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Sufficient Condition for Local Invertibility of Spatio-Temporal 4D B-Spline Deformations

dc.contributor.authorChun, Se Youngen_US
dc.contributor.authorSchretter, Colasen_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.date.accessioned2011-08-18T18:21:03Z
dc.date.available2011-08-18T18:21:03Z
dc.date.issued2010-04-14en_US
dc.identifier.citationChun, S. Y.; Schretter, C; Fessler, J.A. (2010). "Sufficient Condition for Local Invertibility of Spatio-Temporal 4D B-Spline Deformations." IEEE International Symposium on Biomedical Imaging: From Nano to Macro: 1221-1224. <http://hdl.handle.net/2027.42/85901>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85901
dc.description.abstractRecent advances in medical imaging technologies have made 4D image sequences available in clinical routine. As a consequence, image registration techniques are evolving from alignment of pairs of static volumetric images to spatio-temporal registration of dynamic (4D) images. Since the elastic image registration problem is ill-posed, additional prior information or constraints are usually required to regularize the problem. This work proposes to enforce local invertibility (diffeomorphism) of 4D deformations. A novel sufficient condition for local invertibility over continuous space and time is proposed and a practical regularization prior is designed from the theory. The method has been applied to an image registration (motion tracking) of a dynamic 4D CT image sequence. Results show that using proposed regularizer leads to deformations that are more plausible for respiratory motion than the standard approach without additional temporal regularization.en_US
dc.publisherIEEEen_US
dc.titleSufficient Condition for Local Invertibility of Spatio-Temporal 4D B-Spline Deformationsen_US
dc.typearticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationotherMassachusetts General Hospital and Harvard Medical School, USA. RWTH Aachen University, Aachen, Germany.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85901/1/Fessler246.pdf
dc.identifier.doi10.1109/ISBI.2010.5490215en_US
dc.identifier.sourceIEEE International Symposium on Biomedical Imaging: From Nano to Macroen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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