RAY CASTING OF VOLUME DATA AND FUNCTIONALLY SURFACED SURFACES FOR MEDICAL APPLICATIONS WITH APPLICATION OF GRAPHIC ACCELERATORS
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 4
Abstract
Medical image three-dimensional reconstruction technology has been widely used in medical diagnosis and treatment planning. GPU based ray casting has become a valuable tool for the visualization of medical image data. While the method produces highquality images, its main drawback is the high computational load meaningful 2D image, in a process called volume rendering. As a result of the popularity and usefulness of volume data, a broad class of volume rendering techniques has emerged. Ray casting is one of these techniques. It allows for high quality volume rendering, but is a computationally expensive technique which, with current technology, lacks interactivity when visualizing large datasets, if processed on the CPU. The advent of efficient GPUs, available on almost every modern workstations, combined with their high degree of programmability opens up a wide field of new applications for the graphics cards. Ray casting is among these applications, exhibiting an intrinsic parallelism, in the form of completely independent light rays, which allows to take advantage of the massively parallel architecture of the GPU. This paper describes the implementation and analysis of a set of shaders which allow interactive volume rendering on the GPU by resorting to ray casting techniques. A method is proposed for the ray-casting of volumetric data and functionally defined surfaces using graphic accelerators. The method provides for visualization of a large number of volumes, a complex of translucent and functionally defined objects, complex translucent volumes, including intersections of volumes in constructive solid modeling. The method, including the rasterization stage, is implemented on CUDA, which allows to fully control the memory hierarchy, in particular, access to high bandwidth and low latency of distributed memory. An interactive frame rate is provided with simultaneous display of more than 100 arbitrarily overlapping volumes. The proposed method can be used for realistic visualization of medical data.
Authors and Affiliations
С. И. Вяткин, С. В. Павлов, C. A. Романюк
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