| Landmark-referenced voxel-based analysis of diffusion tensor images of the brainstem white matter tracts: application in patients with middle cerebral artery stroke. | |
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MedLine Citation:
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PMID: 18852056 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Although DTI can provide detailed information about white matter anatomy, it is not yet straightforward enough to quantify the anatomical information it visualizes. In this study, we developed and tested a new tool to perform brain normalization and voxel-based analysis of DTI data. For the normalization part, manually placed landmarks ensured that the visualized white matter tracts were well-registered among the populations. A standard landmark set in ICBM-152 space and an interface to remap them to subject data were integrated in the procedure. After landmark placement, highly elastic non-linear Large Deformation Diffeomorphic Metric Mapping (LDDMM) was driven by the landmarks to normalize the brainstem anatomy of normal subjects. The approach was then applied to delineate brainstem tract abnormalities in patients with left chronic middle cerebral artery (MCA) stroke. The voxel-based comparison between control and patient groups identified abnormalities in the ipsilesional corticospinal tract and contralesional cerebellar peduncles. We believe that this tool is useful for regional brain normalization of patients with severe anatomical alterations, such as stroke, brain tumor, and lobectomy, for whom standard automated normalization tools may not work properly. |
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Authors:
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Weihong Zhang; Xin Li; Jiangyang Zhang; Andreas Luft; Daniel F Hanley; Peter van Zijl; Michael I Miller; Laurent Younes; Susumu Mori |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Date: 2008-09-25 |
Journal Detail:
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Title: NeuroImage Volume: 44 ISSN: 1095-9572 ISO Abbreviation: Neuroimage Publication Date: 2009 Feb |
Date Detail:
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Created Date: 2008-12-22 Completed Date: 2009-02-19 Revised Date: 2011-09-26 |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: United States |
Other Details:
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Languages: eng Pagination: 906-13 Citation Subset: IM |
Affiliation:
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FM Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms Artificial Intelligence Brain Stem / blood supply, pathology* Diffusion Magnetic Resonance Imaging / methods* Female Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Infarction, Middle Cerebral Artery / pathology* Male Middle Aged Middle Cerebral Artery / pathology* Nerve Fibers, Myelinated / pathology* Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity Subtraction Technique |
| Grant Support | |
ID/Acronym/Agency:
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1R01 NS 24282-08/NS/NINDS NIH HHS; P41 RR015241-040003/RR/NCRR NIH HHS; P41 RR015241-050003/RR/NCRR NIH HHS; P41 RR015241-060003/RR/NCRR NIH HHS; P41 RR015241-078615/RR/NCRR NIH HHS; P41 RR015241-086350/RR/NCRR NIH HHS; P41 RR015241-09/RR/NCRR NIH HHS; P41RR015241/RR/NCRR NIH HHS; P60AG 12583/AG/NIA NIH HHS; R01 AG020012-01/AG/NIA NIH HHS; R01 AG020012-02/AG/NIA NIH HHS; R01 AG020012-03/AG/NIA NIH HHS; R01 AG020012-04/AG/NIA NIH HHS; R01 AG020012-05/AG/NIA NIH HHS; R01 AG020012-06A1/AG/NIA NIH HHS; R01 AG020012-07/AG/NIA NIH HHS; R01 AG020012-09/AG/NIA NIH HHS; R01AG20012/AG/NIA NIH HHS; R03 HD037931-01/HD/NICHD NIH HHS; R03 HD037931-02/HD/NICHD NIH HHS; U24 RR021382-03/RR/NCRR NIH HHS; U24RR021382/RR/NCRR NIH HHS |
| Comments/Corrections | |
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