Title |
Fast virtual stenting with deformable meshes: application to intracranial aneurysms.
|
---|---|
Published by |
ADS, January 2008
|
DOI | 10.1007/978-3-540-85990-1-95 |
Pubmed ID | |
ISBNs |
978-3-54-085989-5, 978-3-54-085987-1, 978-3-54-085990-1, 978-3-54-085988-8
|
Authors |
Larrabide, Ignacio, Radaelli, Alessandro, Frangi, Alejandro, Chung, Jae-Hoon, Rajagopal, Vijay, Nielsen, Poul M F, Nash, Martyn P, Metaxas, Dimitris N. |
Editors |
Dimitris Metaxas, Leon Axel, Gabor Fichtinger, Gábor Székely |
Abstract |
Intracranial stents are medical devices that are becoming increasingly popular in the treatment of intracranial aneurysms. A methodology that predicts the released stent configuration prior to intervention has the potential to support the physician in the selection of the optimal approach for a specific patient. This paper proposes a fast virtual stenting technique based on constrained simplex deformable models that is able to virtually release stents in arbitrarily shaped vessel and aneurysm models. The technique effectively embeds the geometrical properties of the stent (cell design, strut size and shape and angles between struts) and achieves favorable execution times of the order of one minute. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
United Kingdom | 1 | 13% |
China | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 6% |
Spain | 2 | 6% |
Hungary | 1 | 3% |
Netherlands | 1 | 3% |
Unknown | 30 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 39% |
Student > Ph. D. Student | 11 | 31% |
Professor | 4 | 11% |
Other | 4 | 11% |
Student > Master | 4 | 11% |
Other | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 20 | 56% |
Computer Science | 7 | 19% |
Physics and Astronomy | 3 | 8% |
Mathematics | 2 | 6% |
Philosophy | 1 | 3% |
Other | 3 | 8% |