Title:
A PDE Approach for Measuring Tissue Thickness
A PDE Approach for Measuring Tissue Thickness
dc.contributor.author | Yezzi, Anthony | en_US |
dc.contributor.author | Prince, Jerry L. | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |
dc.contributor.corporatename | Johns Hopkins University. Dept. of Electrical and Computer Engineering | en_US |
dc.date.accessioned | 2013-08-29T20:28:21Z | |
dc.date.available | 2013-08-29T20:28:21Z | |
dc.date.issued | 2003-06 | |
dc.description | ©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | en_US |
dc.description | Presented at the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. CVPR 2001. | en_US |
dc.description | DOI: 10.1109/CVPR.2001.990460 | en_US |
dc.description.abstract | We outline an Eulerian framework for computing the thickness of tissues between two simply connected boundaries. Thickness is defined as the length of trajectories which follow a smooth vector field constructed in the region between the boundaries. A pair of partial differential equations (PDEs) are then solved and combined to yield length without requiring the explicit construction of the trajectories. An efficient, stable, and computationally fast solution to these PDEs is found by careful selection of finite differences according to an upwinding condition. The behavior and performance of the method is demonstrated on two simulations and two magnetic resonance imaging data sets in two and three dimensions. These experiments reveal very good performance and show strong potential for application in tissue thickness visualization and quantification. | en_US |
dc.identifier.citation | A. Yezzi and J. Prince, “A PDE Approach for Measuring Tissue Thickness,” Proceedings of Comp. Vision and Pattern Recognition , vol. 1, December 2001, 87-92. | en_US |
dc.identifier.doi | 10.1109/CVPR.2001.990460 | |
dc.identifier.isbn | 0-7695-1272-0 | |
dc.identifier.issn | 1063-6919 | |
dc.identifier.uri | http://hdl.handle.net/1853/48741 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.publisher.original | Institute of Electrical and Electronics Engineers | en_US |
dc.subject | Eulerian framework | en_US |
dc.subject | PDE approach | en_US |
dc.subject | Anatomical objects | en_US |
dc.subject | Computationally fast solution | en_US |
dc.subject | Explicit construction | en_US |
dc.subject | Finite differences | en_US |
dc.title | A PDE Approach for Measuring Tissue Thickness | en_US |
dc.type | Text | |
dc.type.genre | Article | |
dspace.entity.type | Publication | |
local.contributor.author | Yezzi, Anthony | |
local.contributor.corporatename | School of Electrical and Computer Engineering | |
local.contributor.corporatename | College of Engineering | |
relation.isAuthorOfPublication | 53ee63a2-04fd-454f-b094-02a4601962d8 | |
relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 |
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