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Article: Automated brain tissue segmentation based on fractional signal mapping from inversion recovery Look-Locker acquisition

TitleAutomated brain tissue segmentation based on fractional signal mapping from inversion recovery Look-Locker acquisition
Authors
KeywordsAutomated segmentation
Brain tissue
Fast T1 mapping
Fractional volume
Magnetic resonance imaging
Partial volume effect
Issue Date2010
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2010, v. 52 n. 4, p. 1347-1354 How to Cite?
AbstractMost current automated segmentation methods are performed on T 1- or T 2-weighted MR images, relying on relative image intensity that is dependent on other MR parameters and sensitive to B 1 magnetic field inhomogeneity. Here, we propose an image segmentation method based on quantitative longitudinal magnetization relaxation time (T 1) of brain tissues. Considering the partial volume effect, fractional volume maps of brain tissues (white matter, gray matter, and cerebrospinal fluid) were obtained by fitting the observed signal in an inversion recovery procedure to a linear combination of three exponential functions, which represents the relaxations of each of the tissue types. A Look-Locker acquisition was employed to accelerate the acquisition process. The feasibility and efficacy of this proposed method were evaluated using simulations and experiments. The potential applications of this method in the study of neurological disease as well as normal brain development and aging are discussed. © 2010.
Persistent Identifierhttp://hdl.handle.net/10722/169875
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorShin, Wen_HK
dc.contributor.authorGeng, Xen_HK
dc.contributor.authorGu, Hen_HK
dc.contributor.authorZhan, Wen_HK
dc.contributor.authorZou, Qen_HK
dc.contributor.authorYang, Yen_HK
dc.date.accessioned2012-10-25T04:57:29Z-
dc.date.available2012-10-25T04:57:29Z-
dc.date.issued2010en_HK
dc.identifier.citationNeuroimage, 2010, v. 52 n. 4, p. 1347-1354en_HK
dc.identifier.issn1053-8119en_HK
dc.identifier.urihttp://hdl.handle.net/10722/169875-
dc.description.abstractMost current automated segmentation methods are performed on T 1- or T 2-weighted MR images, relying on relative image intensity that is dependent on other MR parameters and sensitive to B 1 magnetic field inhomogeneity. Here, we propose an image segmentation method based on quantitative longitudinal magnetization relaxation time (T 1) of brain tissues. Considering the partial volume effect, fractional volume maps of brain tissues (white matter, gray matter, and cerebrospinal fluid) were obtained by fitting the observed signal in an inversion recovery procedure to a linear combination of three exponential functions, which represents the relaxations of each of the tissue types. A Look-Locker acquisition was employed to accelerate the acquisition process. The feasibility and efficacy of this proposed method were evaluated using simulations and experiments. The potential applications of this method in the study of neurological disease as well as normal brain development and aging are discussed. © 2010.en_HK
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimgen_HK
dc.relation.ispartofNeuroImageen_HK
dc.subjectAutomated segmentationen_HK
dc.subjectBrain tissueen_HK
dc.subjectFast T1 mappingen_HK
dc.subjectFractional volumeen_HK
dc.subjectMagnetic resonance imagingen_HK
dc.subjectPartial volume effecten_HK
dc.subject.meshAlgorithmsen_US
dc.subject.meshArtificial Intelligenceen_US
dc.subject.meshBrain - Anatomy & Histologyen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshImage Enhancement - Methodsen_US
dc.subject.meshImage Interpretation, Computer-Assisted - Methodsen_US
dc.subject.meshMagnetic Resonance Imaging - Methodsen_US
dc.subject.meshMaleen_US
dc.subject.meshPattern Recognition, Automated - Methodsen_US
dc.subject.meshReproducibility Of Resultsen_US
dc.subject.meshSensitivity And Specificityen_US
dc.subject.meshSignal Processing, Computer-Assisteden_US
dc.titleAutomated brain tissue segmentation based on fractional signal mapping from inversion recovery Look-Locker acquisitionen_HK
dc.typeArticleen_HK
dc.identifier.emailGeng, X: gengx@hku.hken_HK
dc.identifier.authorityGeng, X=rp01678en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.neuroimage.2010.05.001en_HK
dc.identifier.pmid20452444-
dc.identifier.scopuseid_2-s2.0-77954953105en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77954953105&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume52en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1347en_HK
dc.identifier.epage1354en_HK
dc.identifier.isiWOS:000280695200023-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridShin, W=8573966900en_HK
dc.identifier.scopusauthoridGeng, X=34771310000en_HK
dc.identifier.scopusauthoridGu, H=35233258000en_HK
dc.identifier.scopusauthoridZhan, W=7102238668en_HK
dc.identifier.scopusauthoridZou, Q=14025198500en_HK
dc.identifier.scopusauthoridYang, Y=7409387192en_HK
dc.identifier.citeulike7154583-

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