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Abstract #2448

White Matter Hyperintensities Segmentation and Stereological Bias Correction On Clinical MRIs

Chau Q. Vu1 and John C. Wood2

1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Division of Cardiology and Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

White matter hyperintensities are lesions in the brain that exhibit high signal intensity on T2-weighted FLAIR images. In this study, we designed a seed-based segmentation method of these lesions from T2-weighted images of 1.3mm axial resolution, utilizing the local gradient field on a breadth-first search scheme as well as level thresholding and smoothing for false-positive reduction. Additionally, since clinical MRIs are at lower resolution of 1x1x5mm, we modeled the relationship between lesion cross-sectional radius and its true volume with a cubic polynomial fit to correct for stereological bias.

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