Multiuser collaborative illustration and visualization for volumetric scientific data. (22nd November 2020)

• Record Type: Journal Article
• Authors: Liu, Richen; Wen, Xiaodong; Jiang, Meng; Yang, Guang; Zhang, Chuyu; Chen, Xiaojian
• Is Part Of: Software, practice & experience. Volume 51:Number 5(2021)
• Page Start: 1080
• Page End: 1096
• Publication Date: 2020-11-22
• Subjects: collaborative visualization -- scientific data visualization -- visualization software; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2935
• Languages: English
• ISSNs: 0038-0644

Abstract

Abstract: Multiuser can collaboratively complete complex visualization tasks that cannot be completed by a single user. Although multiuser collaboration system has made great progress, there are many challenges in the collaborative visualization of 3D volumetric scientific data due to the difficulties in multiuser collaboration, and collaborative slice analysis. This article proposes a client‐server based collaborative visualization system, which consists of a 3D volume explorer and a 2D slice analyzer, to help domain experts to fully utilize their background domain knowledge to illustrate different parts of the data. For example, the brain surgeon expert, pulmonologist, and cardiologist can visualize and analyze the different subsets of the volumetric scientific data, that is, the corresponding subvolumes of the brain, heart, lungs, and blood vessels. It also allows taking full advantage of the hardware resources, because all the computation intensive tasks especially for the whole data rendering can be allocated to the powerful server while the light‐weight tasks can be allocated to the portable clients. Besides, we design a seed point tracing algorithm based on flood fill algorithm to illustrate the slice more efficiently. We evaluate the system by collecting the feedback from domain experts and the people who are unfamiliar with data computation or visualization. The evaluation shows that the 3D volume explorer and the 2D slice analyzer are capable of supporting peer‐expert discussion and medical case teaching, respectively.