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An integrated visualization system for surgical planning and guidance using image fusion and an open MR
Open accessAbstract
A surgical guidance and visualization system is presented, which uniquely integrates capabilities for data analysis and on‐line interventional guidance into the setting of interventional MRI. Various pre‐operative scans (T1‐ and T2‐weighted MRI, MR angiography, and functional MRI (fMRI)) are fused and automatically aligned with the operating field of the interventional MR system. Both pre‐surgical and intra‐operative data may be segmented to generate three‐dimensional surface models of key anatomical and functional structures. Models are combined in a three‐dimensional scene along with reformatted slices that are driven by a tracked surgical device. Thus, pre‐operative data augments interventional imaging to expedite tissue characterization and precise localization and targeting. As the surgery progresses, and anatomical changes subsequently reduce the relevance of pre‐operative data, interventional data is refreshed for software navigation in true real time. The system has been applied in 45 neurosurgical cases and found to have beneficial utility for planning and guidance. J. Magn. Reson. Imaging 2001;13:967–975. © 2001 Wiley‐Liss, Inc.
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Cited by
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868
Diffusion Weighted Image Denoising Using Overcomplete Local PCA
Manjón, J. V., Coupé, P., Concha, L., Buades, A., Collins, D. L., & Robles, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073021 · Cited by 417
Emerging Applications of Bedside 3D Printing in Plastic Surgery
Chae, M. P., Rozen, W. M., McMenamin, P. G., Findlay, M. W., Spychal, R. T., & Hunter-Smith, D. J. (2015) · Frontiers in Surgery · doi:10.3389/fsurg.2015.00025 · Cited by 377
User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP
Yushkevich, P. A., Pashchinskiy, A., Oguz, I., Mohan, S., Schmitt, J. E., Stein, J. M., Zukić, D., Vicory, J., McCormick, M., Yushkevich, N., et al. (2019) · Neuroinformatics · doi:10.1007/s12021-018-9385-x · Cited by 175
Singh, K., Jakab, M., Reid, W. M. N., Berger, L. A., & Hoyte, L. (2003) · American Journal of Obstetrics and Gynecology · doi:10.1067/mob.2003.254 · Cited by 139
Metadata
- Authors
- Gering, D. T., Nabavi, A., Kikinis, R., Hata, N., O'Donnell, L. J., Grimson, W. E. L., Jolesz, F. A., Black, P. M., & Wells, W. M.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2001-05-22
- Volume
- 13
- Issue
- 6
- Pages
- 967-975
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W2138328476
- Cited by
- 366
- References
- 0
- FWCI
- 22.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Gering, D. T., Nabavi, A., Kikinis, R., Hata, N., O'Donnell, L. J., Grimson, W. E. L., Jolesz, F. A., Black, P. M., & Wells, W. M. (2001). An integrated visualization system for surgical planning and guidance using image fusion and an open MR. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.1139
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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