Surgical planning for living donor liver transplant using 4D flow MRI, computational fluid dynamics and in vitro experiments
This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modelling and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and afte...
Gespeichert in:
| Veröffentlicht in: | Computer methods in biomechanics and biomedical engineering. Jg. 6; H. 5; S. 545 - 555 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
England
Taylor & Francis
03.09.2018
|
| Schlagworte: | |
| ISSN: | 2168-1163, 2168-1171 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modelling and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories. |
|---|---|
| AbstractList | This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modelling and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories. This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modeling, and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories.This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modeling, and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories. This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modeling, and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories. This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modeling, and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories. |
| Author | Reeder, Scott B. Roldán-Alzate, Alejandro Fernandez, Luis A. Rutkowski, David R. |
| AuthorAffiliation | b Radiology, University of Wisconsin-Madison Madison, WI, United States f Emergency Medicine, University of Wisconsin-Madison Madison, WI, United States g Surgery, UW Hospital and Clinics, Madison, WI, United States d Biomedical Engineering, University of Wisconsin-Madison Madison, WI, United States c Medical Physics, University of Wisconsin-Madison Madison, WI, United States a Mechanical Engineering, University of Wisconsin-Madison Madison, WI, United States e Medicine, University of Wisconsin-Madison Madison, WI, United States |
| AuthorAffiliation_xml | – name: a Mechanical Engineering, University of Wisconsin-Madison Madison, WI, United States – name: f Emergency Medicine, University of Wisconsin-Madison Madison, WI, United States – name: g Surgery, UW Hospital and Clinics, Madison, WI, United States – name: b Radiology, University of Wisconsin-Madison Madison, WI, United States – name: d Biomedical Engineering, University of Wisconsin-Madison Madison, WI, United States – name: e Medicine, University of Wisconsin-Madison Madison, WI, United States – name: c Medical Physics, University of Wisconsin-Madison Madison, WI, United States |
| Author_xml | – sequence: 1 givenname: David R. surname: Rutkowski fullname: Rutkowski, David R. email: drutkowski2@wisc.edu organization: Radiology, University of Wisconsin-Madison – sequence: 2 givenname: Scott B. surname: Reeder fullname: Reeder, Scott B. organization: Emergency Medicine, University of Wisconsin-Madison – sequence: 3 givenname: Luis A. surname: Fernandez fullname: Fernandez, Luis A. organization: Surgery, UW Hospital and Clinics – sequence: 4 givenname: Alejandro surname: Roldán-Alzate fullname: Roldán-Alzate, Alejandro organization: Biomedical Engineering, University of Wisconsin-Madison |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30094106$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFUdtu1DAQtVARLaWfAPIjD-xix4mTCAmByq1SERKXZ2vWl8XIsYPtbFmJj8dRtivgAfziGc85Z8Zz7qMTH7xG6CEla0o68rSivKOUs3VFaLumVdtx2t9BZ_P7itKWnhxjzk7RRUrfSDkd54w399ApI6SvKeFn6OenKW6tBIdHB95bv8UmROzsbg5V8EuiI84RfJpBGU9pLtavsHHhBr__ePUEyzCMU4Zsgy9axk1WYbX3MFiZMHiFrcc7m2PA-seoox20z-kBumvAJX1xuM_RlzevP1--W11_eHt1-fJ6JRtW55UyLdGs1qqrGFQbJYGAMn3PwRjWQPkVkHojgRJCS0W3jTE9003b1UpS1bFz9HzRHafNoJUsvSM4MZYxIO5FACv-rHj7VWzDTnDSdhVpisDjg0AM3yedshhsktqVbegwJVGRrm16wvu2QB_93uvY5HblBdAsABlDSlGbI4QSMbsrbt0Vs7vi4G7hPfuLJ-2y8DKydf9lv1jY1hd_B7gJ0SmRYe9CNMVZaZNg_5b4BULgwLs |
| CitedBy_id | crossref_primary_10_1007_s11547_022_01553_x crossref_primary_10_1055_a_1271_7405 crossref_primary_10_1186_s41747_022_00299_5 crossref_primary_10_1002_jmri_27488 crossref_primary_10_1038_s41598_021_89636_z crossref_primary_10_1007_s10439_019_02285_2 crossref_primary_10_1148_radiol_232989 crossref_primary_10_1002_jmri_29357 crossref_primary_10_1148_radiol_230709 crossref_primary_10_3389_fphys_2021_733393 crossref_primary_10_1177_0271678X20910302 crossref_primary_10_1016_j_compbiomed_2021_104230 crossref_primary_10_3389_fphys_2017_00906 crossref_primary_10_1002_mrm_29978 crossref_primary_10_1016_j_jbiomech_2024_112086 crossref_primary_10_1016_j_jjcc_2022_05_007 crossref_primary_10_1148_radiol_232190 crossref_primary_10_12677_acm_2025_1592456 crossref_primary_10_1161_CIRCIMAGING_118_007705 crossref_primary_10_1109_ACCESS_2024_3458808 crossref_primary_10_1007_s00261_021_03352_w crossref_primary_10_1007_s00261_024_04500_8 crossref_primary_10_1016_j_jbiomech_2024_112459 |
| Cites_doi | 10.1002/bjs.9820 10.1002/(ISSN)1522-2586 10.1016/j.euromechflu.2012.01.011 10.1016/j.jbiomech.2015.03.009 10.1002/mrm.v63:6 10.1097/SLA.0b013e31825d5d47 10.1002/mrm.v60:6 10.1016/S0929-6646(08)60018-2 10.1002/lt.v19.3 10.1136/gut.35.2.186 10.1002/(ISSN)1522-2594 10.1088/0031-9155/57/23/7905 10.1016/j.bspc.2014.06.003 10.1016/S0168-8278(97)80045-1 10.1002/lt.v18.7 10.1002/lt.23966 10.1002/lt.20317 10.1148/radiology.194.2.7824706 10.1002/jmri.24886 10.1115/1.4000957 10.1016/j.ijsu.2013.12.006 10.1016/j.transproceed.2014.10.050 |
| ContentType | Journal Article |
| Copyright | 2018 Informa UK Limited, trading as Taylor & Francis Group 2018 |
| Copyright_xml | – notice: 2018 Informa UK Limited, trading as Taylor & Francis Group 2018 |
| DBID | AAYXX CITATION NPM 7X8 5PM |
| DOI | 10.1080/21681163.2017.1278619 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2168-1171 |
| EndPage | 555 |
| ExternalDocumentID | PMC6078205 30094106 10_1080_21681163_2017_1278619 1278619 |
| Genre | Article Journal Article |
| GrantInformation_xml | – fundername: National Institutes of Health grantid: UL1TR000427 funderid: 10.13039/100000002 – fundername: National Institutes of Health grantid: TL1TR000429 funderid: 10.13039/100000002 – fundername: National Institutes of Health grantid: K24 DK102595 funderid: 10.13039/100000002 – fundername: National Institutes of Health grantid: R01 DK096169 funderid: 10.13039/100000002 – fundername: NCATS NIH HHS grantid: UL1 TR000427 – fundername: NCATS NIH HHS grantid: TL1 TR000429 – fundername: NIDDK NIH HHS grantid: K24 DK102595 – fundername: NIDDK NIH HHS grantid: R01 DK096169 |
| GroupedDBID | 0BK 30N 4.4 AAGDL AAJMT AALDU AAMIU AAPUL AAQRR ABLIJ ABPAQ ABXUL ABXYU ACGFS ADCVX ADGTB ADMLS AEISY AFRVT AGDLA AHDZW AIJEM AIYEW AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQTUD ARCSS BLEHA CCCUG DEAQA EBS EJD EUPTU GTTXZ H13 HZ~ KYCEM M4Z O9- RIG RNANH ROSJB RTWRZ SNACF SOJIQ TBQAZ TDBHL TEN TFL TFT TFW TTHFI TUROJ AAYXX CITATION ADYSH GROUPED_DOAJ LJTGL NPM 7X8 5PM |
| ID | FETCH-LOGICAL-c534t-df70e34ed823a2bdca0adf996aff35a866a04bca10010ade75ff93e5784dc1d83 |
| IEDL.DBID | TFW |
| ISICitedReferencesCount | 31 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000438992000009&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2168-1163 |
| IngestDate | Tue Nov 04 02:00:26 EST 2025 Wed Oct 01 14:20:28 EDT 2025 Wed Feb 19 02:33:14 EST 2025 Tue Nov 18 22:41:37 EST 2025 Sat Nov 29 06:34:09 EST 2025 Mon Oct 20 23:49:09 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Keywords | Portal hemodynamics 4D Flow MRI Computational Fluid Dynamics Living Donor Liver Transplantation Virtual Surgery |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c534t-df70e34ed823a2bdca0adf996aff35a866a04bca10010ade75ff93e5784dc1d83 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/6078205 |
| PMID | 30094106 |
| PQID | 2087590697 |
| PQPubID | 23479 |
| PageCount | 11 |
| ParticipantIDs | crossref_primary_10_1080_21681163_2017_1278619 proquest_miscellaneous_2087590697 informaworld_taylorfrancis_310_1080_21681163_2017_1278619 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6078205 pubmed_primary_30094106 crossref_citationtrail_10_1080_21681163_2017_1278619 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-09-03 |
| PublicationDateYYYYMMDD | 2018-09-03 |
| PublicationDate_xml | – month: 09 year: 2018 text: 2018-09-03 day: 03 |
| PublicationDecade | 2010 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Computer methods in biomechanics and biomedical engineering. |
| PublicationTitleAlternate | Comput Methods Biomech Biomed Eng Imaging Vis |
| PublicationYear | 2018 |
| Publisher | Taylor & Francis |
| Publisher_xml | – name: Taylor & Francis |
| References | Middleton WD (CIT0015) 2004 CIT0010 Ho H (CIT0006) 2012; 7512 Gu T (CIT0004) 2005; 26 CIT0011 Kim PTW (CIT0012) 2016 CIT0013 CIT0016 CIT0018 CIT0017 CIT0019 CIT0021 CIT0020 CIT0001 CIT0023 CIT0022 CIT0003 CIT0025 CIT0002 CIT0024 CIT0005 CIT0027 Li X (CIT0014) 2015; 26 CIT0026 CIT0007 CIT0009 CIT0008 |
| References_xml | – ident: CIT0017 doi: 10.1002/bjs.9820 – ident: CIT0024 doi: 10.1002/(ISSN)1522-2586 – volume: 26 start-page: 743 year: 2005 ident: CIT0004 publication-title: AJNR Am J Neuroradiol – ident: CIT0002 doi: 10.1016/j.euromechflu.2012.01.011 – ident: CIT0020 doi: 10.1016/j.jbiomech.2015.03.009 – ident: CIT0011 doi: 10.1002/mrm.v63:6 – year: 2016 ident: CIT0012 publication-title: HepatoBiliary Surg Nutr – ident: CIT0008 doi: 10.1097/SLA.0b013e31825d5d47 – volume: 7512 year: 2012 ident: CIT0006 publication-title: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Lecture Notes in Computer Science – ident: CIT0010 doi: 10.1002/mrm.v60:6 – ident: CIT0007 doi: 10.1016/S0929-6646(08)60018-2 – ident: CIT0003 doi: 10.1002/lt.v19.3 – ident: CIT0021 doi: 10.1136/gut.35.2.186 – ident: CIT0001 doi: 10.1002/(ISSN)1522-2594 – ident: CIT0026 doi: 10.1088/0031-9155/57/23/7905 – volume-title: Ultrasound: the requisites year: 2004 ident: CIT0015 – ident: CIT0025 doi: 10.1016/j.bspc.2014.06.003 – volume: 26 start-page: Suppl 1:S233–43 year: 2015 ident: CIT0014 publication-title: Bio-Med Mater Eng BME – ident: CIT0016 doi: 10.1016/S0168-8278(97)80045-1 – ident: CIT0009 doi: 10.1002/lt.v18.7 – ident: CIT0018 doi: 10.1002/lt.23966 – ident: CIT0027 doi: 10.1002/lt.20317 – ident: CIT0013 doi: 10.1148/radiology.194.2.7824706 – ident: CIT0019 doi: 10.1002/jmri.24886 – ident: CIT0005 doi: 10.1115/1.4000957 – ident: CIT0023 doi: 10.1016/j.ijsu.2013.12.006 – ident: CIT0022 doi: 10.1016/j.transproceed.2014.10.050 |
| SSID | ssj0000866365 |
| Score | 2.2304008 |
| Snippet | This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modelling and in vitro experiments to predict patient-specific alterations... This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modeling, and in vitro experiments to predict patient-specific alterations... This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modeling, and in vitro experiments to predict patient-specific alterations... |
| SourceID | pubmedcentral proquest pubmed crossref informaworld |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 545 |
| SubjectTerms | 4D flow MRI computational fluid dynamics living donor liver transplantation Portal hemodynamics virtual surgery |
| Title | Surgical planning for living donor liver transplant using 4D flow MRI, computational fluid dynamics and in vitro experiments |
| URI | https://www.tandfonline.com/doi/abs/10.1080/21681163.2017.1278619 https://www.ncbi.nlm.nih.gov/pubmed/30094106 https://www.proquest.com/docview/2087590697 https://pubmed.ncbi.nlm.nih.gov/PMC6078205 |
| Volume | 6 |
| WOSCitedRecordID | wos000438992000009&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: PRVAWR databaseName: Taylor & Francis Online Journals customDbUrl: eissn: 2168-1171 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000866365 issn: 2168-1163 databaseCode: TFW dateStart: 20130301 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB6Vqgc4UFqgLI_KlTiS4qydODkiYEUPVAiK2Fvk-AGRtkmVZIuQ-PEdO86yi0A9tEfHnsiPz_bMZPINwEuVcpoJqSJKpUYDhdooz2gZGVbKXCFENFc-2YQ4Pc3m8_xTiCbsQlils6HtQBThz2q3uWXZjRFxr6dxmsWoR7jALHEcT0WWeuJP1Owdxs9m31ZeFlTYU-bzSTqhyEmNv_H870UbF9QGfem_lNC_YynXLqfZ7i0M6wHcD5opeTNAaQ-2TL0P99b4Ch_C7y_L1p-U5CLkOiLYb7KonFeC6KYeCqYlvedMx0Y9cZH13wl_R-yi-Uk-fj55RZRPJRHckPh8WWmif9XyvFIdwf6TqiaXVd825E8Cgu4RfJ29P3v7IQrpGyKVMN5H2gpqGDc6mzI5LbWSCAeL9pW0liUSV0ZSXirpWKCwxojE2pwZxAfXKtYZewzbdVObJ0AMl7RMhDJCM7TnhWRWWY6mIlN5XqZ0Anxcs0IFbnOXYmNRxIECdZzcwk1uESZ3AscrsYuB3OM6gXwdEEXvvSp2SIFSsGtkj0b0FLiF3XcZWZtm2WErNBpziuOawMGAplV3mAv9RLN9AmIDZ6sGjh58s6aufnia8NRzISZPb9DnZ3AXiz4-hrLnsN23S_MCdtRlX3XtIdwR8-zQb7grzvMocg |
| linkProvider | Taylor & Francis |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwEB6hBQk48H6Up5E4ksWpnTg5IqDaFbs9QBF7ixw_IFJJVmm6CIkfz4yTlBaB9gDHxJ7Ij8_2zGT8DcBzk0qeKW0izrVFA4X7KM94GTlR6twgRKw0IdmEms-zk5N8-y4MhVWSDe17ooiwV9PiJmf0GBL3chqnWYyKBEVmqf14qrKUmD8vJnjWUljfYvZp42dBlT0VIaMkSUUkNl7k-duXdo6oHQLTP6mhv0dTbh1Ps-v_o2M34NqgnLJXPZpuwgVX34KrW5SFt-HHh3UbNkt2OqQ7YthwtqzIMcFsU_cPrmVdoE3HSh2j4PrPTL5hftl8Y8fvD18wE7JJDJ5IfL-uLLPfa_21MiuGHWBVzc6qrm3YrxwEqzvwcfZ28fogGjI4RCYRsousV9wJ6Ww2FXpaWqMRER5NLO29SDROjeayNJqIoLDEqcT7XDiEiLQmtpm4C3t1U7v7wJzUvEyUccoKNOmVFt54idaiMHlepnwCcpy0wgz05pRlY1nEAwvqOLgFDW4xDO4E9jdipz2_x3kC-TYiii44VnyfBaUQ58g-G-FT4CqmXzO6ds16hbXQbsw59msC93o4bZojKPoTLfcJqB2gbSoQQ_huSV19CUzhaaBDTB78Q5ufwuWDxfFRcXQ4f_cQrmBRCJfh4hHsde3aPYZL5qyrVu2TsO5-AljQK6s |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQQQgOvB_Lc5A4kuKsnTg5VpQVFbCqoIjeIsePNtKSrJJsERI_vmPHWXYRqAc4JvZEY_uzMzOZfEPIS5VymgmpIkqlRgeF2ijPaBkZVspcIUQ0V77YhJjPs-Pj_DBkE3YhrdL50HYgivBntdvcS23HjLjX0zjNYrQjXGKW2I2nIksd8edlT46FkD6afV2HWdBiT5kvKOmkIic2_sfztydtvaG2-Ev_ZIX-nky58Xaa3fwP47pFbgTTFPYGLN0ml0x9h1zfICy8S35-XrX-qIRlKHYEqDcsKheWAN3Uw4Vpofek6dipB5dafwJ8H-yi-Q4fPx28AuVrSYQ4JN5fVRr0j1p-q1QHqD9UNZxVfdvArwoE3T3yZfb26M27KNRviFTCeB9pK6hh3OhsyuS01EoiHiw6WNJalkhcGUl5qaSjgcIWIxJrc2YQIFyrWGfsPtmpm9o8JGC4pGUilBGaoUMvJLPKcvQVmcrzMqUTwsc1K1QgN3c1NhZFHDhQx8kt3OQWYXInZHctthzYPS4SyDcBUfQ-rGKHGigFu0D2xYieAvew-zAja9OsOuyFXmNOcVwT8mBA01od5nI_0W-fELGFs3UHxw--3VJXp54nPPVkiMmjf9D5Obl6uD8rPhzM3z8m17DF58pQ9oTs9O3KPCVX1Flfde0zv-vOAYKUKk8 |
| 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=Surgical+planning+for+living+donor+liver+transplant+using+4D+flow+MRI%2C+computational+fluid+dynamics+and+in+vitro+experiments&rft.jtitle=Computer+methods+in+biomechanics+and+biomedical+engineering.&rft.au=Rutkowski%2C+David+R&rft.au=Reeder%2C+Scott+B&rft.au=Fernandez%2C+Luis+A&rft.au=Rold%C3%A1n-Alzate%2C+Alejandro&rft.date=2018-09-03&rft.issn=2168-1163&rft.volume=6&rft.issue=5&rft.spage=545&rft_id=info:doi/10.1080%2F21681163.2017.1278619&rft_id=info%3Apmid%2F30094106&rft.externalDocID=30094106 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2168-1163&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2168-1163&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2168-1163&client=summon |