Interactive depth of focus for improved depth perception
Kalia M, Schulte zu Berge C, Roodaki H, Chakraborty C, Navab N (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: Springer Verlag
Book Volume: 9805 LNCS
Pages Range: 221-232
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Bern, CHE
ISBN: 9783319437743
DOI: 10.1007/978-3-319-43775-0_20
Abstract
The need to look into human body for better diagnosis, improved surgical planning and minimally invasive surgery led to breakthroughs in medical imaging. But, intra-operatively a surgeon needs to look at multi-modal imaging data on multiple displays and to fuse the multi-modal data in the context of the patient. This adds extra mental effort for the surgeon in an already high cognitive load surgery. The obvious solution to augment medical object in the context of patient suffers from inaccurate depth perception. In the past, some visualizations have addressed the issue of wrong depth perception, but not without interfering with the natural intuitive view of the surgeon. Therefore, in the current work an interactive depth of focus (DoF) blur method for AR is proposed. It mimics the naturally present DoF blur effect in a microscope. DoF blur forces the cue of accommodation and convergence to come into effect and holds potential to give near metric accuracy; its quality decreases with distance. This makes it suitable for microscopic neurosurgical applications with smaller working depth ranges.
Involved external institutions
Germany (DE)How to cite
APA:
Kalia, M., Schulte zu Berge, C., Roodaki, H., Chakraborty, C., & Navab, N. (2016). Interactive depth of focus for improved depth perception. In Hongen Liao, Guoyan Zheng, Su-Lin Lee, Philippe Cattin, Pierre Jannin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 221-232). Bern, CHE: Springer Verlag.
MLA:
Kalia, Megha, et al. "Interactive depth of focus for improved depth perception." Proceedings of the 7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, Bern, CHE Ed. Hongen Liao, Guoyan Zheng, Su-Lin Lee, Philippe Cattin, Pierre Jannin, Springer Verlag, 2016. 221-232.
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