Myocardial perfusion assessment by use of system identification method in a one-compartment model

Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusion assessment However, to analyze the perfusion data, some signal processing and modeling is needed to correct for motion related artifacts and limited spatial resolution. This study describes a method based on system identification, allowing, after a first step of image registration, to integrate and correct the partial volume effect in the myocardium perfusion quantification. This method is then applied to patients with coronary artery disease or hypertrophic obstructive cardiomyopathy.


Published in:
2007 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society, Vols 1-16, 4492-4495
Presented at:
29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Lyon, FRANCE, Aug 22-26, 2007
Year:
2007
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-0787-3
Keywords:
Laboratories:




 Record created 2012-07-04, last modified 2018-03-17

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