AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy

Cited 26 time in webofscience Cited 0 time in scopus
  • Hit : 515
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorPark, Young Wooko
dc.contributor.authorDeelchand, Dinesh K.ko
dc.contributor.authorJoers, James M.ko
dc.contributor.authorHanna, Brianko
dc.contributor.authorBerrington, Adamko
dc.contributor.authorGillen, Joseph S.ko
dc.contributor.authorKantarci, Kejalko
dc.contributor.authorSoher, Brian J.ko
dc.contributor.authorBarker, Peter B.ko
dc.contributor.authorPark, HyunWookko
dc.contributor.authorOz, Gulinko
dc.contributor.authorLenglet, Christopheko
dc.date.accessioned2018-11-22T07:06:21Z-
dc.date.available2018-11-22T07:06:21Z-
dc.date.created2018-11-19-
dc.date.created2018-11-19-
dc.date.issued2018-11-
dc.identifier.citationMAGNETIC RESONANCE IN MEDICINE, v.80, no.5, pp.1787 - 1798-
dc.identifier.issn0740-3194-
dc.identifier.urihttp://hdl.handle.net/10203/246877-
dc.description.abstractPurpose: To develop a fast and automated volume-of-interest (VOI) prescription pipeline (AutoVOI) for single-voxel MRS that removes the need for manual VOI placement, allows flexible VOI planning in any brain region, and enables high interand intra-subject consistency of VOI prescription. Methods: AutoVOI was designed to transfer pre-defined VOIs from an atlas to the 3D anatomical data of the subject during the scan. The AutoVOI pipeline was optimized for consistency in VOI placement (precision), enhanced coverage of the targeted tissue (accuracy), and fast computation speed. The tool was evaluated against manual VOI placement using existing T1-weighted data sets and corresponding VOI prescriptions. Finally, it was implemented on 2 scanner platforms to acquire MRS data from clinically relevant VOIs that span the cerebrum, cerebellum, and the brainstem. Results: The AutoVOI pipeline includes skull stripping, non-linear registration of the atlas to the subject's brain, and computation of the VOI coordinates and angulations using a minimum oriented bounding box algorithm. When compared against manual prescription, AutoVOI showed higher intra-and inter-subject spatial consistency, as quantified by generalized Dice coefficients (GDC), lower intra-and inter-subject variability in tissue composition (gray matter, white matter, and cerebrospinal fluid) and higher or equal accuracy, as quantified by GDC of prescribed VOI with targeted tissues. High quality spectra were obtained on Siemens and Philips 3T systems from 6 automatically prescribed VOIs by the tool. Conclusion: Robust automatic VOI prescription is feasible and can help facilitate clinical adoption of MRS by avoiding operator dependence of manual selection.-
dc.languageEnglish-
dc.publisherWILEY-
dc.subjectSHORT-ECHO-
dc.subjectNEUROCHEMICAL PROFILES-
dc.subjectSUPPRESSION SLICES-
dc.subjectBRAIN EXTRACTION-
dc.subjectMR SPECTROSCOPY-
dc.subjectREPRODUCIBILITY-
dc.subjectIMAGES-
dc.subject3T-
dc.subjectREGISTRATION-
dc.subjectHIPPOCAMPUS-
dc.titleAutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy-
dc.typeArticle-
dc.identifier.wosid000448872700003-
dc.identifier.scopusid2-s2.0-85044949373-
dc.type.rimsART-
dc.citation.volume80-
dc.citation.issue5-
dc.citation.beginningpage1787-
dc.citation.endingpage1798-
dc.citation.publicationnameMAGNETIC RESONANCE IN MEDICINE-
dc.identifier.doi10.1002/mrm.27203-
dc.contributor.localauthorPark, HyunWook-
dc.contributor.nonIdAuthorDeelchand, Dinesh K.-
dc.contributor.nonIdAuthorJoers, James M.-
dc.contributor.nonIdAuthorHanna, Brian-
dc.contributor.nonIdAuthorBerrington, Adam-
dc.contributor.nonIdAuthorGillen, Joseph S.-
dc.contributor.nonIdAuthorKantarci, Kejal-
dc.contributor.nonIdAuthorSoher, Brian J.-
dc.contributor.nonIdAuthorBarker, Peter B.-
dc.contributor.nonIdAuthorOz, Gulin-
dc.contributor.nonIdAuthorLenglet, Christophe-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorautomation-
dc.subject.keywordAuthorgeneralized dice coefficient-
dc.subject.keywordAuthorMRS-
dc.subject.keywordAuthorprescription-
dc.subject.keywordAuthorregistration-
dc.subject.keywordPlusSHORT-ECHO-
dc.subject.keywordPlusNEUROCHEMICAL PROFILES-
dc.subject.keywordPlusSUPPRESSION SLICES-
dc.subject.keywordPlusBRAIN EXTRACTION-
dc.subject.keywordPlusMR SPECTROSCOPY-
dc.subject.keywordPlusREPRODUCIBILITY-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordPlus3T-
dc.subject.keywordPlusREGISTRATION-
dc.subject.keywordPlusHIPPOCAMPUS-
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 26 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0