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Article: Orientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord

TitleOrientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord
Authors
KeywordsCervical myelopathy
Diffusion tensor imaging
Eigenvector
Orientation entropy
Spinal cord
Issue Date2011
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2011, v. 58 n. 4, p. 1028-1033 How to Cite?
AbstractThe majority of nerve fibers in the spinal cord run longitudinally, playing an important role in connecting the brain to the peripheral nerves. There is a growing interest in applying diffusion tensor imaging (DTI) to the evaluation of spinal cord microarchitecture. The current study sought to compare the organization of longitudinal nerve fibers between healthy and myelopathic spinal cords using entropy-based analysis of principal eigenvector mapping. A total of 22 subjects were recruited, including 14 healthy subjects, seven cervical myelopathy (CM) patients with single-level compression, and one patient suffering from multi-level compression. Diffusion tensor magnetic resonance (MR) images of the cervical spinal cord were obtained using a pulsed gradient, spin-echo echo-planar imaging (SE-EPI) sequence with a 3T MR system. Regions of interest (ROIs) were drawn manually to cover the spinal cord, and Shannon entropy was calculated in principal eigenvector maps. The results revealed no significant differences in orientation entropy values along the whole length of cervical spinal cord in healthy subjects (C2-3: 0.73 ± 0.05; C3-4: 0.71 ± 0.07; C4-5: 0.72 ± 0.048; C5-6: 0.71 ± 0.07; C6-7: 0.72 ± 0.07). In contrast, orientation entropy values in myelopathic cord were significantly higher at the compression site (0.91 ± 0.03), and the adjacent levels (above: 0.85 ± 0.03; below: 0.83 ± 0.05). This study provides a novel approach to analyze the orientation information in diffusion MR images of healthy and diseased spinal cord. These results indicate that orientation entropy can be applied to determine the contribution of each compression level to the overall disorganization of principal nerve tracts of myelopathic spinal cord in cases with multi-level compression. © 2011 Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/135306
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464
ISI Accession Number ID
Funding AgencyGrant Number
University Grant Council of Hong Kong771608M
Funding Information:

The study is supported by the General Research Fund of the University Grant Council of Hong Kong (771608M). The authors would like to thank Dr. Kin-Cheung Mak and Dr. Henry Mak for their assistance in patient recruitment and MRI scanning.

References

 

DC FieldValueLanguage
dc.contributor.authorCui, JLen_HK
dc.contributor.authorWen, CYen_HK
dc.contributor.authorHu, Yen_HK
dc.contributor.authorMak, KCen_HK
dc.contributor.authorMak, KHHen_HK
dc.contributor.authorLuk, KDKen_HK
dc.date.accessioned2011-07-27T01:33:08Z-
dc.date.available2011-07-27T01:33:08Z-
dc.date.issued2011en_HK
dc.identifier.citationNeuroimage, 2011, v. 58 n. 4, p. 1028-1033en_HK
dc.identifier.issn1053-8119en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135306-
dc.description.abstractThe majority of nerve fibers in the spinal cord run longitudinally, playing an important role in connecting the brain to the peripheral nerves. There is a growing interest in applying diffusion tensor imaging (DTI) to the evaluation of spinal cord microarchitecture. The current study sought to compare the organization of longitudinal nerve fibers between healthy and myelopathic spinal cords using entropy-based analysis of principal eigenvector mapping. A total of 22 subjects were recruited, including 14 healthy subjects, seven cervical myelopathy (CM) patients with single-level compression, and one patient suffering from multi-level compression. Diffusion tensor magnetic resonance (MR) images of the cervical spinal cord were obtained using a pulsed gradient, spin-echo echo-planar imaging (SE-EPI) sequence with a 3T MR system. Regions of interest (ROIs) were drawn manually to cover the spinal cord, and Shannon entropy was calculated in principal eigenvector maps. The results revealed no significant differences in orientation entropy values along the whole length of cervical spinal cord in healthy subjects (C2-3: 0.73 ± 0.05; C3-4: 0.71 ± 0.07; C4-5: 0.72 ± 0.048; C5-6: 0.71 ± 0.07; C6-7: 0.72 ± 0.07). In contrast, orientation entropy values in myelopathic cord were significantly higher at the compression site (0.91 ± 0.03), and the adjacent levels (above: 0.85 ± 0.03; below: 0.83 ± 0.05). This study provides a novel approach to analyze the orientation information in diffusion MR images of healthy and diseased spinal cord. These results indicate that orientation entropy can be applied to determine the contribution of each compression level to the overall disorganization of principal nerve tracts of myelopathic spinal cord in cases with multi-level compression. © 2011 Elsevier Inc.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.subjectCervical myelopathyen_HK
dc.subjectDiffusion tensor imagingen_HK
dc.subjectEigenvectoren_HK
dc.subjectOrientation entropyen_HK
dc.subjectSpinal corden_HK
dc.titleOrientation entropy analysis of diffusion tensor in healthy and myelopathic spinal corden_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-8119&volume=58&issue=4&spage=1028&epage=1033&date=2011&atitle=Orientation+entropy+analysis+of+diffusion+tensor+in+healthy+and+myelopathic+spinal+cord-
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.identifier.authorityLuk, KDK=rp00333en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.neuroimage.2011.06.072en_HK
dc.identifier.pmid21777679-
dc.identifier.scopuseid_2-s2.0-80052610827en_HK
dc.identifier.hkuros188841en_US
dc.identifier.hkuros210966-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052610827&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume58en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1028en_HK
dc.identifier.epage1033en_HK
dc.identifier.isiWOS:000295183200006-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCui, JL=37086969000en_HK
dc.identifier.scopusauthoridWen, CY=36731630800en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridMak, KC=51663738600en_HK
dc.identifier.scopusauthoridMak, KHH=55221552300en_HK
dc.identifier.scopusauthoridLuk, KDK=7201921573en_HK

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