28 January 2015 A T1 and DTI fused 3D corpus callosum analysis in pre- vs. post-season contact sports players
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Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92870O (2015) https://doi.org/10.1117/12.2072600
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia
Abstract
Sports related traumatic brain injury (TBI) is a worldwide public health issue, and damage to the corpus callosum (CC) has been considered as an important indicator of TBI. However, contact sports players suffer repeated hits to the head during the course of a season even in the absence of diagnosed concussion, and less is known about their effect on callosal anatomy. In addition, T1-weighted and diffusion tensor brain magnetic resonance images (DTI) have been analyzed separately, but a joint analysis of both types of data may increase statistical power and give a more complete understanding of anatomical correlates of subclinical concussions in these athletes. Here, for the first time, we fuse T1 surface-based morphometry and a new DTI analysis on 3D surface representations of the CCs into a single statistical analysis on these subjects. Our new combined method successfully increases detection power in detecting differences between pre- vs. post-season contact sports players. Alterations are found in the ventral genu, isthmus, and splenium of CC. Our findings may inform future health assessments in contact sports players. The new method here is also the first truly multimodal diffusion and T1-weighted analysis of the CC, and may be useful to detect anatomical changes in the corpus callosum in other multimodal datasets.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Lao, Meng Law, Jie Shi, Niharika Gajawelli, Lauren Haas, Yalin Wang, Natasha Leporé, "A T1 and DTI fused 3D corpus callosum analysis in pre- vs. post-season contact sports players", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870O (28 January 2015); doi: 10.1117/12.2072600; https://doi.org/10.1117/12.2072600
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