Chapter title |
A Comprehensive System for Intraoperative 3D Brain Deformation Recovery
|
---|---|
Chapter number | 67 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
|
Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, October 2007
|
DOI | 10.1007/978-3-540-75759-7_67 |
Pubmed ID | |
Book ISBNs |
978-3-54-075758-0, 978-3-54-075759-7
|
Authors |
DeLorenzo, Christine, Papademetris, Xenophon, Vives, Kenneth P, Spencer, Dennis D, Duncan, James S, Christine DeLorenzo, Xenophon Papademetris, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan, Vives, Kenneth P., Spencer, Dennis D., Duncan, James S. |
Abstract |
During neurosurgery, brain deformation renders preoperative images unreliable for localizing pathologic structures. In order to visualize the current brain anatomy, it is necessary to nonrigidly warp these preoperative images to reflect the intraoperative brain. This can be accomplished using a biomechanical model driven by sparse intraoperative information. In this paper, a linear elastic model of the brain is developed which can infer volumetric brain deformation given the cortical surface displacement. This model was tested on both a realistic brain phantom and in vivo, proving its ability to account for large brain deformations. Also, an efficient semiautomatic strategy for preoperative cortical feature detection is outlined, since accurate segmentation of cortical features can aid intraoperative cortical surface tracking. |
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Geographical breakdown
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Portugal | 1 | 4% |
Germany | 1 | 4% |
Singapore | 1 | 4% |
Unknown | 25 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 21% |
Researcher | 4 | 14% |
Student > Bachelor | 3 | 11% |
Student > Ph. D. Student | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Other | 6 | 21% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
---|---|---|
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Engineering | 7 | 25% |
Agricultural and Biological Sciences | 2 | 7% |
Computer Science | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 7% |
Unknown | 5 | 18% |