Chapter title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
|
---|---|
Chapter number | 85 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
|
Published in |
Lecture notes in computer science, January 2008
|
DOI | 10.1007/978-3-540-85988-8_85 |
Pubmed ID | |
Book ISBNs |
978-3-54-085987-1, 978-3-54-085988-8
|
Authors |
Yuen, Shelten G, Kesner, Samuel B, Vasilyev, Nikolay V, Del Nido, Pedro J, Howe, Robert D, Yuen, Shelten G., Kesner, Samuel B., Vasilyev, Nikolay V., Del Nido, Pedro J., Howe, Robert D., Shelten G. Yuen, Samuel B. Kesner, Nikolay V. Vasilyev, Pedro J. Del Nido, Robert D. Howe |
Abstract |
Beating heart intracardiac procedures promise significant benefits for patients, however, the fast motion of the heart poses serious challenges to surgeons. We present a new 3D ultrasound-guided motion (3DUS) compensation system that synchronizes instrument motion with the heart. The system utilizes the fact that the motion of some intracardiac structures, including the mitral valve annulus, is largely constrained to translation along one axis. This allows the development of a real-time 3DUS tissue tracker which we integrate with a 1 degree-of-freedom actuated surgical instrument, real-time 3DUS instrument tracker, and predictive filter to devise a system with synchronization accuracy of 1.8 mm RMSE. User studies involving the deployment of surgical anchors in a simulated mitral annuloplasty procedure demonstrate that the system increases success rates by over 100%. Furthermore, it enables more careful anchor deployment by reducing forces to the tissue by 50% while allowing instruments to remain in contact with the tissue for longer periods. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 37% |
Student > Master | 15 | 24% |
Student > Bachelor | 5 | 8% |
Researcher | 4 | 6% |
Student > Postgraduate | 3 | 5% |
Other | 5 | 8% |
Unknown | 7 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 31 | 50% |
Computer Science | 6 | 10% |
Medicine and Dentistry | 4 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Physics and Astronomy | 2 | 3% |
Other | 8 | 13% |
Unknown | 9 | 15% |