Fig. 1.

Processing pipeline. Images in DICOM (Digital Imaging and Communications in Medicine) format were gantry tilt corrected if necessary and converted to NIfTI (Neuroimaging Informatics Technology Initiative) format using dcm2nii. After NIfTI conversion, the brain extraction tool (BET) was applied to the image using a previously published protocol. The image was registered to a brain CT template using a rigid-body transformation and was interpolated to template resolution. We estimated imaging predictors and used these predictors to estimate the probability of ICH in a prediction model. The probability of ICH was thresholded, connected component below 100 voxels (0.1 mL) were discarded, and the image was transformed back into original space of the patient. The ICH volume and the Dice Similarity Index, an overlap measure, were calculated compared to the true estimate from the manual segmentation.