@inproceedings{SiqueiraRodriguesRiehmZachowetal., author = {Siqueira Rodrigues, Lucas and Riehm, Felix and Zachow, Stefan and Israel, Johann Habakuk}, title = {VoxSculpt: An Open-Source Voxel Library for Tomographic Volume Sculpting in Virtual Reality}, series = {2023 9th International Conference on Virtual Reality (ICVR), Xianyang, China, 2023}, booktitle = {2023 9th International Conference on Virtual Reality (ICVR), Xianyang, China, 2023}, doi = {10.1109/ICVR57957.2023.10169420}, pages = {515 -- 523}, abstract = {Manual processing of tomographic data volumes, such as interactive image segmentation in medicine or paleontology, is considered a time-consuming and cumbersome endeavor. Immersive volume sculpting stands as a potential solution to improve its efficiency and intuitiveness. However, current open-source software solutions do not yield the required performance and functionalities. We address this issue by contributing a novel open-source game engine voxel library that supports real-time immersive volume sculpting. Our design leverages GPU instancing, parallel computing, and a chunk-based data structure to optimize collision detection and rendering. We have implemented features that enable fast voxel interaction and improve precision. Our benchmark evaluation indicates that our implementation offers a significant improvement over the state-of-the-art and can render and modify millions of visible voxels while maintaining stable performance for real-time interaction in virtual reality.}, language = {en} }