Abstract
plays a significant role in medical imaging and engineering applications. To obtain an improved three-dimensional shape perception of , realistic has been considerably studied in recent years. However, the calculation overhead associated with interactive is unusually high, and the solvability of the problem is adversely affected when the data size and algorithm complexity are increased. In this study, a scalable and GPU-based (MSPP) algorithm is proposed which can quickly generate global volume shadow and achieve a translucent effect based on the transfer function, so as to improve perception of the shape and depth of . In our real-world data tests, MSPP significantly outperforms some complex volume shadow algorithms without losing the illumination effects, for example, half-angle slicing. Furthermore, the MSPP can be easily integrated into the parallel rendering frameworks based on sort-first or sort-last algorithms to accelerate . In addition, its scalable slice-based framework can be combined with several traditional frameworks.
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