pubmed-article:20425981 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20425981 | lifeskim:mentions | umls-concept:C0002978 | lld:lifeskim |
pubmed-article:20425981 | lifeskim:mentions | umls-concept:C0917996 | lld:lifeskim |
pubmed-article:20425981 | lifeskim:mentions | umls-concept:C1980023 | lld:lifeskim |
pubmed-article:20425981 | lifeskim:mentions | umls-concept:C0549178 | lld:lifeskim |
pubmed-article:20425981 | pubmed:issue | Pt 1 | lld:pubmed |
pubmed-article:20425981 | pubmed:dateCreated | 2010-4-29 | lld:pubmed |
pubmed-article:20425981 | pubmed:abstractText | This paper presents a technique to recover dynamic 3D vascular morphology from a single 3D rotational X-ray angiography acquisition. The dynamic morphology corresponding to a canonical cardiac cycle is represented via a 4D B-spline based spatiotemporal deformation. Such deformation is estimated by simultaneously matching the forward projections of a sequence of the temporally deformed 3D reference volume to the entire 2D measured projection sequence. A joint use of two acceleration strategies is also proposed: semi-precomputation of forward projections and registration metric computation based on a narrow-band region-of-interest. Digital and physical phantoms of pulsating cerebral aneurysms have been used for evaluation. Accurate estimation has been obtained in recovering sub-voxel pulsation, even from images with substantial intensity inhomogeneity. Results also demonstrate that the acceleration strategies can reduce memory consumption and computational time without degrading the performance. | lld:pubmed |
pubmed-article:20425981 | pubmed:language | eng | lld:pubmed |
pubmed-article:20425981 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20425981 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:20425981 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20425981 | pubmed:author | pubmed-author:FrangiAlejand... | lld:pubmed |
pubmed-article:20425981 | pubmed:author | pubmed-author:BijnensBart... | lld:pubmed |
pubmed-article:20425981 | pubmed:author | pubmed-author:ZhangChongC | lld:pubmed |
pubmed-article:20425981 | pubmed:author | pubmed-author:De... | lld:pubmed |
pubmed-article:20425981 | pubmed:author | pubmed-author:Villa-UriolMa... | lld:pubmed |
pubmed-article:20425981 | pubmed:author | pubmed-author:PozoJose MJM | lld:pubmed |
pubmed-article:20425981 | pubmed:volume | 12 | lld:pubmed |
pubmed-article:20425981 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20425981 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20425981 | pubmed:pagination | 140-7 | lld:pubmed |
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pubmed-article:20425981 | pubmed:year | 2009 | lld:pubmed |
pubmed-article:20425981 | pubmed:articleTitle | Estimating continuous 4D wall motion of cerebral aneurysms from 3D rotational angiography. | lld:pubmed |
pubmed-article:20425981 | pubmed:affiliation | Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona, Spain. | lld:pubmed |
pubmed-article:20425981 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20425981 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |