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Fast, accurate, and automatic extraction of the modified Talairach cortical landmarks from magnetic resonance images.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2005 Apr; Vol. 53 (4), pp. 970-6. - Publication Year :
- 2005
-
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.<br /> (Copyright 2005 Wiley-Liss, Inc.)
Details
- Language :
- English
- ISSN :
- 0740-3194
- Volume :
- 53
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 15799035
- Full Text :
- https://doi.org/10.1002/mrm.20424