... (Gadovist; Bayer Pharmaceutical Co., Berlin, Germany) was administered at a dose of 0.1 mmol/kg body weight as the intravenous contrast agent. These images consisted of 31 axial 5-mm thick slices with an in-plane resolution of 0.625 × 0.625 mm (matrix size 320 × 320), which were semi-automatically segmented...

... dissection model fabrication. Our framework uses a novel deep-learning-based segmentation for negative mold manufacturing. Deep-learning architectures were trained on a dataset of 15 unique computed tomography scans of dissection subjects and were blind-tested on 4 sets of scans, which were targeted...

...Christopher B. Washington; Judy Shum; Satish C. Muluk; Ender A. Finol The purpose of this study is to evaluate the potential correlation between peak wall stress (PWS) and abdominal aortic aneurysm (AAA) morphology and how it relates to aneurysm rupture potential. Using in-house segmentation...

... determined from the end ROM data. The scan data were processed using software that allowed the bones to be segmented with the foot in the neutral position and the bones in the other seven positions to be registered to their base positions with minimal user intervention. Bone to bone motion was quantified...

...Yangqiu Hu; William R. Ledoux; Michael Fassbind; Eric S. Rohr; Bruce J. Sangeorzan; David Haynor We report an image segmentation and registration method for studying joint morphology and kinematics from in vivo magnetic resonance imaging (MRI) scans and its application to the analysis of foot...

... of the geometric parameters, we believe it provides the foundation necessary for future efforts in that direction. aortic pathology computed tomography image-based modeling curvature finite element meshing segmentation reconstruction shape biomechanics Recent studies ( 7 8 ) show that peak wall...