Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy
The aim of this study is to investigate the white matter by the diffusion tensor imaging and the Chinese visible human dataset and to provide the 3D anatomical data of the corticospinal tract for the neurosurgical planning by studying the probabilistic maps and the reproducibility of the corticospin...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/530432 |
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| _version_ | 1832558718435196928 |
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| author | Ming-guo Qiu Jing-na Zhang Ye Zhang Qi-yu Li Bing Xie Jian Wang |
| author_facet | Ming-guo Qiu Jing-na Zhang Ye Zhang Qi-yu Li Bing Xie Jian Wang |
| author_sort | Ming-guo Qiu |
| collection | DOAJ |
| description | The aim of this study is to investigate the white matter by the diffusion tensor imaging and the Chinese visible human dataset and to provide the 3D anatomical data of the corticospinal tract for the neurosurgical planning by studying the probabilistic maps and the reproducibility of the corticospinal tract. Diffusion tensor images and high-resolution T1-weighted images of 15 healthy volunteers were acquired; the DTI data were processed using DtiStudio and FSL software. The FA and color FA maps were compared with the sectional images of the Chinese visible human dataset. The probability maps of the corticospinal tract were generated as a quantitative measure of reproducibility for each voxel of the stereotaxic space. The fibers displayed by the diffusion tensor imaging were well consistent with the sectional images of the Chinese visible human dataset and the existing anatomical knowledge. The three-dimensional architecture of the white matter fibers could be clearly visualized on the diffusion tensor tractography. The diffusion tensor tractography can establish the 3D probability maps of the corticospinal tract, in which the degree of intersubject reproducibility of the corticospinal tract is consistent with the previous architectonic report. DTI is a reliable method of studying the fiber connectivity in human brain, but it is difficult to identify the tiny fibers. The probability maps are useful for evaluating and identifying the corticospinal tract in the DTI, providing anatomical information for the preoperative planning and improving the accuracy of surgical risk assessments preoperatively. |
| format | Article |
| id | doaj-art-4295234b7d544a38bb63d40695f10f3d |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-4295234b7d544a38bb63d40695f10f3d2025-02-03T01:31:45ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/530432530432Diffusion Tensor Imaging-Based Research on Human White Matter AnatomyMing-guo Qiu0Jing-na Zhang1Ye Zhang2Qi-yu Li3Bing Xie4Jian Wang5Department of Medical Informatics and Medical Image, College of Biomedical Engineering and Medical Imaging, Third Military Medical University, Chongqing 400038, ChinaDepartment of Medical Informatics and Medical Image, College of Biomedical Engineering and Medical Imaging, Third Military Medical University, Chongqing 400038, ChinaDepartment of Medical Informatics and Medical Image, College of Biomedical Engineering and Medical Imaging, Third Military Medical University, Chongqing 400038, ChinaDepartment of Anatomy, Third Military Medical University, Chongqing 400038, ChinaDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing 400038, ChinaDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing 400038, ChinaThe aim of this study is to investigate the white matter by the diffusion tensor imaging and the Chinese visible human dataset and to provide the 3D anatomical data of the corticospinal tract for the neurosurgical planning by studying the probabilistic maps and the reproducibility of the corticospinal tract. Diffusion tensor images and high-resolution T1-weighted images of 15 healthy volunteers were acquired; the DTI data were processed using DtiStudio and FSL software. The FA and color FA maps were compared with the sectional images of the Chinese visible human dataset. The probability maps of the corticospinal tract were generated as a quantitative measure of reproducibility for each voxel of the stereotaxic space. The fibers displayed by the diffusion tensor imaging were well consistent with the sectional images of the Chinese visible human dataset and the existing anatomical knowledge. The three-dimensional architecture of the white matter fibers could be clearly visualized on the diffusion tensor tractography. The diffusion tensor tractography can establish the 3D probability maps of the corticospinal tract, in which the degree of intersubject reproducibility of the corticospinal tract is consistent with the previous architectonic report. DTI is a reliable method of studying the fiber connectivity in human brain, but it is difficult to identify the tiny fibers. The probability maps are useful for evaluating and identifying the corticospinal tract in the DTI, providing anatomical information for the preoperative planning and improving the accuracy of surgical risk assessments preoperatively.http://dx.doi.org/10.1100/2012/530432 |
| spellingShingle | Ming-guo Qiu Jing-na Zhang Ye Zhang Qi-yu Li Bing Xie Jian Wang Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy The Scientific World Journal |
| title | Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy |
| title_full | Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy |
| title_fullStr | Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy |
| title_full_unstemmed | Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy |
| title_short | Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy |
| title_sort | diffusion tensor imaging based research on human white matter anatomy |
| url | http://dx.doi.org/10.1100/2012/530432 |
| work_keys_str_mv | AT mingguoqiu diffusiontensorimagingbasedresearchonhumanwhitematteranatomy AT jingnazhang diffusiontensorimagingbasedresearchonhumanwhitematteranatomy AT yezhang diffusiontensorimagingbasedresearchonhumanwhitematteranatomy AT qiyuli diffusiontensorimagingbasedresearchonhumanwhitematteranatomy AT bingxie diffusiontensorimagingbasedresearchonhumanwhitematteranatomy AT jianwang diffusiontensorimagingbasedresearchonhumanwhitematteranatomy |