Cardiac motion estimation using multi-scale feature points

A. Becciu; H.C. Assen, van; L.M.J. Florack; B.J. Janssen; B.M. Haar Romenij, ter

doi:10380/1371

Cardiac motion estimation using multi-scale feature points

A. Becciu, H.C. Assen, van, L.M.J. Florack, B.J. Janssen, B.M. Haar Romenij, ter

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

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Abstract

Heart illnesses influence the functioning of the cardiac muscle and are the major causes of death inthe world. Optic flow methods are essential tools to assess and quantify the contraction of the cardiacwalls, but are hampered by the aperture problem. Harmonic phase (HARP) techniques measure thephase in magnetic resonance (MR) tagged images. Due to the regular geometry, patterns generated bya combination of HARPs and sine HARPs represent a suitable framework to extract landmark features.In this paper we introduce a new aperture-problem free method to study the cardiac motion by trackingmulti-scale features such as maxima, minima, saddles and corners, on HARP and sine HARP taggedimages.

Original language	English
Title of host publication	Computational Biomechanics for Medicine III : Proceedings of the MICCAI 2008 Workshop, New York, USA, September 10, 2008
Editors	K. Miller, P.M.F. Nielse
Pages	5-14
DOIs	https://doi.org/10380/1371
Publication status	Published - 2008

Publication series

Name	Midas Journal
Volume	13(229)

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Becciu, A., Assen, van, H. C., Florack, L. M. J., Janssen, B. J., & Haar Romenij, ter, B. M. (2008). Cardiac motion estimation using multi-scale feature points. In K. Miller, & P. M. F. Nielse (Eds.), Computational Biomechanics for Medicine III : Proceedings of the MICCAI 2008 Workshop, New York, USA, September 10, 2008 (pp. 5-14). (Midas Journal; Vol. 13(229)). https://doi.org/10380/1371

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abstract = "Heart illnesses influence the functioning of the cardiac muscle and are the major causes of death inthe world. Optic flow methods are essential tools to assess and quantify the contraction of the cardiacwalls, but are hampered by the aperture problem. Harmonic phase (HARP) techniques measure thephase in magnetic resonance (MR) tagged images. Due to the regular geometry, patterns generated bya combination of HARPs and sine HARPs represent a suitable framework to extract landmark features.In this paper we introduce a new aperture-problem free method to study the cardiac motion by trackingmulti-scale features such as maxima, minima, saddles and corners, on HARP and sine HARP taggedimages.",

author = "A. Becciu and {Assen, van}, H.C. and L.M.J. Florack and B.J. Janssen and {Haar Romenij, ter}, B.M.",

year = "2008",

doi = "10380/1371",

language = "English",

series = "Midas Journal",

pages = "5--14",

editor = "K. Miller and P.M.F. Nielse",

booktitle = "Computational Biomechanics for Medicine III : Proceedings of the MICCAI 2008 Workshop, New York, USA, September 10, 2008",

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Cardiac motion estimation using multi-scale feature points. / Becciu, A.; Assen, van, H.C.; Florack, L.M.J. et al.
Computational Biomechanics for Medicine III : Proceedings of the MICCAI 2008 Workshop, New York, USA, September 10, 2008. ed. / K. Miller; P.M.F. Nielse. 2008. p. 5-14 (Midas Journal; Vol. 13(229)).

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

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AU - Becciu, A.

AU - Assen, van, H.C.

AU - Florack, L.M.J.

AU - Janssen, B.J.

AU - Haar Romenij, ter, B.M.

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AB - Heart illnesses influence the functioning of the cardiac muscle and are the major causes of death inthe world. Optic flow methods are essential tools to assess and quantify the contraction of the cardiacwalls, but are hampered by the aperture problem. Harmonic phase (HARP) techniques measure thephase in magnetic resonance (MR) tagged images. Due to the regular geometry, patterns generated bya combination of HARPs and sine HARPs represent a suitable framework to extract landmark features.In this paper we introduce a new aperture-problem free method to study the cardiac motion by trackingmulti-scale features such as maxima, minima, saddles and corners, on HARP and sine HARP taggedimages.

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M3 - Conference contribution

T3 - Midas Journal

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BT - Computational Biomechanics for Medicine III : Proceedings of the MICCAI 2008 Workshop, New York, USA, September 10, 2008

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Cardiac motion estimation using multi-scale feature points

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