Performance of an Automated Segmentation Algorithm for MR Renography

Keywords

abdomen abdominal ability acceptable accuracy achieved acquisitions adjusting agents artifacts assessed atrophic atrophy automated city clinical collaborated collecting column comparable compartments compound connectivity constrained contrast coronal corrects cuts cystic cysts dataset decade depiction detail detection detects developed diagnose disparity dynamic edge enhanced error expand expedited experienced exterior external filtered filtration flow fold freely gadolinium generate gill grant graph green growing henry human improve improvement independent individual individuals insufficiency interactive interior internal intra kidney kidneys lake liver manual manually masks measured measures measuring medicine middle modeling motion neighbor note observers paintbrush partial past patients pelvis performance physiology placing plasma posterior potential precision prerequisite presence processing prominent propagates proposed providing radiology reached remarkable renal represent resorption respiratory restricted rows salt scheme school secretion seed segment segmentation segmenting selected semi separate several spleen sponsors strength strong subject suffer suitable surfaces system task tissue tool tools transit trend tubular types useful user utility vascular volumes