Shmuel Aharon

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A new approach to interactive segmentation based on random walks was recently introduced that shows promise for allowing physicians more flexibility to segment arbitrary objects in an image. This report has two goals: To introduce a novel computational method for applying the random walker algorithm in 2D/3D using the Graphics Processing Unit (GPU) and to(More)
UNLABELLED This study reports quantitative measurements of the accuracy of two popular voxel-based registration algorithms--Woods' automated image registration algorithm and mutual information correlation--and compares these with conventional surface matching (SM) registration. METHODS The registration algorithms were compared (15 different matches each)(More)
T HE SYNERGISTIC integration of comprehensive and generic tools in software systems for advanced vis~latization, .processing, and quantitative analysis of biomedical images has allowed surgeons, physicians, and basic scientists to explore large multidimensional biomedical image volumes efficiently and productively. The "toolbox" approach to biomedical(More)
Due to the immense computational power of today’s graphics processors (GPU), general purpose computation on GPUs has become a vivid research area. The performance of algorithms running on GPUs highly depends on how well they can be arranged to fit and exploit the processors single instruction multiple data (SIMD) architecture. Many tasks that are considered(More)
This paper describes a collision detection method for polygonal deformable objects using OpenGL, which is suitable for surgery simulations. The method relies on the OpenGL selection mode which can be used to find out which objects or geometrical primitives (such as polygons) in the scene are drawn inside a specified region, called the viewing volume. We(More)
Recent advances in CT technology have made possible the acquisition of high resolution images of the heart in which important anatomical features such as the coronary vessels are visible. The state of the art in MR Imaging techniques, on the other hand, typically provides lower resolution but can facilitate the differentiation of viable (healthy) cardiac(More)
Virtual surgery and endoscopy use computer-generated volume renderings and/or models created from 3D medical image scans (CT or MRI) of individual patients. The patient’s anatomy, including organs and other internal structures of interest, are then traversed in a virtual “fly-through,” giving nearly the same visual impression as if the corresponding real(More)
Virtual reality environments provide highly interactive, natural control of the visualization process, significantly enhancing the scientific value of the data produced by medical imaging systems. Due to the computational and real time display update requirements of virtual reality interjiaces, the complexity of organ and tissue sulfaces which can be(More)
Virtual reality environments provide highly interactive, natural control of the visualization process, significantly enhancing the scientific value of the data produced by medical imaging systems. Due to the computational and real time display update requirements of virtual reality interfaces, however, the complexity of organ and tissue surfaces which can(More)
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