Fast, accurate, and automatic extraction of the modified talairach cortical landmarks from magnetic resonance images
✍ Scribed by Qingmao Hu; Guoyu Qian; Wieslaw L. Nowinski
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 358 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0740-3194
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✦ Synopsis
Abstract
The Talairach transformation is the most prevalent way to normalize brains and is hindered by, among others things, a lack of automatic determination of cortical landmarks. An algorithm to locate the modified Talairach cortical landmarks in three steps is proposed: determination of the three planes containing the landmarks; segmentation of the planes based on range‐constrained thresholding and morphologic operations; and local refinement of the segmentation to locate the landmarks. The algorithm has been validated against 62 T~1~‐weighted and SPGR MR diversified data sets. For each data set, it takes less than 2 s on a Pentium 4 to extract all six landmarks. The average landmark location errors are below 0.9 mm. The algorithm is robust due to incorporation of anatomic knowledge. A low computational cost results from processing of three 2D images and employing only simple operations like thresholding, basic morphologic operations, and distance transform. Magn Reson Med 53:970–976, 2005. © 2005 Wiley‐Liss, Inc.