Abstract
A three-dimensional (3D) image overlay navigation system has been developed for open MRI guided surgery. The images are created by employing animated autostereoscopic image of integral videography (IV), which provides geometrically accurate 3D images and reproduce motion parallax without using any supplementary glasses or tracking devices. The spatially projected 3D images are superimposed onto the patient and are viewed via a half-slivered mirror. We developed a spatial image registration method for intraoperative IV image-guided diagnosis and therapy. Two sets of preliminary experiments showed that the total system error was 0.90 ± 0.21mm in patient-to-image registration and the procedure time of guiding a needle toward a target was shortened to 24%. The augmented reality of the image overlay system is possible to increase the surgical instrument placement accuracy and also to reduce the procedure time as the result of intuitive 3D viewing.
Keywords
- Augmented Reality
- Single Instruction Multiple Data
- Target Registration Error
- Surgical Navigation
- Image Overlay
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Schneider, J.P., Schulz, T., et al.: Gross-total surgery of supratentorial low-grade gliomas under intraoperative MR guidance. AJNR Am. J. Neuroradiol. 22, 89–98 (2001)
Black, P.M., et al.: Development and implementation of intraoperative magnetic resonance imaging and its neurosurgical applications. Neurosurgery 41, 831–842 (1997)
Breedveld, P., Stassen, H.G., Meijer, D.W., Stassen, L.P.S.: Theoretical background and conceptual solution for depth perception and eye-hand coordination problems in laparoscopic surgery. Minim. Invasiv. Ther. 8, 227–234 (1999)
Birkfellner, W., et al.: A head-mounted operating binocular for augmented reality visualization in medicine. IEEE Trans. Med. Imag. 21, 991–997 (2002)
Blackwell, M., Nikou, C., Digioia, A.M., Kanade, T.: An image overlay system for medical data visualization. Medical Image Analysis 4, 67–72 (2000)
Liao, H., et al.: Surgical Navigation by Autostereoscopic Image Overlay of Integral Videography. IEEE TITB 8(2), 114–121 (2004)
Liao, H., Iwahara, M., Hata, N., Dohi, T.: High-quality integral videography using a multi-projector. Optics Express 12(6), 1067–1076 (2004)
Liao, H., Tamura, D., et al.: High Quality Autostereoscopic Surgical Display of Integral Videography Imaging. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 462–469. Springer, Heidelberg (2004)
Inomata, T., Muragaki, Y., Iseki, H., et al.: Intraoperative Segmentation of Brain Tumors for Open MRI Guided Glioma Surgery. In: CARS 2004, p. 1284 (2004)
Arun, K.S., Huang, T.S., Blostern, S.D.: Least-square fitting of two 3-D point sets. IEEE Trans. Pattern Anal. Machine Intell. PAMI-9, 698–700 (1987)
Azar, F.S., Perrin, N., et al.: User performance analysis of different image-based navigation systems for needle placement. In: Proceedings of SPIE, vol. 5367, pp. 120–121 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liao, H., Inomata, T., Sakuma, I., Dohi, T. (2006). Surgical Navigation of Integral Videography Image Overlay for Open MRI-Guided Glioma Surgery. In: Yang, GZ., Jiang, T., Shen, D., Gu, L., Yang, J. (eds) Medical Imaging and Augmented Reality. MIAR 2006. Lecture Notes in Computer Science, vol 4091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812715_24
Download citation
DOI: https://doi.org/10.1007/11812715_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37220-2
Online ISBN: 978-3-540-37221-9
eBook Packages: Computer ScienceComputer Science (R0)