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Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007; 10th International C Nicholas Ayache,Sébastien Ourselin,Anthony M

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Thoracoscopic Surgical Navigation System for Cancer Localization in Collapsed Lung Based on Estimatilaser pointer. Secondly, we establish a rigid registration protocol which minimizes the influence of the deformation in different patient’s positions by analyzing MR images of volunteers. These techniques were evaluated by . and clinical experiments.
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Rapid Voxel Classification Methodology for Interactive 3D Medical Image Visualizationechnique is about 100 times faster than the unaccelerated pre-integrated classification approach, while achieving the similar or even superior quality volume rendered image. In addition, we propose an objective measure of artifacts in rendered medical image based on high-frequency spatial image content.
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Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgeryrized in the pre-operative images and their equivalent structures manually extracted from 3D US data. On average, the mitral valve annulus was extracted with a 3.1 mm error across all cardiac phases. In addition, we also propose a method for registering the pre-operative models into the intra-operative virtual environment.
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Longitudinal Cortical Registration for Developing Neonatesloping brain in neonates. The algorithm has been tested on 5 neonates. Each infant has been scanned at three different time points. Quantitative results are obtained by propagating sulci across multiple gestational ages and computing the overlap ratios with manually established ground-truth.
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Design and Preliminary Accuracy Studies of an MRI-Guided Transrectal Prostate Intervention Systemems using passive and active tracking methods. Moreover, the portable design of the system using only standard MRI image sequences and minimal custom scanner interfacing allows the system to be easily used on different MRI scanners.
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Probabilistic Fiber Tracking Using Particle Filteringy. Fast and efficient sampling is realised using the von Mises-Fisher distribution on unit spheres. Given a seed point, the method is able to rapidly locate the global optimal fiber and also provide a connectivity map. The proposed method is demonstrated on a brain dataset.
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