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- Publisher Website: 10.1016/j.neuroimage.2010.10.018
- Scopus: eid_2-s2.0-78650247144
- PMID: 20951216
- WOS: WOS:000286302000036
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Article: Entropy-based analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord
Title | Entropy-based analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord | ||||
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Authors | |||||
Keywords | Diffusion tensor imaging (DTI) Fractional anisotropy (FA) Microstructure Shannon entropy Spinal cord | ||||
Issue Date | 2011 | ||||
Publisher | Academic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg | ||||
Citation | Neuroimage, 2011, v. 54 n. 3, p. 2125-2131 How to Cite? | ||||
Abstract | The present study utilized diffusion MR imaging and fractional anisotropy (FA) mapping to delineate the microstructure of spinal cord. The concept of Shannon entropy was introduced to analyze the complex microstructure of healthy and injured spinal cords based on FA map. A total of 30 volunteers were recruited in this study with informed consent, including 13 healthy adult subjects (group A, 25. ±. 3. years), 12 healthy elderly subjects (group B, 53. ±. 7. years) and 5 cervical spondylotic myelopathy (CSM) patients (group C, 53. ±. 15. years). Diffusion MRI images of cervical spinal cord were taken using pulsed gradient spin-echo-echo-planar imaging (SE-EPI) sequence with a 3. T MR system. The region of interest was defined to cover the spinal cord in FA maps. The Shannon entropy of FA values of voxels in the cord was calculated as well as the average FA values. The significant differences were determined among three groups using one-way ANOVA and post-hoc test. As compared with adult and elderly healthy subjects, the entropy of whole spinal cord was significantly 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 significant difference in FA values among groups (group A: 0.62. ±. 0.08; B: 0.64. ±. 0.09; C: 0.64. ±. 0.12). In CSM patients, there was a loss of architectural structural complexity in the cervical spinal cord tissue as noted by the lower Shannon entropy value. It indicated the potential application of entropy-based analysis for the diagnosis of the severity of chronic compressive spinal cord injuries, i.e. CSM. © 2010 Elsevier Inc. | ||||
Persistent Identifier | http://hdl.handle.net/10722/135300 | ||||
ISSN | 2023 Impact Factor: 4.7 2023 SCImago Journal Rankings: 2.436 | ||||
ISI Accession Number ID |
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 Field | Value | Language |
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dc.contributor.author | Cui, JL | en_HK |
dc.contributor.author | Wen, CY | en_HK |
dc.contributor.author | Hu, Y | en_HK |
dc.contributor.author | Li, TH | en_HK |
dc.contributor.author | Luk, KDK | en_HK |
dc.date.accessioned | 2011-07-27T01:31:46Z | - |
dc.date.available | 2011-07-27T01:31:46Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Neuroimage, 2011, v. 54 n. 3, p. 2125-2131 | en_HK |
dc.identifier.issn | 1053-8119 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/135300 | - |
dc.description.abstract | The present study utilized diffusion MR imaging and fractional anisotropy (FA) mapping to delineate the microstructure of spinal cord. The concept of Shannon entropy was introduced to analyze the complex microstructure of healthy and injured spinal cords based on FA map. A total of 30 volunteers were recruited in this study with informed consent, including 13 healthy adult subjects (group A, 25. ±. 3. years), 12 healthy elderly subjects (group B, 53. ±. 7. years) and 5 cervical spondylotic myelopathy (CSM) patients (group C, 53. ±. 15. years). Diffusion MRI images of cervical spinal cord were taken using pulsed gradient spin-echo-echo-planar imaging (SE-EPI) sequence with a 3. T MR system. The region of interest was defined to cover the spinal cord in FA maps. The Shannon entropy of FA values of voxels in the cord was calculated as well as the average FA values. The significant differences were determined among three groups using one-way ANOVA and post-hoc test. As compared with adult and elderly healthy subjects, the entropy of whole spinal cord was significantly 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 significant difference in FA values among groups (group A: 0.62. ±. 0.08; B: 0.64. ±. 0.09; C: 0.64. ±. 0.12). In CSM patients, there was a loss of architectural structural complexity in the cervical spinal cord tissue as noted by the lower Shannon entropy value. It indicated the potential application of entropy-based analysis for the diagnosis of the severity of chronic compressive spinal cord injuries, i.e. CSM. © 2010 Elsevier Inc. | en_HK |
dc.language | eng | en_US |
dc.publisher | Academic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg | en_HK |
dc.relation.ispartof | NeuroImage | en_HK |
dc.subject | Diffusion tensor imaging (DTI) | en_HK |
dc.subject | Fractional anisotropy (FA) | en_HK |
dc.subject | Microstructure | en_HK |
dc.subject | Shannon entropy | en_HK |
dc.subject | Spinal cord | en_HK |
dc.subject.mesh | Anisotropy | - |
dc.subject.mesh | Diffusion Tensor Imaging - methods | - |
dc.subject.mesh | Image Processing, Computer-Assisted - methods | - |
dc.subject.mesh | Spinal Cord - pathology | - |
dc.subject.mesh | Spinal Cord Diseases - pathology | - |
dc.title | Entropy-based analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-8119&volume=54&issue=3&spage=2125&epage=2131&date=2011&atitle=Entropy-based+analysis+for+diffusion+anisotropy+mapping+of+healthy+and+myelopathic+spinal+cord | en_US |
dc.identifier.email | Hu, Y:yhud@hku.hk | en_HK |
dc.identifier.email | Luk, KDK:hcm21000@hku.hk | en_HK |
dc.identifier.authority | Hu, Y=rp00432 | en_HK |
dc.identifier.authority | Luk, KDK=rp00333 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.neuroimage.2010.10.018 | en_HK |
dc.identifier.pmid | 20951216 | - |
dc.identifier.scopus | eid_2-s2.0-78650247144 | en_HK |
dc.identifier.hkuros | 188829 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-78650247144&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 54 | en_HK |
dc.identifier.issue | 3 | en_HK |
dc.identifier.spage | 2125 | en_HK |
dc.identifier.epage | 2131 | en_HK |
dc.identifier.eissn | 1095-9572 | - |
dc.identifier.isi | WOS:000286302000036 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Cui, JL=37086969000 | en_HK |
dc.identifier.scopusauthorid | Wen, CY=36731630800 | en_HK |
dc.identifier.scopusauthorid | Hu, Y=7407116091 | en_HK |
dc.identifier.scopusauthorid | Li, TH=36731309200 | en_HK |
dc.identifier.scopusauthorid | Luk, KDK=7201921573 | en_HK |
dc.identifier.citeulike | 8045227 | - |
dc.identifier.issnl | 1053-8119 | - |