Precomputed low-frequency lighting in cinematic volume rendering

• Published in: PloS one Vol. 19; no. 10; p. e0312339
• Main Authors: Yuan, Yuliang, Yang, Jinzhu, Sun, Qi, Huang, Yan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 21.10.2024
• Subjects: Algorithms; Analysis; Cameras; Deep learning; Diagnostic imaging; Efficiency; Evaluation; Freezing; Humans; Illumination; Image enhancement; Image processing; Image quality; Imaging, Three-Dimensional - methods; Light; Light sources; Lighting; Lighting - methods; Medical diagnosis; Medical equipment; Medical imaging; Medical imaging equipment; Medical materials; Medicine and Health Sciences; People and Places; Physical Sciences; Physics; Ray tracing; Real time; Real variables; Rendering; Research and Analysis Methods; Tomography; Transfer functions; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0312339

Cinematic Rendering (CR) employs physical models such as ray tracing and global illumination to simulate real-world light phenomena, producing high-quality images with rich details. In the medical field, CR can significantly aid doctors in accurate diagnosis and preoperative planning. However, doctors require efficient real-time rendering when using CR, which presents a challenge due to the substantial computing resources demanded by CR’s ray tracing and global illumination models. Precomputed lighting can enhance the efficiency of real-time rendering by freezing certain scene variables. Typically, precomputed methods freeze geometry and materials. However, since the physical rendering of medical images relies on volume data rendering of transfer functions, the CR algorithm cannot utilize precomputed methods directly. To improve the rendering efficiency of the CR algorithm, we propose a precomputed low-frequency lighting method. By simulating the lighting pattern of shadowless surgical lamps, we adopt a spherical distribution of multiple light sources, with each source capable of illuminating the entire volume of data. Under the influence of these large-area multi-light sources, the precomputed lighting adheres to physical principles, resulting in shadow-free and uniformly distributed illumination. We integrated this precomputed method into the ray-casting algorithm, creating an accelerated CR algorithm that achieves more than twice the rendering efficiency of traditional CR rendering.