Chapter title |
Fast Simulation of Mitral Annuloplasty for Surgical Planning
|
---|---|
Chapter number | 13 |
Book title |
Functional Imaging and Modeling of the Heart
|
Published in |
Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH, June 2013
|
DOI | 10.1007/978-3-642-38899-6_13 |
Pubmed ID | |
Book ISBNs |
978-3-64-238898-9, 978-3-64-238899-6
|
Authors |
Neil A. Tenenholtz, Peter E. Hammer, Assunta Fabozzo, Eric N. Feins, Pedro J. del Nido, Robert D. Howe |
Abstract |
Mitral valve repair is a complex procedure that requires the ability to predict closed valve shape through the examination of an unpressurized, accid valve. These procedures typically include the remodeling of the mitral annulus through the insertion of an annuloplasty ring. While simulations could facilitate the planning of the procedure, traditional finite-element models of mitral annuloplasty are too slow to be clinically feasible and have never been validated in tissue. This work presents a fast method for simulating valve closure post-annuloplasty using a mass-spring tissue model and subject-specific valve geometry. Closed valve shape is predicted in less than one second. The results are validated by implanting an annuloplasty ring in an excised porcine heart and comparing simulated to imaged results. Results indicate that not only can mitral annuloplasty be simulated quickly, but also with submillimeter accuracy. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 44% |
Student > Master | 2 | 13% |
Other | 1 | 6% |
Professor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 50% |
Medicine and Dentistry | 3 | 19% |
Computer Science | 1 | 6% |
Mathematics | 1 | 6% |
Design | 1 | 6% |
Other | 0 | 0% |
Unknown | 2 | 13% |