The Boston Marathon bombing: after-action review of the Brigham and Women's Hospital emergency radiology response.

Purpose: To analyze imaging utilization and emergency radiology process turnaround times in response to the April 15, 2013, Boston Marathon bombing in order to identify opportunities for improvement in the Brigham and Women's Hospital (BWH) emergency operations plan.

Materials And Methods: Institutional review board approval was obtained with waivers of informed consent. Patient demographics, injuries, and outcomes were gathered, along with measures of emergency department (ED) imaging utilization and turnaround times, which were compared with operations from the preceding year by using the Wilcoxon rank sum test.

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI.

Magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. In practice, lesion load is often quantified by either manual or semi-automated segmentation of MRI, which is time-consuming, costly, and associated with large inter- and intra-observer variability. We propose OASIS is Automated Statistical Inference for Segmentation (OASIS), an automated statistical method for segmenting MS lesions in MRI studies.