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

Surgical Planning Laboratory

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A Digital Brain Atlas for Surgical Planning, Model-driven Segmentation, and Teaching

Institution:
Surgical Planning Laboratory, MRI Division, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
IEEE TVCG
Publication Date:
Sep-1996
Volume Number:
2
Issue Number:
3
Pages:
232-41
Citation:
IEEE Transactions on Visualization and Computer Graphics 1996 Sep; 2(3):232-41.
Keywords:
Brain Atlas, Magnetic Resonance Imaging, 3D Visualization, 3D Surface Rendering, Biomedical Visualization
Appears in Collections:
SPL, NCIGT, PNL
Sponsors:
K02 MH001110/MH/NIMH NIH HHS/United States
R01 MH040799/MH/NIMH NIH HHS/United States
R01 MH050747/MH/NIMH NIH HHS/United States
Generated Citation:
Kikinis R., Shenton M.E., Iosifescu D.V., McCarley R.W., Saiviroonporn P., Hokama H.H., Robatino A., Metcalf D., Wible C.G., Portas C.M., Donnino R.M., Jolesz F.A. A Digital Brain Atlas for Surgical Planning, Model-driven Segmentation, and Teaching. IEEE Transactions on Visualization and Computer Graphics 1996 Sep; 2(3):232-41.
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We developed a three-dimensional (3D) digitized atlas of the human brain to visualize spatially complex structures. It was designed for use with magnetic resonance (MR) imaging data sets. Thus far, we have used this atlas for surgical planning, model-driven segmentation, and teaching. We used a combination of automated and supervised segmentation methods to define regions of interest based on neuroanatomical knowledge. We also used 3D surface rendering techniques to create a brain atlas that would allow us to visualize complex 3D brain structures. We further linked this Information to script files in order to preserve both spatial information and neuroanatomical knowledge. We present here the application of the atlas for visualization in surgical planning far model-driven segmentation and for the teaching of neuroanatomy. This digitized human brain has the potential to provide important reference information for the planning of surgical procedures. It can also serve as a powerful teaching tool, since spatial relationships among neuroanatomical structures can be more readily envisioned when the user is able to view and rotate the structures in 3D space. Moreover, each element of the brain atlas is associated with a name tag, displayed by a user controlled pointer. The atlas holds a major promise as a template for model-driven segmentation. Using this technique, many regions of interest can be characterized simultaneously on new brain images.

Additional Material
1 File (193.446kB)
Kikinis-TransVisCompGraph1996-fig2.jpg (193.446kB)