Meeting Banner
Abstract #2938

Automatic Segmentation of Diffusion MRI from the Genes Associated with Stroke Risk and Outcomes Study

Steven Mocking1, Natalia S. Rost2, Kaitlin M. Fitzpatrick2, Allison Kanakis2, Lisa Cloonan2, Jonathan Rosand2, Karen L. Furie3, Ona Wu1

1Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; 2Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; 3Department of Neurology, Brown University, Providence, RI, United States

Automated Algorithms for segmenting ischemic stroke lesions in diffusion MRI based on ADC thresholding and Naive Bayes classification are evaluated against manual outlines in independent data from stroke patients seen with 48 h of admission. Manual outlines took approximately 5-30 minutes/subject. Naive Bayes significantly outperformed ADC thresholding in terms of voxel-wise sensitivity and Dice similarity metric. Both automated algorithms took 20-40s/subject.Genome wide association studies seeking to link genetic variants with imaging phenotypes that require thousands of subjects would benefit from automated lesion segmentation techniques.

Keywords

abnormalities acute admission although analyses analyzed apparent assist association atlas automated automatic automatically available background benefit biomedical bottom brown cerebellum clinical coefficient coincident comp computed concomitant consideration considered correlated correlation correlations criteria criterion critical dataset datasets decision detect determined determining dice diffusion earlier enrolled evaluated excluding false fast findings fisher future general genes genetic genome highly improve improved include included inclusion independent investigated isotropic known lesion lesions likely linear link making manual manually maps markedly median metric middle mocking naive negatives neurology noise notes optimized outcomes outline outlines overlaid part patient patients performance population positives preparation previously programs providence radiology rapid reduced regression reliably removed reported reproducible require retrospectively risk seeking segment segmentation segmentations sensitivity sided significantly similarity slope smaller spatially specificity specified spurious stroke strokes studied studies subject subjects superior supp surprising take terms thousands threshold thresholding tissue took trained treatment trial true variants versus volume volumes whose wide windows