NCCVApr 23, 2019

Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractography

arXiv:1904.11136v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a domain-specific challenge in medical imaging for spinal cord injury surgery, but it appears incremental as it applies an existing FOD method to CST reconstruction.

The paper tackled the problem of accurately localizing and reconstructing the Corticospinal Tract (CST) for spinal cord injury treatment by using fiber orientation distributions (FODs) tractography, and the results demonstrated that this method shows more and correct anatomical CST fiber bundles compared to tensor-based approaches.

The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it can innervate the voluntary movement of skeletal muscle through spinal interneurons (the 4th layer of the Rexed gray board layers), and anterior horn motorneurons (which control trunk and proximal limb muscles). Spinal cord injury (SCI) is a highly disabling disease often caused by traffic accidents. The recovery of CST and the functional reconstruction of spinal anterior horn motor neurons play an essential role in the treatment of SCI. However, the localization and reconstruction of CST are still challenging issues; the accuracy of the geometric reconstruction can directly affect the results of the surgery. The main contribution of this paper is the reconstruction of the CST based on the fiber orientation distributions (FODs) tractography. Differing from tensor-based tractography in which the primary direction is a determined orientation, the direction of FODs tractography is determined by the probability. The spherical harmonics (SPHARM) can be used to approximate the efficiency of FODs tractography. We manually delineate the three ROIs (the posterior limb of the internal capsule, the cerebral peduncle, and the anterior pontine area) by the ITK-SNAP software, and use the pipeline software to reconstruct both the left and right sides of the CST fibers. Our results demonstrate that FOD-based tractography can show more and correct anatomical CST fiber bundles.

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