TY - JOUR
T1 - CASMIL
T2 - A comprehensive software/toolkit for image-guided neurosurgeries
AU - Kaur, Gulsheen
AU - Tan, Jun
AU - Alam, Mohammed
AU - Chaudhary, Vipin
AU - Chen, Dingguo
AU - Dong, Ming
AU - Eltahawy, Hazem
AU - Fotouhi, Farshad
AU - Gammage, Christopher
AU - Gong, Jason
AU - Grosky, William
AU - Guthikonda, Murali
AU - Hu, Jingwen
AU - Jeyaraj, Devkanak
AU - Jin, Xin
AU - King, Albert
AU - Landman, Joseph
AU - Lee, Jong
AU - Li, Qing Hang
AU - Lufei, Hanping
AU - Morse, Michael
AU - Patel, Jignesh
AU - Sethi, Ishwar
AU - Shi, Weisong
AU - Yang, King
AU - Zhang, Zhiming
PY - 2006/6
Y1 - 2006/6
N2 - Background: CASMIL aims to develop a cost-effective and efficient approach to monitor and predict deformation during surgery, allowing accurate, and real-time intra-operative information to be provided reliably to the surgeon. Method: CASMIL is a comprehensive Image-guided Neurosurgery System with extensive novel features. It is an integration of various modules including rigid and non-rigid body co-registration (image-image, image-atlas, and image-patient), automated 3D segmentation, brain shift predictor, knowledge based query tools, intelligent planning, and augmented reality. One of the vital and unique modules is the Intelligent Planning module, which displays the best surgical corridor on the computer screen based on tumor location, captured surgeon knowledge, and predicted brain shift using patient specific Finite Element Model. Also, it has multi-level parallel computing to provide near real-time interaction with iMRI (Intra-operative MRI). In addition, it has been securely web-enabled and optimized for remote web and PDA access. Results: A version of this system is being used and tested using real patient data and is expected to be in use in the operating room at the Detroit Medical Center in the first half of 2006. Conclusion: CASMIL is currently under development and is targeted for minimally invasive surgeries. With minimal changes to the design, it can be easily extended and made available for other surgical procedures.
AB - Background: CASMIL aims to develop a cost-effective and efficient approach to monitor and predict deformation during surgery, allowing accurate, and real-time intra-operative information to be provided reliably to the surgeon. Method: CASMIL is a comprehensive Image-guided Neurosurgery System with extensive novel features. It is an integration of various modules including rigid and non-rigid body co-registration (image-image, image-atlas, and image-patient), automated 3D segmentation, brain shift predictor, knowledge based query tools, intelligent planning, and augmented reality. One of the vital and unique modules is the Intelligent Planning module, which displays the best surgical corridor on the computer screen based on tumor location, captured surgeon knowledge, and predicted brain shift using patient specific Finite Element Model. Also, it has multi-level parallel computing to provide near real-time interaction with iMRI (Intra-operative MRI). In addition, it has been securely web-enabled and optimized for remote web and PDA access. Results: A version of this system is being used and tested using real patient data and is expected to be in use in the operating room at the Detroit Medical Center in the first half of 2006. Conclusion: CASMIL is currently under development and is targeted for minimally invasive surgeries. With minimal changes to the design, it can be easily extended and made available for other surgical procedures.
KW - Augmented reality
KW - Brain shift
KW - Computer-assisted surgery
KW - Finite element model
KW - Intelligent planning
KW - Neurosurgery
KW - Parallel computing in surgery
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U2 - 10.1002/rcs.87
DO - 10.1002/rcs.87
M3 - Review article
C2 - 17520623
AN - SCOPUS:33750057387
SN - 1478-5951
VL - 2
SP - 123
EP - 138
JO - International Journal of Medical Robotics and Computer Assisted Surgery
JF - International Journal of Medical Robotics and Computer Assisted Surgery
IS - 2
ER -