Interactive, in-browser cinematic volume rendering of medical images

作     者：Xu, Jiayi Thevenon, Gaspard Chabat, Timothee McCormick, Matthew Li, Forrest Birdsong, Tom Martin, Ken Lee, Yueh Aylward, Stephen 

作者机构：Kitware Inc Carrboro NC USA Kitware Inc Lyon France Univ N Carolina Dept Radiol Chapel Hill NC USA Kitware Inc 101 East Weaver StSte G4 Carrboro NC 27510 USA 

出 版 物：《COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION》 (生物力学和生物医学工程计算方法:成像和可视化方法)

年 卷 期：2023年第11卷第4期

页      面：1019-1026页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 081203[工学-计算机应用技术] 08[工学] 09[农学] 0835[工学-软件工程] 0901[农学-作物学] 0836[工学-生物工程] 090102[农学-作物遗传育种] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：NIH via NIBIB NIH via NIGMS [R01EB021396] NIBIB [R01EB014955] NCI [R01CA220681] NINDS [R42NS086295] 

主　　题：Scientific visualisation cinematic rendering visualization toolkit open source 

摘      要：The diversity and utility of cinematic volume rendering (CVR) for medical image visualisation have grown rapidly in recent years. At the same time, volume rendering on augmented and virtual reality systems is attracting greater interest with the advance of the WebXR standard. This paper introduces CVR extensions to the open-source visualisation toolkit (***) that supports WebXR. This paper also summarises two studies that were conducted to evaluate the speed and quality of various CVR techniques on a variety of medical data. This work is intended to provide the first open-source solution for CVR that can be used for in-browser rendering as well as for WebXR research and applications. This paper aims to help medical imaging researchers and developers make more informed decision when selecting CVR algorithms for their applications. Our software and this paper also provide a foundation for new research and product development at the intersection of medical imaging, web visualisation, XR and CVR.