NITRC News Group Forum: three-dimensional-interactive-and-stereotactic-human-brain-atlas-of-white-matter-tracts

NITRC News Group Forum: three-dimensional-interactive-and-stereotactic-human-brain-atlas-of-white-matter-tracts http://www.nitrc.org/forum/forum.php?forum_id=2352 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">We present a human brain atlas of white matter (WM) tracts containing 40 major tracts, which is three-dimensional (3D), segmented, labeled, interactive, stereotactic and correlated to structure and vasculature. We consider: 1) WM accuracy by correlating WM tracts to underlying neuroanatomy and quantifying them; 2) balance between realism and completeness by processing a sequence of track volumes generated for various parameters with the increasing track number to enable a tract “shape convergence”. MPRAGE and DTI in 64 directions of the same subject were acquired on 3 Tesla. The method has three steps: DTI-MPRAGE registration, 3D tract generation from DTI, to WM reconstruction from MPRAGE to parcellation into 17 components. 82 track volumes were generated for a wide spectrum of parameter values: Fractional Anisotropy threshold in [0.0125, 0.55] and trajectory angle lower than 45°,60°,65°,70°,75°,80°,85°,90°. For each tract, a sequence of track volumes was processed to create/edit contours delineating this tract to achieve its shape convergence. The parcellated tracts were grouped into commissures, associations, projections and posterior fossa tracts, and labeled following Terminologia Anatomica. To facilitate that, a dedicated tract editor is developed which processes multiple track volumes, handles tracts in three representations (tracks, contours, envelopes); provides editing/visualization simultaneously on axial, coronal, sagittal planes; enables tract labeling and coloring; and provides numerous tools (track counting, smoothing and length thresholding; representation conversion and saving; structural atlas support). A stereotactic tract atlas along with parcellated WM was developed to explore in real-time any individual tract or their groups along with surrounding neuroanatomy. </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 1-23</li><li>DOI 10.1007/s12021-011-9118-x</li><li>Authors<ul> <li>Wieslaw L. Nowinski, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li><li>Beng Choon Chua, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li><li>Guo Liang Yang, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li><li>Guo Yu Qian, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Mon, 20 Apr 2026 0:39:21 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator