Relevance-based visualization to improve surgeon perception

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8498 LNCS, Issue , 2014, Pages 178-185

  Pauly, Olivier ^a   Diotte, Benoît ^a   Habert, Séverine ^a   Weidert, Simon ^b   Euler, Ekkehard ^b   Fallavollita, Pascal ^a   Navab, Nassir ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Chirurgische Klinik und Poliklinik Innenstadt   (Germany)

Author keywords

machine learning; medical augmented reality; multimodal image fusion; operating room; visualization

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUGMENTED REALITY; DECISION TREES; DEPTH PERCEPTION; FLOW VISUALIZATION; IMAGE FUSION; LEARNING SYSTEMS; OPERATING ROOMS; SURGERY; SURGICAL EQUIPMENT; VISUAL COMMUNICATION;

BACKGROUND EXTRACTION; COMPUTER-AIDED; DEPTH SENSORS; MEDICAL AUGMENTED REALITIES; MULTIMODAL IMAGE FUSIONS; RANDOM FORESTS; SURGICAL INSTRUMENT; VISUAL FEEDBACK;

VISUALIZATION;

EID: 84958540974     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-07521-1_19     Document Type: Conference Paper

References (10)

1. Goldstein, B. E.: Sensation and perception. Cengage Learning (2013)
2. Padoy, N., Mateus, D., Weinland, D., Berger, M. O., Navab, N.: Workflow monitoring based on 3d motion features. In: IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), pp. 585-592. IEEE (2009)
3. Kersten-Oertel, M., Jannin, P., Collins, D. L.: Dvv: a taxonomy for mixed reality visualization in image guided surgery. IEEE Transactions on Visualization and Computer Graphics 18, 332-352 (2012)
4. Nicolau, S., Lee, P., Wu, H., Huang, M., Lukang, R., Soler, L., Marescaux, J.: Fusion of c-arm x-ray image on video view to reduce radiation exposure and improve orthopedic surgery planning: first in-vivo evaluation. In: 15th Annual Conference of the International Society for Computer Aided Surgery (2011)
5. Navab, N., Heining, S. M., Traub, J.: Camera augmented mobile c-arm (camc): Calibration, accuracy study, and clinical applications. IEEE Transactions on Medical Imaging 29, 1412-1423 (2010)
6. Pauly, O., Katouzian, A., Eslami, A., Fallavollita, P., Navab, N.: Supervised classification for customized intraoperative augmented reality visualization. In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 311-312 (2012)
7. Erat, O., Pauly, O., Weidert, S., Thaller, P., Euler, E., Mutschler, W., Navab, N., Fallavollita, P.: How a surgeon becomes superman by visualization of intelligently fused multi-modalities. In: SPIE Medical Imaging, pp. 86710L-86710L (2013)
8. Elgammal, A.: Background Subtraction: Theory and Practice. Springer (2013)
9. Criminisi, A., Shotton, J.: Decision Forests for Computer Vision and Medical Image Analysis. Springer (2013)
10. Rother, C., Kolmogorov, V., Blake, A.: Grabcut: Interactive foreground extraction using iterated graph cuts. ACM Transactions on Graphics (TOG) 23, 309-314 (2004)