Clinical implementation of cinematic rendering

Brookmeyer, Claire; Chu, Linda C.; Rowe, Steven P.; Fishman, Elliot K.

doi:10.1067/j.cpradiol.2024.01.010

Cited by 2 publications

(1 citation statement)

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“…These algorithms can reproduce effects such as indirect lighting, light reflection/refraction from curved surfaces (caustics), blurry reflections, and soft shadows, dramatically enhancing the realism of generated 3D volumes 65,[71][72][73][74][75] . Referred to as cinematic or photorealistic rendering 74,76 , these DVR techniques-largely implemented through commercial platforms usually bundled with expensive imaging hardware-are gaining momentum in the human medical field to support diagnostics, surgery, and anatomy teaching 73,[77][78][79][80][81][82][83][84] , while revitalizing the connection between science and impactful anatomical illustrations. In contrast to this dynamic landscape, the potential impact of cinematic rendering remains largely unexplored across most biological fields, yet…”

Section: Introductionmentioning

confidence: 99%

The SmARTR pipeline: a modular workflow for the cinematic rendering of 3D scientific imaging data

Macrì,

Di-Poï

2024

Preprint

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SUMMARYAdvancements in non-invasive surface and internal imaging techniques, along with computational methods, have revolutionized 3D visualization of organismal morphology. These breakthroughs not only enhance research and medical anatomical analysis, but also facilitate the preservation and digital archiving of scientific specimens. We introduce the SmARTR pipeline (Small Animal Realistic Three-dimensional Rendering), a comprehensive workflow integrating wet lab procedures, 3D data acquisition, and processing to produce photorealistic 3D scientific data through cinematic rendering. This versatile pipeline supports multi-scale visualizations, from tissue-level to whole-organism details across diverse living organisms and is adaptable to various imaging sources and platforms. Its modular design and customizable rendering scenarios, provided by detailed SmARTR networks in a free software environment, make it a powerful tool for 3D data analysis. Accessible to a broad audience, SmARTR serves as a valuable resource not only for multiple fields of research in life sciences but also for education, diagnosis, outreach, and artistic endeavors.

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