A Novel Parallel Ray-Casting Algorithm
Yan Zhang, Peng Gao, Xiao-Qing Li

TL;DR
This paper introduces a new parallel ray-casting algorithm for 3D medical image visualization, significantly reducing computation complexity by enabling parallel star operations.
Contribution
It proposes a novel parallel algorithm based on star operations, improving efficiency over traditional serial methods.
Findings
Reduced computation complexity from O(n) to O(log^n 2)
Enables parallel processing of star operations
Improves real-time surface display performance
Abstract
The Ray-Casting algorithm is an important method for fast real-time surface display from 3D medical images. Based on the Ray-Casting algorithm, a novel parallel Ray-Casting algorithm is proposed in this paper. A novel operation is introduced and defined as a star operation, and star operations can be computed in parallel in the proposed algorithm compared with the serial chain of star operations in the Ray-Casting algorithm. The computation complexity of the proposed algorithm is reduced from to .
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