Accelerated dynamic cardiac MRI exploiting sparse-Kalman-smoother self-calibration and reconstruction (k - t SPARKS)
Accelerated dynamic MRI, which exploits spatiotemporal redundancies in k - t space and coil dimension, has been widely used to reduce the number of signal encoding and thus increase imaging efficiency with minimal loss of image quality. Nonetheless, particularly in cardiac MRI it still suffers fro...
Uloženo v:
| Vydáno v: | Physics in medicine & biology Ročník 60; číslo 9; s. 3655 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
England
07.05.2015
|
| Témata: | |
| ISSN: | 1361-6560, 1361-6560 |
| On-line přístup: | Zjistit podrobnosti o přístupu |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Accelerated dynamic MRI, which exploits spatiotemporal redundancies in k - t space and coil dimension, has been widely used to reduce the number of signal encoding and thus increase imaging efficiency with minimal loss of image quality. Nonetheless, particularly in cardiac MRI it still suffers from artifacts and amplified noise in the presence of time-drifting coil sensitivity due to relative motion between coil and subject (e.g. free breathing). Furthermore, a substantial number of additional calibrating signals is to be acquired to warrant accurate calibration of coil sensitivity. In this work, we propose a novel, accelerated dynamic cardiac MRI with sparse-Kalman-smoother self-calibration and reconstruction (k - t SPARKS), which is robust to time-varying coil sensitivity even with a small number of calibrating signals. The proposed k - t SPARKS incorporates Kalman-smoother self-calibration in k - t space and sparse signal recovery in x - f space into a single optimization problem, leading to iterative, joint estimation of time-varying convolution kernels and missing signals in k - t space. In the Kalman-smoother calibration, motion-induced uncertainties over the entire time frames were included in modeling state transition while a coil-dependent noise statistic in describing measurement process. The sparse signal recovery iteratively alternates with the self-calibration to tackle the ill-conditioning problem potentially resulting from insufficient calibrating signals. Simulations and experiments were performed using both the proposed and conventional methods for comparison, revealing that the proposed k - t SPARKS yields higher signal-to-error ratio and superior temporal fidelity in both breath-hold and free-breathing cardiac applications over all reduction factors. |
|---|---|
| AbstractList | Accelerated dynamic MRI, which exploits spatiotemporal redundancies in k - t space and coil dimension, has been widely used to reduce the number of signal encoding and thus increase imaging efficiency with minimal loss of image quality. Nonetheless, particularly in cardiac MRI it still suffers from artifacts and amplified noise in the presence of time-drifting coil sensitivity due to relative motion between coil and subject (e.g. free breathing). Furthermore, a substantial number of additional calibrating signals is to be acquired to warrant accurate calibration of coil sensitivity. In this work, we propose a novel, accelerated dynamic cardiac MRI with sparse-Kalman-smoother self-calibration and reconstruction (k - t SPARKS), which is robust to time-varying coil sensitivity even with a small number of calibrating signals. The proposed k - t SPARKS incorporates Kalman-smoother self-calibration in k - t space and sparse signal recovery in x - f space into a single optimization problem, leading to iterative, joint estimation of time-varying convolution kernels and missing signals in k - t space. In the Kalman-smoother calibration, motion-induced uncertainties over the entire time frames were included in modeling state transition while a coil-dependent noise statistic in describing measurement process. The sparse signal recovery iteratively alternates with the self-calibration to tackle the ill-conditioning problem potentially resulting from insufficient calibrating signals. Simulations and experiments were performed using both the proposed and conventional methods for comparison, revealing that the proposed k - t SPARKS yields higher signal-to-error ratio and superior temporal fidelity in both breath-hold and free-breathing cardiac applications over all reduction factors.Accelerated dynamic MRI, which exploits spatiotemporal redundancies in k - t space and coil dimension, has been widely used to reduce the number of signal encoding and thus increase imaging efficiency with minimal loss of image quality. Nonetheless, particularly in cardiac MRI it still suffers from artifacts and amplified noise in the presence of time-drifting coil sensitivity due to relative motion between coil and subject (e.g. free breathing). Furthermore, a substantial number of additional calibrating signals is to be acquired to warrant accurate calibration of coil sensitivity. In this work, we propose a novel, accelerated dynamic cardiac MRI with sparse-Kalman-smoother self-calibration and reconstruction (k - t SPARKS), which is robust to time-varying coil sensitivity even with a small number of calibrating signals. The proposed k - t SPARKS incorporates Kalman-smoother self-calibration in k - t space and sparse signal recovery in x - f space into a single optimization problem, leading to iterative, joint estimation of time-varying convolution kernels and missing signals in k - t space. In the Kalman-smoother calibration, motion-induced uncertainties over the entire time frames were included in modeling state transition while a coil-dependent noise statistic in describing measurement process. The sparse signal recovery iteratively alternates with the self-calibration to tackle the ill-conditioning problem potentially resulting from insufficient calibrating signals. Simulations and experiments were performed using both the proposed and conventional methods for comparison, revealing that the proposed k - t SPARKS yields higher signal-to-error ratio and superior temporal fidelity in both breath-hold and free-breathing cardiac applications over all reduction factors. Accelerated dynamic MRI, which exploits spatiotemporal redundancies in k - t space and coil dimension, has been widely used to reduce the number of signal encoding and thus increase imaging efficiency with minimal loss of image quality. Nonetheless, particularly in cardiac MRI it still suffers from artifacts and amplified noise in the presence of time-drifting coil sensitivity due to relative motion between coil and subject (e.g. free breathing). Furthermore, a substantial number of additional calibrating signals is to be acquired to warrant accurate calibration of coil sensitivity. In this work, we propose a novel, accelerated dynamic cardiac MRI with sparse-Kalman-smoother self-calibration and reconstruction (k - t SPARKS), which is robust to time-varying coil sensitivity even with a small number of calibrating signals. The proposed k - t SPARKS incorporates Kalman-smoother self-calibration in k - t space and sparse signal recovery in x - f space into a single optimization problem, leading to iterative, joint estimation of time-varying convolution kernels and missing signals in k - t space. In the Kalman-smoother calibration, motion-induced uncertainties over the entire time frames were included in modeling state transition while a coil-dependent noise statistic in describing measurement process. The sparse signal recovery iteratively alternates with the self-calibration to tackle the ill-conditioning problem potentially resulting from insufficient calibrating signals. Simulations and experiments were performed using both the proposed and conventional methods for comparison, revealing that the proposed k - t SPARKS yields higher signal-to-error ratio and superior temporal fidelity in both breath-hold and free-breathing cardiac applications over all reduction factors. |
| Author | Park, Jaeseok Park, Suhyung |
| Author_xml | – sequence: 1 givenname: Suhyung surname: Park fullname: Park, Suhyung organization: Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon, 440-746, Republic of Korea – sequence: 2 givenname: Jaeseok surname: Park fullname: Park, Jaeseok |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25884383$$D View this record in MEDLINE/PubMed |
| BookMark | eNpNUM1Kw0AYXESxWn0CQfaohzX7k91sjkX8KSpKq-fyZfNFo8mm7qZgL-LV1_RJLFpBGJhhGAZmdsmm7zwSciD4ieDWJpwrwXKhdWJ4kifKaL1BdoQyghlt-OY_PSC7MT5zLoSV6TYZSG1tqqzaIe8j57DBAD2WtFx6aGtHHYSyBkdvJmOKb_Omq_vaP9I4hxCRXUHTgmex7br-CQON2FTMQVMXq5a68xR8SQO6zsc-LNyPdfTy9fG5Avulnk7vRpOr6fEe2aqgibi_5iF5OD-7P71k17cX49PRNXMq1T1LRY4gCy4qsClo4xy4ElSJNtPSSSWKtHAmVSaTeWYrUBIRNQcoVQVZJuWQHP32zkP3usDYz9o6roY34LFbxJkwmbaZkT_Rw3V0UbRYzuahbiEsZ3-fyW8eSnVT |
| CitedBy_id | crossref_primary_10_1007_s10851_022_01095_x crossref_primary_10_1007_s10851_017_0749_x |
| ContentType | Journal Article |
| DBID | CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1088/0031-9155/60/9/3655 |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| 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 | no_fulltext_linktorsrc |
| Discipline | Medicine Biology Physics |
| EISSN | 1361-6560 |
| ExternalDocumentID | 25884383 |
| Genre | Journal Article |
| GroupedDBID | --- -DZ -~X 123 1JI 4.4 5B3 5RE 5VS 5ZH 7.M 7.Q AAGCD AAJIO AAJKP AALHV AATNI ABCXL ABHWH ABJNI ABLJU ABQJV ABVAM ACAFW ACGFS ACHIP ADEQX AEFHF AENEX AFYNE AKPSB ALMA_UNASSIGNED_HOLDINGS AOAED ASPBG ATQHT AVWKF AZFZN CBCFC CEBXE CGR CJUJL CRLBU CS3 CUY CVF DU5 EBS ECM EDWGO EIF EJD EMSAF EPQRW EQZZN F5P IHE IJHAN IOP IZVLO KOT LAP M45 N5L N9A NPM NT- NT. P2P PJBAE R4D RIN RNS RO9 ROL RPA SY9 TN5 W28 XPP 7X8 AEINN |
| ID | FETCH-LOGICAL-c345t-419ea2b01fa84a56ccacda3de8752c231b4bc643672978fa32eee50aad3fa7722 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 2 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000354104700018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1361-6560 |
| IngestDate | Thu Oct 02 12:11:34 EDT 2025 Mon Jul 21 06:05:27 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c345t-419ea2b01fa84a56ccacda3de8752c231b4bc643672978fa32eee50aad3fa7722 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PMID | 25884383 |
| PQID | 1675876272 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_1675876272 pubmed_primary_25884383 |
| PublicationCentury | 2000 |
| PublicationDate | 2015-05-07 |
| PublicationDateYYYYMMDD | 2015-05-07 |
| PublicationDate_xml | – month: 05 year: 2015 text: 2015-05-07 day: 07 |
| PublicationDecade | 2010 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Physics in medicine & biology |
| PublicationTitleAlternate | Phys Med Biol |
| PublicationYear | 2015 |
| SSID | ssj0011824 |
| Score | 2.1450202 |
| Snippet | Accelerated dynamic MRI, which exploits spatiotemporal redundancies in k - t space and coil dimension, has been widely used to reduce the number of signal... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | 3655 |
| SubjectTerms | Algorithms Calibration Cardiac Imaging Techniques - methods Cardiac Imaging Techniques - standards Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - standards Motion Respiration Signal-To-Noise Ratio |
| Title | Accelerated dynamic cardiac MRI exploiting sparse-Kalman-smoother self-calibration and reconstruction (k - t SPARKS) |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/25884383 https://www.proquest.com/docview/1675876272 |
| Volume | 60 |
| WOSCitedRecordID | wos000354104700018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8NAEF5848X3-8EKHvSwNM3meZIiilJbSn3QW9knFNtUTRW8iFf_pr_EmU2qJ0EQQgKBQNiZnf1mZ_b7CDmMeNUEOpFMylgywP8pk8pqFikIl4k13Hf0xXdXcbOZdDppq9xwy8u2ynFMdIFaDxXukVeqiGxh5sb-ycMjQ9UorK6WEhqTZJoDlMGWrrjzU0UA7FyI2kZVhiQzY9YhSPrQmRlyo1cir5JWeBSGv2NMt9acL_73L5fIQokyaa1wi2UyYbIVMlvoTr6ukLlGWVGHl64FVOWr5K2mFKxBSB2hqS6E6qlyDqRoo31JDbbr9bBNmkIYesoNq4v-QGQsHwzdOS6am75lYHRMwdHgVGSaupT7m6aWHt1_vn_AxYrHiF63au369fEauT0_uzm9YKU6A1M8CEdYPjbCl17ViiQQYQSuoLTg2kAG5CuAjTKQCvBOBPA9TqzgvjEm9ITQ3ArA9P46mcqGmdkkNAik5SIVidJewHUo4xTlc6xOUT4w9rbIwXi0u-D9WNIQmRk-592f8d4iG4XJug8FTUfXxzO4kIBv_-HrHTIPSCh0nYzxLpm2MPfNHplRL6Ne_rTv3AruzVbjC6832lg |
| linkProvider | ProQuest |
| 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=Accelerated+dynamic+cardiac+MRI+exploiting+sparse-Kalman-smoother+self-calibration+and+reconstruction+%28k%E2%80%89%E2%80%89-%E2%80%89%E2%80%89t+SPARKS%29&rft.jtitle=Physics+in+medicine+%26+biology&rft.au=Park%2C+Suhyung&rft.au=Park%2C+Jaeseok&rft.date=2015-05-07&rft.eissn=1361-6560&rft.volume=60&rft.issue=9&rft.spage=3655&rft_id=info:doi/10.1088%2F0031-9155%2F60%2F9%2F3655&rft_id=info%3Apmid%2F25884383&rft_id=info%3Apmid%2F25884383&rft.externalDocID=25884383 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1361-6560&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1361-6560&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1361-6560&client=summon |