TMI.2009.2035616 – volume: 11 start-page: 248 year: 2010 end-page: 252 ident: CR16 article-title: Human brown adipose tissue publication-title: Cell metabolism doi: 10.1016/j.cmet.2010.03.008 – volume: 24 start-page: 205 year: 2015 end-page: 219 ident: CR19 article-title: Multi-atlas segmentation of biomedical images: A survey publication-title: Med Image Anal doi: 10.1016/j.media.2015.06.012 – volume: 65 start-page: 313 year: 2011 end-page: 319 ident: CR5 article-title: brown adipose tissue detection and characterization using water-lipid intermolecular zero-quantum coherences publication-title: Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine doi: 10.1002/mrm.22622 – volume: 68 start-page: 1285 year: 2012 end-page: 1290 ident: CR7 article-title: Detecting brown adipose tissue activity with BOLD MRI in mice publication-title: Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine doi: 10.1002/mrm.24118 – volume: 15 start-page: 92 year: 2014 end-page: 106 ident: CR2 article-title: Brown adipose tissue as an anti-obesity tissue in humans publication-title: Obes Rev doi: 10.1111/obr.12116 – volume: 293 start-page: E444 year: 2007 end-page: 452 ident: CR4 article-title: Unexpected evidence for active brown adipose tissue in adult humans publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00691.2006 – volume: 28 start-page: 1747 year: 2015 end-page: 1753 ident: CR21 article-title: Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies publication-title: NMR Biomed doi: 10.1002/nbm.3432 – volume: 29 start-page: 277 year: 2016 end-page: 286 ident: CR27 article-title: Segmentation and characterization of interscapular brown adipose tissue in rats by multi-parametric magnetic resonance imaging publication-title: Magma doi: 10.1007/s10334-015-0514-3 – volume: 48 start-page: 708 year: 2013 end-page: 714 ident: CR8 article-title: Imaging cold-activated brown adipose tissue using dynamic T2*-weighted magnetic resonance imaging and 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography publication-title: Investigative radiology doi: 10.1097/RLI.0b013e31829363b8 – volume: 19 start-page: 631 year: 2013 end-page: 634 ident: CR18 article-title: Evidence for two types of brown adipose tissue in humans publication-title: Nature medicine doi: 10.1038/nm.3017 – volume: 64 start-page: 2352 year: 2015 end-page: 2360 ident: CR1 article-title: Human Brown Adipose Tissue: What We Have Learned So Far publication-title: Diabetes doi: 10.2337/db15-0146 – volume: 41 start-page: 1558 year: 2015 end-page: 1569 ident: CR20 article-title: Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI publication-title: Journal of magnetic resonance imaging: JMRI doi: 10.1002/jmri.24726 – volume: 111 start-page: 18001 year: 2014 end-page: 18006 ident: CR11 article-title: Detection of brown adipose tissue and thermogenic activity in mice by hyperpolarized xenon MRI publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.1403697111 – volume: 19 start-page: 1755 year: 2011 end-page: 1760 ident: CR24 article-title: Age-related decrease in cold-activated brown adipose tissue and accumulation of body fat in healthy humans publication-title: Obesity (Silver Spring, Md.) doi: 10.1038/oby.2011.125 – volume: 29 start-page: 259 year: 2016 end-page: 276 ident: CR17 article-title: Segmentation and quantification of adipose tissue by magnetic resonance imaging publication-title: Magma doi: 10.1007/s10334-015-0498-z – volume: 67 start-page: 1684 year: 2012 end-page: 1693 ident: CR12 article-title: Three-dimensional water/fat separation and T2* estimation based on whole-image optimization–application in breathhold liver imaging at 1.5 T publication-title: Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine doi: 10.1002/mrm.23185 – volume: 23 start-page: 3113 year: 2009 end-page: 3120 ident: CR25 article-title: The presence of UCP1 demonstrates that metabolically active adipose tissue in the neck of adult humans truly represents brown adipose tissue publication-title: Faseb journal: official publication of the Federation of American Societies for Experimental Biology doi: 10.1096/fj.09-133546 – volume: 35 start-page: 938 year: 2012 ident: 1586_CR9 publication-title: Journal of magnetic resonance imaging: JMRI doi: 10.1002/jmri.23531 – volume: 29 start-page: 277 year: 2016 ident: 1586_CR27 publication-title: Magma doi: 10.1007/s10334-015-0514-3 – volume: 67 start-page: 1684 year: 2012 ident: 1586_CR12 publication-title: Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine doi: 10.1002/mrm.23185 – volume: 111 start-page: 18001 year: 2014 ident: 1586_CR11 publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.1403697111 – volume: 19 start-page: 631 year: 2013 ident: 1586_CR18 publication-title: Nature medicine doi: 10.1038/nm.3017 – volume: 19 start-page: 1755 year: 2011 ident: 1586_CR24 publication-title: Obesity (Silver Spring, Md.) doi: 10.1038/oby.2011.125 – volume: 48 start-page: 708 year: 2013 ident: 1586_CR8 publication-title: Investigative radiology doi: 10.1097/RLI.0b013e31829363b8 – volume: 64 start-page: 2352 year: 2015 ident: 1586_CR1 publication-title: Diabetes doi: 10.2337/db15-0146 – volume: 29 start-page: 196 year: 2010 ident: 1586_CR23 publication-title: IEEE transactions on medical imaging doi: 10.1109/TMI.2009.2035616 – volume: 68 start-page: 1285 year: 2012 ident: 1586_CR7 publication-title: Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine doi: 10.1002/mrm.24118 – volume: 41 start-page: 1558 year: 2015 ident: 1586_CR20 publication-title: Journal of magnetic resonance imaging: JMRI doi: 10.1002/jmri.24726 – volume: 15 start-page: 92 year: 2014 ident: 1586_CR2 publication-title: Obes Rev doi: 10.1111/obr.12116 – volume: 24 start-page: 210 year: 2016 ident: 1586_CR3 publication-title: Cell metabolism doi: 10.1016/j.cmet.2016.07.014 – volume: 28 start-page: 1747 year: 2015 ident: 1586_CR21 publication-title: NMR Biomed doi: 10.1002/nbm.3432 – volume: 56 start-page: 1742 year: 2015 ident: 1586_CR15 publication-title: Journal of nuclear medicine: official publication, Society of Nuclear Medicine doi: 10.2967/jnumed.115.160770 – volume: 29 start-page: 259 year: 2016 ident: 1586_CR17 publication-title: Magma doi: 10.1007/s10334-015-0498-z – volume: 8 start-page: e74206 year: 2013 ident: 1586_CR6 publication-title: PloS one doi: 10.1371/journal.pone.0074206 – volume: 10 start-page: e0126705 year: 2015 ident: 1586_CR22 publication-title: PloS one doi: 10.1371/journal.pone.0126705 – volume: 24 start-page: 205 year: 2015 ident: 1586_CR19 publication-title: Med Image Anal doi: 10.1016/j.media.2015.06.012 – volume: 29 start-page: 287 year: 2016 ident: 1586_CR26 publication-title: Magma doi: 10.1007/s10334-015-0517-0 – volume: 200 start-page: 177 year: 2013 ident: 1586_CR13 publication-title: AJR. American journal of roentgenology doi: 10.2214/AJR.12.8996 – ident: 1586_CR14 doi: 10.3791/52415 – volume: 31 start-page: 1195 year: 2010 ident: 1586_CR10 publication-title: Journal of magnetic resonance imaging: JMRI doi: 10.1002/jmri.22162 – volume: 65 start-page: 313 year: 2011 ident: 1586_CR5 publication-title: Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine doi: 10.1002/mrm.22622 – volume: 23 start-page: 3113 year: 2009 ident: 1586_CR25 publication-title: Faseb journal: official publication of the Federation of American Societies for Experimental Biology doi: 10.1096/fj.09-133546 – volume: 293 start-page: E444 year: 2007 ident: 1586_CR4 publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00691.2006 – volume: 11 start-page: 248 year: 2010 ident: 1586_CR16 publication-title: Cell metabolism doi: 10.1016/j.cmet.2010.03.008 |
| SSID | ssj0000529419 |
| Score | 2.2874808 |
| Snippet | Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an automated... Abstract Human brown adipose tissue (BAT), with a major site in the cervical-supraclavicular depot, is a promising anti-obesity target. This work presents an... |
| SourceID | doaj swepub pubmedcentral proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 3064 |
| SubjectTerms | 59/57 631/443/319/1642/137/773 631/443/319/1642/393 639/705/794 Adipose tissue Adipose tissue (brown) Adipose Tissue, Brown - diagnostic imaging Adolescent Adult Automation Body Fat Distribution Child Clavicle Computerized Image Processing Correlation coefficient Datoriserad bildbehandling Female Humanities and Social Sciences Humans Image processing Image Processing, Computer-Assisted - methods Magnetic resonance imaging Magnetic Resonance Imaging - methods Male multidisciplinary NMR Nuclear magnetic resonance Science Science (multidisciplinary) Segmentation |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB6hqkhcEC2vlFIZCU4QNbET2zkuj4pTxQFQb5ZjOyXSNqmaTSX-PWM7G20AlQtXx1bs-WbimdjzDcBrjV4B5cKmghU0_LpJNUZhKXUWtaPW3EoTik2I83N5cVF92Sn15e-ERXrgKLhTyUxmqtriPiiLotCypDic1yJ3TLoisJdmotoJpiKrN62KvJqyZDImTwfcqXw2We5vWpaSp2KxEwXC_r95mX9elpxPTH9jFw070tkjeDi5kmQVl3AA91x3CPdjccmfj8Guxk2P_qizZHCXV1OOUUf6hoTCfMSEz4Rep8Poc6XW-rYNl1KJtu11PziyCaCQtiNX-rLz2Y4Eg_PeU3RgK7a54Ql8O_v09cPndKqpkJpSiE1qbKUz6niO2KF1e4GymtfM1lxaw60JEVidG8a4bhrqs3hKa0rZGGZZ6dhT2Ov6zj0HwhtrtNNVWTJTICLSMovuCAKMHy7D8wTyrXyVmQjHfd2LtQoH30yqiIlCTFTARIkE3s5jriPdxp2933vY5p6eKjs0oAKpSYHUvxQogeMt6Gqy30HluKqywFiKJvBqfoyW549TdOf60ffJJK4XPe4EnkUdmWfiaQE5OqMJiIX2LKa6fNK1PwK7t69Oj053Au-2erYzrTtE8Sbq4uINH9vvqyCMcVSMsorLo_8hshfwgAZD4mkmj2FvczO6l7BvblEvb06CJf4CiqQ20Q priority: 102 providerName: Directory of Open Access Journals |
| Title | Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images |
| URI | https://link.springer.com/article/10.1038/s41598-017-01586-7 https://www.ncbi.nlm.nih.gov/pubmed/28596551 https://www.proquest.com/docview/1955547582 https://www.proquest.com/docview/1908431800 https://pubmed.ncbi.nlm.nih.gov/PMC5465231 https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323968 https://doaj.org/article/83c0c9bd0288444a852d8c6b71e38e45 |
| Volume | 7 |
| WOSCitedRecordID | wos000402865000003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: DOA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center) customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M7P dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: 7X7 dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: PIMPY dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVPQU databaseName: Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M2P dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Nb9MwFH9iK0hc-IYFRmUkOEG0JE5s54Q62ASHVRUCVE6WY7ulUpd0TTOJ_55nJw0UUC9cfHBc1fZ7fv75fQK8VIgKEsZNyGmaeNVNqPAVFibWIHcUihmhfbEJPh6L6TSfdAq3unOr3MpEL6hNpZ2O_CTOM7z5EN0mb1dXoasa5ayrXQmNAxggsomdS9dFMul1LM6KlcZ5FysTUXFS433lYspi52-ZCRbynfvIp-3_F9b822Wyt5v-kWPU30vnd_93RffgTodIyahloftww5YP4FZbo_LHQzCjZlMhrLWG1HZ-2YUqlaSaEV_fj2gvbdQyrBsXcrVU1wvv20qUWayq2pKNpy1ZlORSzUsXNEnwjV-5TB_Yi322fgRfzs8-v_sQdqUZQp1xvgm1yVWUWBYjC6CQSFMlaMEKagomjGZG-4dcEWtKmZrNEhcMlBmdiZmmhmaWPobDsirtERA2M1pZhZtBdapZIQw1iGqQT1D-aRYHEG8JJHWXt9yVz1hKbz-nQrZElUhU6YkqeQCv-9-s2qwde0efOrr3I13Gbd9RreeyO8BSUB3pvDCIx0Tq1pslyMas4LGlwqZZAMdbKstODNTyF4kDeNF_xgPsrDKqtFXjxkQC14vAPYAnLZP1M3HZBRli2gD4DvvtTHX3S7n47pOEuyL3iN0DeLNl1N-mtWcrXrXMvPMP7xdfR34zmkbShOZMPN2_2mdwO_FnjIWROIbDzbqxz-GmvkaOWw_hgE-5b8UQBqdn48mnodeFDP3xdS3HdjD5eDH59hP5jEyS |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VAoIL70eggJHoCaJu7MRxDggtlKpVS9VDQb25ju1dIm2TZbMp6p_iNzJ2koUFtLceuNpO4nG-Gc_Y8wB4pVAroDw1Ycpi6o9uQoVWWEitQXTkihuhfbGJ9PBQnJxkR2vwo4-FcW6VvUz0gtpU2p2Rb0VZgjsfarf03fRb6KpGudvVvoRGC4t9e_EdTbb67d42_t9NSnc-Hn_YDbuqAqFO0nQeapOpAbU8wtkjvuNYCZbznJmcC6O50d4GySPNGFejEXVxLInRiRhpZlhiGb73ClyNXWYx5ypIjxZnOu7WLI6yLjZnwMRWjfuji2GLnH9nIniYLu1_vkzAv3Tbv100F_e0f-Q09fvgzu3_bQXvwK1O4ybDlkXuwpot78H1tgbnxX0ww2ZeodpuDant-KwLxSpJNSK-fiHRXpqqSVg3LqRsos4L77tLlCmmVW3J3GOXFCU5U-PSBYWSmXUWDvITKbDN1g_g86WQ-BDWy6q0j4HwkdHKKlx8pmPNc2GYQa0N-QDlu-ZRAFEPCKm7vOyuPMhEev8AJmQLIokgkh5EMg3g9eKZaZuVZOXo9w5ni5Euo7hvqGZj2QkoKZge6Cw3qG-K2NGbUGRTnqeRZcLGSQAbPapkJ-Zq-QtSAbxcdKOAcrdOqrRV48YMBNKLhkkAj1pQL2bisidy1NkDSJfgvjTV5Z6y-OqToCcxT9A2CeBNzxi_TWvFUmy2zLP0he3iy9AvRtNIRlnGxZPV1L6AG7vHnw7kwd7h_lO4ST1_83AgNmB9PmvsM7imzxF9s-deQBA4vWx--gkQiaPp |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lj9MwELaWLiAuvB-BBYzEniBqYyeOc0CoUCqqhaoHQMvJOLZTInWT0jSL9q_x6xg7SaGAetsD19hJPPY34xl7Hgg9laAVEBZrP6YhcUc3vgQrzCdGAzpSyTRXrthEPJ3y4-Nktod-dLEw1q2yk4lOUOtS2TPyfpBEsPOBdkv6WesWMRuNXy6_-baClL1p7cppNBA5MmffwXyrXkxGsNaHhIzffHj91m8rDPgqiuO1r3QiB8SwACgBrIeh5DRlKdUp41oxrZw9kgaKUiazjNiYlkiriGeKahoZCt-9gPZBJQ9JD-3PJu9nnzcnPPYOLQySNlJnQHm_gt3SRrQF1tsz4syPt3ZDVzTgX5ru3w6bm1vbPzKcul1xfO1_ns_r6Gqri-Nhwzw30J4pbqJLTXXOs1tID-t1CQq90bgy85M2SKvAZYZdZUOsnJyVC7-qbbDZQp7mzqsXS50vy8rgtUM1zgt8IueFDRfFK2NtH-A0nMMzU91GH8-FxDuoV5SFuYcwy7SSRsJCUBUqlnJNNehzwCEg-RULPBR04BCqzdhuC4cshPMcoFw0gBIAKOEAJWIPPdu8s2zylezs_cpibtPT5hp3D8rVXLSiS3CqBipJNWiiPLT0RgQYmKVxYCg3YeShgw5hohWAlfgFLw892TSD6LL3UbIwZW37DDjQCyaLh-42AN-MxOZVZKDNeyjegv7WULdbivyrS48ehSwCq8VDzzsm-W1YO6bisGGkrT-M8k9DNxl1LSihCeP3d1P7GF0GNhLvJtOjB-gKcazO_AE_QL31qjYP0UV1CuBbPWqlBUZfzpuhfgK3w64y |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Automated+segmentation+of+human+cervical-supraclavicular+adipose+tissue+in+magnetic+resonance+images&rft.jtitle=Scientific+reports&rft.au=Lundstr%C3%B6m%2C+Elin&rft.au=Strand%2C+Robin&rft.au=Forslund%2C+Anders&rft.au=Bergsten%2C+Peter&rft.date=2017-06-08&rft.issn=2045-2322&rft.eissn=2045-2322&rft.volume=7&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-017-01586-7&rft.externalDBID=n%2Fa&rft.externalDocID=10_1038_s41598_017_01586_7 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |