Paper
22 September 1992 Visualization of multimodal images for the planning of skull base surgery
Derek L.G. Hill, S. E.M. Green, J. E. Crossman, David John Hawkes, Glynn P. Robinson, C. F. Ruff, T. C.S. Cox, A. J. Strong, Michael J. Gleeson
Author Affiliations +
Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131109
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States
Abstract
This paper describes our methodology for combining and visualizing registered MR, CT, and angiographic images of the head. We register the individual datasets using the location of a number of user identified anatomical point landmarks to derive the rigid body transformation between datasets. The combined images are displayed either as 2-D slices or as 3-D rendered scenes. Three independent observers performed a detailed assessment of the usefulness of the combined images in the planning of resection of skull base lesions in seven patients. We have shown that in all patients studied at least one of our observers obtained significant extra clinical information from the combined images, while all observers showed significantly increased confidence in the pre-operative surgical plan in all but one patient. Initial evaluation of the 3-D rendered displays showed that the size, shape, and extent of the tumors were better visualized, 3-D spatial relationships between structures were clarified, viewing the resection site in 3-D was very useful, and movie loops provided a very strong 3-D cue. An improved method of registering information from multiple imaging modalities is described and future directions for image combination and visualization are suggested.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Derek L.G. Hill, S. E.M. Green, J. E. Crossman, David John Hawkes, Glynn P. Robinson, C. F. Ruff, T. C.S. Cox, A. J. Strong, and Michael J. Gleeson "Visualization of multimodal images for the planning of skull base surgery", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131109
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Cited by 13 scholarly publications.
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KEYWORDS
Visualization

Surgery

Skull

3D image processing

3D displays

Magnetic resonance imaging

Image segmentation

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