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Optic flow computation from cardiac MR tagging using a multiscale differential method : a comparative study with velocity-encoded MRI

Authors :
Suinesiaputra, Avan
Florack, Luc
Westenberg, Jos J. M.
Romeny, Bart M. ter Haar
Reiber, Johan H. C.
Lelieveldt, Boudewijn P. F.
Ellis, R.E.
Mathematical Image Analysis
Applied Physics and Science Education
Medical Image Analysis
Source :
Medical image computing and computer-assisted intervention-MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1, 483-490, STARTPAGE=483;ENDPAGE=490;TITLE=Medical image computing and computer-assisted intervention-MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1
Publication Year :
2003
Publisher :
Springer, 2003.

Abstract

The computation of an optic flow field to reconstruct a dense velocity field from a sequence of tagged MR images faces a major difficulty: a non-constant pixel intensity. In this paper, we resolved this problem by regarding the MRI sequence as density images, which adhere to a principle of conservation of intensity. Based on this principle, optic flow equations are developed based on Gaussian derivatives as differentialoperators. The multiscale optic flow method is applied to cardiac tagged MRI. A quantitative analysis is presented comparing the reconstructed dense velocity field with a directly acquired velocity field usingthe velocity-encoded (VEC) MRI.

Details

Language :
English
Database :
OpenAIRE
Journal :
Medical image computing and computer-assisted intervention-MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1, 483-490, STARTPAGE=483;ENDPAGE=490;TITLE=Medical image computing and computer-assisted intervention-MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1
Accession number :
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