Using motion correction to improve real-time cardiac MRI reconstruction

E. Bilgazyev, I. Uyanik, M. Unan, Dipan Shah, Nikolaos V. Tsekos, E. L. Leiss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Cardiac gating or breath-hold MRI acquisition is challenging. In particular, data collected in a short amount of time might be insufficient for the diagnosis of patients with impaired breath-holding capabilities and/or arrhythmia. A major challenge in cardiac MRI is the motion of the heart itself, the pulsate blood flow, and the respiratory motion. Furthermore, the motion of the diaphragm in the chest moving up and down gets translated to the heart when a patient breathes. Therefore, artifacts arise due to the changes in signal intensity or phase as a function of time, resulting in blurry images. This paper describes a novel reconstruction strategy for real time cardiac MRI without requiring the use of an electro-cardiogram or of breath holding. In this research we focused on automation and evaluation of the performance of our proposed method in real time MRI data to ensure a good basis for the signal extraction. Hence, it assists in the reconstruction. The proposed method enables one to extract cardiac beating waveforms directly from real-time cardiac MRI series collected from freely breathing patients and without cardiac gating. Our method only requires minimal user involvement as initialization step. Thereafter, the method follows the registered area in every frame and updates itself.

Original languageEnglish (US)
Title of host publicationSixth International Conference on Machine Vision, ICMV 2013
PublisherSPIE
ISBN (Print)9780819499967
DOIs
StatePublished - 2013
Event6th International Conference on Machine Vision, ICMV 2013 - London, United Kingdom
Duration: Nov 16 2013Nov 17 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9067
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

Other6th International Conference on Machine Vision, ICMV 2013
CountryUnited Kingdom
CityLondon
Period11/16/1311/17/13

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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