Model-Based 3-D Reconstruction of Branching Vessels
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Nishimura, Dwight | en_US |
dc.contributor.author | Macovski, Albert | en_US |
dc.date.accessioned | 2011-08-18T18:20:48Z | |
dc.date.available | 2011-08-18T18:20:48Z | |
dc.date.issued | 1989-11-09 | en_US |
dc.identifier.citation | Fessler, J.; Nishimura, D.; Macovski, A. (1989). "Model-Based 3-D Reconstruction of Branching Vessels." Proceedings of the Annual International Conference of the IEEE Engineering in Engineering in Medicine and Biology Society: Images of the Twenty-First Century 2: 561-562. <http://hdl.handle.net/2027.42/85823> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85823 | |
dc.description.abstract | This paper describes a new approach to the problem of reconstructing a 3-D arterial tree model from a few angiographic projections. We first develop a natural optimality criterion that defines the globally best reconstruction, and then outline an algorithm that maximizes this criterion. The criterion is a compromise between the conflicting goals of measurement likelihood and object smoothness. Our approach uses a parametric model for the arterial tree, with a new, more accurate model for bifurcations. The algorithm is demonstrated on simulated projections and on magnetic resonance (MR) images. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Model-Based 3-D Reconstruction of Branching Vessels | en_US |
dc.type | article | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationother | Information Systems Laboratory Stanford University. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85823/1/Fessler116.pdf | |
dc.identifier.doi | 10.1109/IEMBS.1989.95873 | en_US |
dc.identifier.source | Proceedings of the Annual International Conference of the IEEE Engineering in Engineering in Medicine and Biology Society: Images of the Twenty-First Century. | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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