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In this paper, we present a segmentation scheme that automatically and accurately segments all the cartilages from magnetic resonance (MR) images of nonpathological knees. Our scheme involves the automatic segmentation of the bones using a three-dimensional active shape model, the extraction of the expected bone-cartilage interface (BCI), and cartilage segmentation from the BCI using a deformable...
Large volume asymmetries of the quadratus lumborum (QL) muscle, determined from time- and expertise-intensive manual segmentation of axial magnetic resonance (MR) images, have been associated with an increased risk of developing pars interarticularis stress lesions in the lumbar spine of cricket fast bowlers. The purpose of the present study was to develop an atlas-based automated segmentation procedure...
We present and validate a hybrid segmentation scheme based around 3D active shape models, which is used to automatically segment the three bones in the knee joint. This scheme is automatically initialised using an affine registration to an atlas. The accuracy and robustness of the approach was experimentally validated using an MR database of 20 fat suppressed spoiled gradient recall images. A median...
A novel algorithm for performing registration of dynamic contrast-enhanced (DCE) MRI data of the breast is presented. It is based on an algorithm known as iterated dynamic programming originally devised to solve the stereo matching problem. Using artificially distorted DCE-MRI breast images it is shown that the proposed algorithm is able to correct for movement and distortions over a larger range...
This paper describes an electrical model of the ventricles incorporating real geometry and motion. Cardiac geometry and motion is obtained from segmentations of multiple-slice MRI time sequences. A static heart model developed previously is deformed to match the observed geometry using a novel shape registration algorithm. The resulting electrocardiograms and body surface potential maps are compared...
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