北京生物醫(yī)學工程

基于CUDA的快速光線投射法

Accelerated Ray Casting Algorithm Based on CUDA

作者：董現(xiàn)玲江貴平張煜

單位：南方醫(yī)科大學生物醫(yī)學工程學院（廣州510515）

分類號：

出版年·卷·期（頁碼）：2010·29·2（125-129）

摘要：

NVIDIA的GeForce 8系列顯卡上的統(tǒng)一設備架構（common unified device architecture，CUDA）不需要映射到圖形API便可在GPU上進行計算的分配和管理，因此較適合于大數(shù)據(jù)量的醫(yī)學圖像可視化領域。本文分析了CUDA的設計思想和編程模式，針對其特點對傳統(tǒng)基于硬件的光線投射法進行改進，將計算耗時的繪制部分改造成單指令多數(shù)據(jù)模式（single instruction multiple data，SIMD），并分別運用紋理存儲器和共享存儲器對算法進行優(yōu)化。實驗結果表明,該方法能夠快速、高效地生成可視化圖像。

The common unified device architecture （CUDA） on NVIDZA′S GeForce 8 series graphics cards is a fundamentally new programming approach making use of the unified shader design of most current graphics processing units （GPU），therefore it is more suitable for large data visualization of medical images. In this paper we analyzed the design ideas and programming models of CUDA，and then the new technology was applied to volume ray casting algorithm in the field of medical image processing. The normal GPUbased ray casting algorithm was improved and rendering process was redesigned into single instruction multiple data （SIMD） mode. Finally suggestions were presented on how to optimize the algorithm by means of texture memory and shared memory. The experiment results showed that it could achieve high quality image and interactive frame rates by using CUDA.

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