TY - GEN
T1 - Adaptive Volumetric Anatomy Visualization in VR with Tangible Control
AU - Kleinbeck, Constantin
AU - Smietana, Max
AU - Lewis, Noah
AU - Teufel, Timo
AU - Kreimeier, Julian
AU - Heinzl, Christoph
AU - Steiner, Jürgen
AU - Anthes, Christoph
AU - Roth, Daniel
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - High-quality visualization of medical image data is essential for preoperative planning of complex and critical surgical procedures. Controllable 3D volume rendering in virtual reality (VR) is particularly useful to display depth and spatial relationships in volumetric data, and thus to identify specific anatomical landmarks and structural dependencies. However, intuitive control over the medical volume itself, the selection of sectional planes, transfer functions or the rotation or zooming has yet to be explored in depth. In this work, we demonstrate a real-time VR direct volume rendering application for medical images with tangible and intuitive interaction. Our system is real-time capable by the use of efficient volume rendering and foveated rendering techniques. We evaluated the system regarding its performance and gained first insight into the usefulness of a freely grabbable section slice in a preliminary user study.
AB - High-quality visualization of medical image data is essential for preoperative planning of complex and critical surgical procedures. Controllable 3D volume rendering in virtual reality (VR) is particularly useful to display depth and spatial relationships in volumetric data, and thus to identify specific anatomical landmarks and structural dependencies. However, intuitive control over the medical volume itself, the selection of sectional planes, transfer functions or the rotation or zooming has yet to be explored in depth. In this work, we demonstrate a real-time VR direct volume rendering application for medical images with tangible and intuitive interaction. Our system is real-time capable by the use of efficient volume rendering and foveated rendering techniques. We evaluated the system regarding its performance and gained first insight into the usefulness of a freely grabbable section slice in a preliminary user study.
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction paradigms
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85180361935&partnerID=8YFLogxK
U2 - 10.1109/ISMAR-Adjunct60411.2023.00131
DO - 10.1109/ISMAR-Adjunct60411.2023.00131
M3 - Conference contribution
AN - SCOPUS:85180361935
T3 - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
SP - 613
EP - 614
BT - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
A2 - Bruder, Gerd
A2 - Olivier, Anne-Helene
A2 - Cunningham, Andrew
A2 - Peng, Evan Yifan
A2 - Grubert, Jens
A2 - Williams, Ian
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
Y2 - 16 October 2023 through 20 October 2023
ER -