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 journalConference articlepeer-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 languageEnglish
Pages (from-to)157-161
Number of pages5
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume36
Issue number15
DOIs
Publication statusPublished - 2003 Jan 1
Externally publishedYes
Event5th IFAC Symposium on Modelling and Control in Biomedical Systems 2003 - Melbourne, Australia
Duration: 2003 Aug 212003 Aug 23

Keywords

  • Motion estimation
  • Optical flows
  • Registration

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Motion estimation and correction for myocardial perfusion imaging'. Together they form a unique fingerprint.

Cite this