Efficient Generation of Shape-Based Reference Frames for the Corpus Callosum for DTI-based Connectivity Analysis
dc.contributor.author | Sun, Hui | |
dc.contributor.author | Yushkevich, Paul A | |
dc.contributor.author | Gee, James C. | |
dc.contributor.author | Zhang, Hui | |
dc.contributor.author | Simon, Tony J | |
dc.date | 2023-05-17T05:26:48.000 | |
dc.date.accessioned | 2023-05-22T12:48:30Z | |
dc.date.available | 2023-05-22T12:48:30Z | |
dc.date.issued | 2006-06-01 | |
dc.date.submitted | 2010-10-12T07:33:56-07:00 | |
dc.description.abstract | Yushkevich et.al. [17, 18] established a PDE-based deformable modeling approach called continuous medial representation (cm-rep), in which the geometric relationship between the medial axis of a 3D object and its boundary is captured. Continuous medial description of an object not only provides useful shape features for object characterization and comparison; it also imposes a shape-based reference frame on the interior of that object. Such a reference frame provides a useful means of representing different instances of an anatomical structure using a common canonical parametrization domain. This paper presents an efficient method to construct continuous medial shape models for 2D objects. A closed form solution for the ordinary differential equation (ODE) is derived via Pythagorean hodograph (PH) curves. That closed form solution reduces the computation complexity from solving an ODE system to pure algebraic manipulation. Using this method, we generate shape-based reference frames, and demonstrate how they can be applied to the analysis of anatomical connectivity of corpora callosa, obtained by fiber tracking in diffusion tensor magnetic resonance imaging (DTI) in a chromosome 22q11.2 deletion syndrome study. | |
dc.description.comments | Suggested Citation: Hui Sun; Yushkevich, P.A.; Hui Zhang; Gee, J.C.; Simon, T.J.; , "Efficient Generation of Shape-Based Reference Frames for the Corpus Callosum for DTI-based Connectivity Analysis," Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. pp. 87- 87, 17-22 June 2006. ©2006 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 redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
dc.identifier.uri | https://repository.upenn.edu/handle/20.500.14332/6493 | |
dc.legacy.articleid | 1477 | |
dc.legacy.fields | true | |
dc.legacy.fulltexturl | https://repository.upenn.edu/cgi/viewcontent.cgi?article=1477&context=cis_papers&unstamped=1 | |
dc.source.issue | 441 | |
dc.source.journal | Departmental Papers (CIS) | |
dc.source.peerreviewed | true | |
dc.source.status | published | |
dc.subject.other | Engineering | |
dc.title | Efficient Generation of Shape-Based Reference Frames for the Corpus Callosum for DTI-based Connectivity Analysis | |
dc.type | Presentation | |
digcom.contributor.author | isAuthorOfPublication|email:sunhui@seas.upenn.edu|institution:University of Pennsylvania|Sun, Hui | |
digcom.contributor.author | isAuthorOfPublication|email:pauly2@grasp.upenn.edu|institution:University of Pennsylvania|Yushkevich, Paul A | |
digcom.contributor.author | Zhang, Hui | |
digcom.contributor.author | isAuthorOfPublication|email:gee@mail.med.upenn.edu|institution:University of Pennsylvania|Gee, James C. | |
digcom.contributor.author | Simon, Tony J | |
digcom.identifier | cis_papers/441 | |
digcom.identifier.contextkey | 1601348 | |
digcom.identifier.submissionpath | cis_papers/441 | |
digcom.type | conference | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 2a0887d4-869a-4f6e-8a58-26b4d8ea670b | |
relation.isAuthorOfPublication | cd0ab306-cab7-4954-8cc5-eeea07abff30 | |
relation.isAuthorOfPublication | 1a280bc7-a0f7-4f5a-90b3-786fbfed8273 | |
relation.isAuthorOfPublication.latestForDiscovery | 2a0887d4-869a-4f6e-8a58-26b4d8ea670b | |
upenn.schoolDepartmentCenter | Departmental Papers (CIS) |
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