作者: Philip A. Glemser , Klaus Engel , David Simons , Johann Steffens , Heinz-Peter Schlemmer
DOI: 10.1016/J.WNEU.2018.02.174
关键词: Impression 、 Computer vision 、 Surface reconstruction 、 Computer graphics 、 Cornell box 、 Rendering (computer graphics) 、 Medicine 、 Visualization 、 Artificial intelligence 、 3D reconstruction 、 Volume rendering
摘要: Objective Classical single-colored or multicolored 3-dimensional (3D) visualization of sectional images lacked in being realistic and revealed limited anatomical discrimination. Recently, a new technique called cinematic volume rendering for 3D reconstruction computed tomography has been developed. The aim this study was to analyze algorithm from technical perspective investigate potential benefits neurosurgical applications. Methods A standard test computer graphics Cornell Box adapted applied reproducibility light effects opposed classic methods. Simulation distinct camera such as variable apertures, exposition time, optics, surface refinements are presented human skull, respectively. Postprocessing capabilities allow immediate clinical use. Results This volume-rendering generates cadaver-like reconstructions. By considering complex interactions between scanned object dynamic patterns, illumination can be achieved. spinal tumor case intracranial carotid artery aneurysm presented, comparing all available techniques. Cinematic results greater spatial discrimination neighboring structures. Conclusions description focuses on the relevance technique. Considering improved image impression viewers' perception, it seems likely that will gain wide acceptance routine.