Motion estimation and correction for myocardial perfusion imaging

Li Yueh Hsu; Kang Ping Lin; Yu Chang Hu; Naoaki Yamada; Hiroshi Watabe; Hidehiro Lida

doi:10.1016/S1474-6670(17)33492-4

Motion estimation and correction for myocardial perfusion imaging

Li Yueh Hsu, Kang Ping Lin, Yu Chang Hu, Naoaki Yamada, Hiroshi Watabe, Hidehiro Lida

Research output: Contribution to journal › Conference article › peer-review

Abstract

Motion estimation and correction is an important yet challenge problem in medical image analysis. This paper presents a new approach to estimate and correct motion artifacts in cardiac perfusion image sequences. The method uses a modified optical flow and block-matching technique to estimate the velocity vector between consecutive image frames. The displacement field of each image is corrected and deformed according a total velocity. This technique is applied to sequences of magnetic resonance myocardial perfusion images. Results from quantitative error measurement and time-intensity plots show improvements over original images after the use of this technique.

Original language	English
Pages (from-to)	157-161
Number of pages	5
Journal	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	36
Issue number	15
DOIs	https://doi.org/10.1016/S1474-6670(17)33492-4
Publication status	Published - 2003 Jan 1
Externally published	Yes
Event	5th IFAC Symposium on Modelling and Control in Biomedical Systems 2003 - Melbourne, Australia Duration: 2003 Aug 21 → 2003 Aug 23

Keywords

Motion estimation
Optical flows
Registration

ASJC Scopus subject areas

Control and Systems Engineering

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title = "Motion estimation and correction for myocardial perfusion imaging",

abstract = "Motion estimation and correction is an important yet challenge problem in medical image analysis. This paper presents a new approach to estimate and correct motion artifacts in cardiac perfusion image sequences. The method uses a modified optical flow and block-matching technique to estimate the velocity vector between consecutive image frames. The displacement field of each image is corrected and deformed according a total velocity. This technique is applied to sequences of magnetic resonance myocardial perfusion images. Results from quantitative error measurement and time-intensity plots show improvements over original images after the use of this technique.",

keywords = "Motion estimation, Optical flows, Registration",

author = "Hsu, {Li Yueh} and Lin, {Kang Ping} and Hu, {Yu Chang} and Naoaki Yamada and Hiroshi Watabe and Hidehiro Lida",

year = "2003",

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language = "English",

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T1 - Motion estimation and correction for myocardial perfusion imaging

AU - Hsu, Li Yueh

AU - Lin, Kang Ping

AU - Hu, Yu Chang

AU - Yamada, Naoaki

AU - Watabe, Hiroshi

AU - Lida, Hidehiro

PY - 2003/1/1

Y1 - 2003/1/1

N2 - Motion estimation and correction is an important yet challenge problem in medical image analysis. This paper presents a new approach to estimate and correct motion artifacts in cardiac perfusion image sequences. The method uses a modified optical flow and block-matching technique to estimate the velocity vector between consecutive image frames. The displacement field of each image is corrected and deformed according a total velocity. This technique is applied to sequences of magnetic resonance myocardial perfusion images. Results from quantitative error measurement and time-intensity plots show improvements over original images after the use of this technique.

AB - Motion estimation and correction is an important yet challenge problem in medical image analysis. This paper presents a new approach to estimate and correct motion artifacts in cardiac perfusion image sequences. The method uses a modified optical flow and block-matching technique to estimate the velocity vector between consecutive image frames. The displacement field of each image is corrected and deformed according a total velocity. This technique is applied to sequences of magnetic resonance myocardial perfusion images. Results from quantitative error measurement and time-intensity plots show improvements over original images after the use of this technique.

KW - Motion estimation

KW - Optical flows

KW - Registration

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