CvhSlicer 2.0: Immersive and Interactive Visualization of Chinese Visible Human Data in XR Environments
Yue Qiu, Yuqi Tong, Yu Zhang, Qixuan Liu, Jialun Pei, Shi Qiu, Pheng-Ann Heng, Chi-Wing Fu
TL;DR
The paper addresses the challenge of visualizing high-resolution CVH data in immersive XR by introducing CvhSlicer 2.0, which runs entirely on a commercial XR headset. It combines 2D plane-slicer and 3D box-slicer visualization with trilinear interpolation, a region-focused shader, and multimodal interaction (gestures and voice) to enable immersive exploration. A data-processing pipeline compresses the CVH dataset from $35.7\ ext{GB}$ to $3.0\ ext{GB}$, enabling on-device loading times of about $10\ ext{s}$ and maintaining interactive frame rates, while a pilot study reports SUS improvements to $91.0$ (SD $6.14$) versus $70.0$ (SD $22.89$). The results suggest that portable, immersive anatomy visualization can enhance medical education, surgical training, and anatomical research, with potential for collaborative educational scenarios in the future.
Abstract
The study of human anatomy through advanced visualization techniques is crucial for medical research and education. In this work, we introduce CvhSlicer 2.0, an innovative XR system designed for immersive and interactive visualization of the Chinese Visible Human (CVH) dataset. Particularly, our proposed system operates entirely on a commercial XR headset, offering a range of visualization and interaction tools for dynamic 2D and 3D data exploration. By conducting comprehensive evaluations, our CvhSlicer 2.0 demonstrates strong capabilities in visualizing anatomical data, enhancing user engagement and improving educational effectiveness. A demo video is available at https://youtu.be/CfR72S_0N-4