Directional correlation in white matter tracks of the human brain

Journal of Magnetic Resonance Imaging : JMRI
U KloseW Grodd

Abstract

To describe a technique for the detection of distinct brain fibers in sets of magnetic resonance (MR) diffusion tensor imaging (DTI) data. MR-DTI can be used for a tractography of brain fibers presuming a data set of high spatial resolution and high signal to noise. A less demanding technique for the visualization of discrete brain fiber bundles involves segmentation. By using a region-growing algorithm, those voxels that have a direction similar to that of the major eigenvector in neighboring voxels of a data set can be marked. It has been shown recently by Mori et al (1) that this technique can be successfully applied to data from a single slice of a mouse brain. In this study, the segmentation technique was applied with modifications to multislice DTI data from the human brain. A distinct segmentation of various brain fiber bundles could be achieved by the use of a two-step algorithm. In the first step, voxels within large fiber tracts-such as corticofugal tracts (e.g., corticospinal tract) and the optic radiation-were segmented by starting the region-growing algorithm in the corpus callosum (CC) and erasing this major structure from the data set. In the second step, remaining voxels were segmented by the same algorithm; thi...Continue Reading

References

Jan 1, 1994·Biophysical Journal·P J BasserD LeBihan
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Sep 1, 1999·Proceedings of the National Academy of Sciences of the United States of America·T E ConturoM E Raichle
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Jan 2, 2003·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·T G ReeseV J Wedeen
Jan 24, 2003·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Shu-Wei SunChen Chang

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Citations

Oct 24, 2007·NMR in Biomedicine·Sungheon KimGloria Chi-Fishman

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