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

Avan Suinesiaputra; Luc Florack; Jos J. M. Westenberg; Bart M. ter Haar Romeny; Johan H. C. Reiber; Boudewijn P. F. Lelieveldt

doi:10.1007/978-3-540-39899-8_60

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

Avan Suinesiaputra, Luc Florack, Jos J. M. Westenberg, Bart M. ter Haar Romeny, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1
Editors	R.E. Ellis
Place of Publication	Berlin
Publisher	Springer
Pages	483-490
Number of pages	8
ISBN (Print)	3-540-20462-8
DOIs	https://doi.org/10.1007/978-3-540-39899-8_60
Publication status	Published - 2003

Publication series

Name	Lecture Notes in Computer Science
Volume	2878
ISSN (Print)	0302-9743

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10.1007/978-3-540-39899-8_60

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Suinesiaputra, A., Florack, L., Westenberg, J. J. M., Romeny, B. M. T. H., Reiber, J. H. C., & Lelieveldt, B. P. F. (2003). Optic flow computation from cardiac MR tagging using a multiscale differential method : a comparative study with velocity-encoded MRI. In R. E. Ellis (Ed.), Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1 (pp. 483-490). (Lecture Notes in Computer Science; Vol. 2878). Springer. https://doi.org/10.1007/978-3-540-39899-8_60

Suinesiaputra, Avan ; Florack, Luc ; Westenberg, Jos J. M. et al. / Optic flow computation from cardiac MR tagging using a multiscale differential method : a comparative study with velocity-encoded MRI. Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1. editor / R.E. Ellis. Berlin : Springer, 2003. pp. 483-490 (Lecture Notes in Computer Science).

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

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.",

author = "Avan Suinesiaputra and Luc Florack and Westenberg, {Jos J. M.} and Romeny, {Bart M. ter Haar} and Reiber, {Johan H. C.} and Lelieveldt, {Boudewijn P. F.}",

year = "2003",

doi = "10.1007/978-3-540-39899-8_60",

language = "English",

isbn = "3-540-20462-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "483--490",

editor = "R.E. Ellis",

booktitle = "Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1",

address = "Germany",

}

Suinesiaputra, A, Florack, L, Westenberg, JJM, Romeny, BMTH, Reiber, JHC & Lelieveldt, BPF 2003, Optic flow computation from cardiac MR tagging using a multiscale differential method : a comparative study with velocity-encoded MRI. in RE Ellis (ed.), Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1. Lecture Notes in Computer Science, vol. 2878, Springer, Berlin, pp. 483-490. https://doi.org/10.1007/978-3-540-39899-8_60

Optic flow computation from cardiac MR tagging using a multiscale differential method : a comparative study with velocity-encoded MRI. / Suinesiaputra, Avan; Florack, Luc; Westenberg, Jos J. M. et al.
Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1. ed. / R.E. Ellis. Berlin: Springer, 2003. p. 483-490 (Lecture Notes in Computer Science; Vol. 2878).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Suinesiaputra, Avan

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AU - Romeny, Bart M. ter Haar

AU - Reiber, Johan H. C.

AU - Lelieveldt, Boudewijn P. F.

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N2 - 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.

AB - 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.

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DO - 10.1007/978-3-540-39899-8_60

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Suinesiaputra A, Florack L, Westenberg JJM, Romeny BMTH, Reiber JHC, Lelieveldt BPF. Optic flow computation from cardiac MR tagging using a multiscale differential method : a comparative study with velocity-encoded MRI. In Ellis RE, editor, Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th international conference, Montreal, Canada, November 15-18, 2003; proceedings. Part 1. Berlin: Springer. 2003. p. 483-490. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-39899-8_60

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

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