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Conference Paper: The Entropy in Fractional Anisotropy Mapping of Healthy and Injured Spinal Cord of Human Beings

TitleThe Entropy in Fractional Anisotropy Mapping of Healthy and Injured Spinal Cord of Human Beings
Authors
Issue Date2010
PublisherWorld Spinal Column Society (WscS). The Journal's web site is located at http://www.wscj.org/
Citation
The 26th Annual Meeting of the European Section of the Cervical Spine Research Society (CSRS-ES), Corfu island, Greece, 26-29 May 2010. In World Spinal Column Journal, 2010, v. 1 n. 3, p. 238 How to Cite?
AbstractPurposes: Diffusion MR imaging has been employed to delineate the functional ultrastructure of spinal cord (SC) experimentally and clinically. The ultrastructural complexity of SC builds the foundation of its normal function of spinal cord. Loss of the ultrastructural complexity would lead to functional abnormality. In the present study, we aimed to introduce the concept of entropy to describe the ultrastrucral complexity of spinal cord in fractional anisotropy (FA) mapping among healthy and cervical spondylotic myelopathy (CSM) patients. Subjects: Total 30 volunteers were recruited in this study with informed consent, including 13 adult healthy subjects (group A, 25±3 yrs), 12 elderly healthy subjects (group B, 53±7 yrs) and 5 CSM patients (group C, 53±15 yrs). Diffusion MR Imaging: MR imaging of cervical spinal cord were performed with a 3T Philips MR system (Philips Medical System, Netherlands). Diffusion MRI images were taken using pulsed gradient, spin-echo-echo-planar imaging (SE-EPI) sequence(data acquisition parameters: TR/TS=5000/60 ms; 13 slices (7mm slice thickness, 2.2mm gap); fi eld of view (FOV) = 80 (RL) ×36 (AP) mm; matrix size =128×128; non-collinear diffusion encoding directions=16, b=600s/ mm2; reconstruction resolution= 0.63×0.64×7.0mm3; acquisition time=8 minutes). Image analysis: Fractional anisotropy mapping of cervical spinal cord was generated via DTI studio. Region of interest was defi ned based on B0 images to cover the cord in. The mean and Shannon entropy of FA values were calculated for comparison. Statistics: The comparisons were performed among three groups using one-way ANOVA and post-hoc test. The p value was set at 0.05. Results: As compared with adult and aged healthy subjects, the entropy was signifi cantly lower in CSM patients (group A: 6.07±0.18; B: 6.01±0.23; C: 5.32±0.44; p<0.05). Whereas there were no signifi cant difference in FA values among groups (group A: 0.62±0.08; B: 0.64±0.09; C: 0.64±0.12). Among the healthy subjects, the coeffi cient of variance (CV) for the entropy was 34% yet the CV of FA was 1314%. Conclusion: Loss of entropy in fractional anisotropy mapping of cervical spinal cord in CSM patients. Entropy might be a new index in diffusion MR imaging for the diagnosis of CSM.
DescriptionPoster Presentation 23
Persistent Identifierhttp://hdl.handle.net/10722/135994
ISSN

 

DC FieldValueLanguage
dc.contributor.authorWen, Cen_US
dc.contributor.authorCui, Jen_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorLuk, KDKen_US
dc.date.accessioned2011-07-27T02:01:01Z-
dc.date.available2011-07-27T02:01:01Z-
dc.date.issued2010en_US
dc.identifier.citationThe 26th Annual Meeting of the European Section of the Cervical Spine Research Society (CSRS-ES), Corfu island, Greece, 26-29 May 2010. In World Spinal Column Journal, 2010, v. 1 n. 3, p. 238en_US
dc.identifier.issn2146-5622-
dc.identifier.urihttp://hdl.handle.net/10722/135994-
dc.descriptionPoster Presentation 23-
dc.description.abstractPurposes: Diffusion MR imaging has been employed to delineate the functional ultrastructure of spinal cord (SC) experimentally and clinically. The ultrastructural complexity of SC builds the foundation of its normal function of spinal cord. Loss of the ultrastructural complexity would lead to functional abnormality. In the present study, we aimed to introduce the concept of entropy to describe the ultrastrucral complexity of spinal cord in fractional anisotropy (FA) mapping among healthy and cervical spondylotic myelopathy (CSM) patients. Subjects: Total 30 volunteers were recruited in this study with informed consent, including 13 adult healthy subjects (group A, 25±3 yrs), 12 elderly healthy subjects (group B, 53±7 yrs) and 5 CSM patients (group C, 53±15 yrs). Diffusion MR Imaging: MR imaging of cervical spinal cord were performed with a 3T Philips MR system (Philips Medical System, Netherlands). Diffusion MRI images were taken using pulsed gradient, spin-echo-echo-planar imaging (SE-EPI) sequence(data acquisition parameters: TR/TS=5000/60 ms; 13 slices (7mm slice thickness, 2.2mm gap); fi eld of view (FOV) = 80 (RL) ×36 (AP) mm; matrix size =128×128; non-collinear diffusion encoding directions=16, b=600s/ mm2; reconstruction resolution= 0.63×0.64×7.0mm3; acquisition time=8 minutes). Image analysis: Fractional anisotropy mapping of cervical spinal cord was generated via DTI studio. Region of interest was defi ned based on B0 images to cover the cord in. The mean and Shannon entropy of FA values were calculated for comparison. Statistics: The comparisons were performed among three groups using one-way ANOVA and post-hoc test. The p value was set at 0.05. Results: As compared with adult and aged healthy subjects, the entropy was signifi cantly lower in CSM patients (group A: 6.07±0.18; B: 6.01±0.23; C: 5.32±0.44; p<0.05). Whereas there were no signifi cant difference in FA values among groups (group A: 0.62±0.08; B: 0.64±0.09; C: 0.64±0.12). Among the healthy subjects, the coeffi cient of variance (CV) for the entropy was 34% yet the CV of FA was 1314%. Conclusion: Loss of entropy in fractional anisotropy mapping of cervical spinal cord in CSM patients. Entropy might be a new index in diffusion MR imaging for the diagnosis of CSM.-
dc.languageengen_US
dc.publisherWorld Spinal Column Society (WscS). The Journal's web site is located at http://www.wscj.org/-
dc.relation.ispartofWorld Spinal Column Journalen_US
dc.titleThe Entropy in Fractional Anisotropy Mapping of Healthy and Injured Spinal Cord of Human Beingsen_US
dc.typeConference_Paperen_US
dc.identifier.emailWen, C: paulwen@hku.hken_US
dc.identifier.emailHu, Y: yhud@hku.hken_US
dc.identifier.emailLuk, KDK: hcm21000@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityLuk, KDK=rp00333en_US
dc.identifier.hkuros188854en_US
dc.identifier.volume1-
dc.identifier.issue3-
dc.identifier.spage238-
dc.identifier.epage238-

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