A fully automated method for liver segmentation in contrast enhanced abdominal MRI scans is presented. Liver shape and volume are obtained utilizing a context based approach. Compared to manual segmentation, the obtained liver volumes differ less than 10 %. The mean sensitivity of 0.92 is comparable to other published liver segmentation methods.
RATIONALE AND OBJECTIVES To compare the diagnostic accuracy and image quality of 2 reconstruction algorithms (multisegment and halfscan) for computed tomography (CT) coronary angiography in patients without beta-blocker medication. MATERIALS AND METHODS Thirty-four patients with 42 significant coronary stenoses in 136 main coronary branches were examined… (More)
Recent developments in MRI contrast agents give new perspectives in radiological diagnosis and therapy planning, but require specific image analysis methods. By employment of an academic research grid, we are currently validating and optimizing a recently developed fully automatic method for liver segmentation in Gd-EOB enhanced MRI. The grid enables… (More)
BACKGROUND Noninvasive angiography using multislice computed tomography (MSCT) is superior to magnetic resonance imaging (MRI) for detection of coronary stenoses. We compared patient acceptance of these two noninvasive diagnostic tests and invasive conventional coronary angiography (Angio). METHODS AND FINDINGS A total of 111 consecutive patients with… (More)