Litcius/Paper detail

Interactive, in-browser cinematic volume rendering of medical images

Jiayi Xu, Gaspard Thévenon, Timothee Chabat, Matthew McCormick, Forrest Li, Tom Birdsong, Ken Martin, Yueh Z. Lee, Stephen Aylward

2022Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization18 citationsDOIOpen Access PDF

Abstract

The diversity and utility of cinematic volume rendering (CVR) for medical image visualization 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 visualization toolkit (vtk.js) that supports WebXR. This paper also summarizes 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 visualization, XR, and CVR.

Topics & Concepts

Computer scienceVisualizationRendering (computer graphics)Volume renderingSoftwareComputer graphics (images)3D renderingVirtual realityMedical imagingMultimediaWorld Wide WebHuman–computer interactionArtificial intelligenceOperating systemComputer Graphics and Visualization TechniquesMedical Image Segmentation TechniquesAdvanced Vision and Imaging