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Anatomy browser: A framework for integration of medical information
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Institution: |
1 Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. 2 Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. |
Publisher: |
Med Image Comput Comput Assist Interv. MICCAI 1998 |
Publication Date: |
Oct-1998 |
Citation: |
Int Conf Med Image Comput Comput Assist Interv. 1998;1:720-731. |
Keywords: |
Visualization, 3D Model Generation, Model Hierarchy |
Appears in Collections: |
PNL, SPL |
Generated Citation: |
Golland P, Kikinis R, Umans C, Halle M, Shenton M, Richolt J. Anatomy browser: A framework for integration of medical information. Int Conf Med Image Comput Comput Assist Interv. 1998;1:720-731. |
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| Paper: | Download, View online |
| Export citation: |
In this paper we present AnatomyBrowser, a framework for integration of images and textual information in medical applications. AnatomyBrowser allows the user to combine 3D surface models of anatomical structures, their cross-sectional slices, and the text available on the structures, while providing a rich set of cross-referencing and annotation capabilities. The 3D models of the structures are generated fully automatically from the segmented slices. The software is platform independent, yet is capable of utilizing available graphics resources. Possible applications include interactive anatomy atlases, image guided surgery and model based segmentation.
Additional Material
1 File (180.281kB)
Golland-MICCAI1998-fig1.jpg (180.281kB)