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Posterior cruciate ligament (PCL) is important for the knee stability. The problem seems to lie in the fact that it is difficult to segment the PCL from a magnetic resonance (MR) image. To reduce massive measurement time and subjective judgment error, this paper proposes a segmentation method of the PCL in knee joint from MR image and computed tomography (CT) image using anatomical information. In...
The accurate segmentation of the bone and articular cartilages from magnetic resonance (MR) images of the hip is important for clinical studies and drug trials into conditions like osteoarthritis. In current studies, segmentations are obtained using time-consuming manual or semi-automatic algorithms which have high inter- and intra-observer variabilities. This paper presents an important step towards...
Statistical shape and intensity modelling have been subject to an increasing interest within the past decade. However, construction of such models requires large number of segmented examples. Accurate and automatic segmentation techniques that do not require any explicit prior model are therefore of high interest. We propose a fully-automatic method for segmenting the femur in 3D Computed Tomography...
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