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The interpretation of medical images benefits from anatomical and physiological priors to optimize computer-aided diagnosis applications. Diagnosis also relies on the comprehensive analysis of multiple organs and quantitative measures of soft tissue. An automated method optimized for medical image data is presented for the simultaneous segmentation of four(More)
The paper presents the automated computation of hepatic tumor burden from abdominal computed tomography (CT) images of diseased populations with images with inconsistent enhancement. The automated segmentation of livers is addressed first. A novel 3-D affine invariant shape parameterization is employed to compare local shape across organs. By generating a(More)
Pulmonary hypertension is a common cause of death among patients with sickle cell disease. This retrospective study investigates the use of pulmonary vein analysis to diagnose pulmonary hypertension non-invasively with CT-Angiography images. Ten images from patients with pulmonary hypertension were matched with controls. An adaptive fast marching approach(More)
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