Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

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Anatomy Browser: A Framework for Integration of Medical Information

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
Volume Number:
1
Pages:
720-31
Citation:
Int Conf Med Image Comput Comput Assist Interv. 1998 Oct;1:720-31.
Keywords:
Visualization, 3D Model Generation, Model Hierarchy
Appears in Collections:
PNL, SPL
Generated Citation:
Golland P., Kikinis R., Umans C., Halle M., Shenton M.E., Richolt J.M. Anatomy Browser: A Framework for Integration of Medical Information. Int Conf Med Image Comput Comput Assist Interv. 1998 Oct;1:720-31.
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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)