Post-Traumatic Cerebral Microhemorrhages and their Effects Upon White Matter Connectivity in the Aging Human Brain

• Published in: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019-07, Vol.2019, p.198-203
• Main Authors: Fan, Di, Chaudhari, Nikhil N., Rostowsky, Kenneth A., Calvillo, Maria, Lee, Sean K., Chowdhury, Nahian F., Zhang, Fan, O'Donnell, Lauren J., Irimia, Andrei
• Format: Article
• Language: English
• Subjects: Biomedical imaging; Image segmentation; Magnetic resonance imaging; Prototypes; Sensitivity; Streaming media
• ISSN: 1558-4615; 2694-0604
• DOI: 10.1109/EMBC.2019.8857921

Cerebral microbleeds (CMBs), a common manifestation of mild traumatic brain injury (mTBI), have been sporadically implicated in the neurocognitive deficits of mTBI victims but their clinical significance has not been established adequately. Here we investigate the longitudinal effects of post-mTBI CMBs upon the fractional anisotropy (FA) of white matter (WM) in 21 older mTBI patients across the first ~6 months post-injury. CMBs were segmented automatically from susceptibility-weighted imaging (SWI) by leveraging the intensity gradient properties of SWI to identify CMB-related hypointensities using gradient-based edge detection. A detailed diffusion magnetic resonance imaging (dMRI) atlas of WM was used to segment and cluster tractography streamlines whose prototypes were then identified. The correlation coefficient was calculated between (A) FA values at vertices along streamline prototypes and (B) topological (along-streamline) distances between these vertices and the nearest CMB. Across subjects, the CMB identification approach achieved a sensitivity of 97.1% ± 4.7% and a precision of 72.4% ± 11.0% across subjects. The correlation coefficient was found to be negative and, additionally, statistically significant for 12.3% ± 3.5% of WM clusters (p