Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm

Article Article scientifique Article Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm eng 2003-08 author Dornier Christophe Digital Imaging Unit, Radiology Department, Geneva University Hospital, Geneva, Switzerland. christophe.dornier@dim.hcuge.ch 133996 author Ivancevic Marko Kresimir 88112 author Thevenaz Philippe Victor François 52840 author Vallée Jean-Paul 0000-0001-7546-2013 29185 Département de radiologie et informatique médicale (RADIO) 160-168 10.1002/jmri.10351 12884327 1053-1807 https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.10351 Purpose: To improve the quantification of myocardial perfusion by registering the time series of magnetic resonance (MR) images with injection of gadolinium. Materials and methods: Eight patients underwent MR scans to perform myocardial perfusion exam. Two short axis views of the left ventricle (LV) were acquired in free breathing. Two masks for performing the spatial registration of the images were evaluated. The registration was based on pixel intensity in a multi-resolution scheme. The efficiency of this correction was evaluated by calculating geometric residual displacement of the LV and by fitting the data to a compartment model fit with two parameters: K1, the blood-to-myocardium transfer coefficient, and Vd, the distribution volume of the contrast media. Results: The registration stage allowed a decrease in the observed motion of the LV from more than 1.98 +/- 0.68 mm to less than 0.56 +/- 0.18 mm (mean +/- SD). Variability obtained in the perfusion analysis decreased from 46 +/- 103% to 5+/- 4% for K1 parameter and from 18 +/- 21% to 5 +/- 5% for Vd parameter. Conclusion: As with manual correction, this automatic motion correction leads to accurate perfusion parameters in dynamic cardiac MR imaging after contrast agent injection. This automatic stage requires placing only one mask over one frame of the perfusion study instead of manually shifting each image to fit a reference image of the perfusion study. Algorithms Coronary Circulation / physiology Gadolinium Heart / anatomy & histology Humans Image Processing, Computer-Assisted / methods Magnetic Resonance Imaging / methods Models, Theoretical Time Factors Dewey 616.0757 Swiss National Science Foundation Simultaneous quantification of perfusion and contraction in hibernating myocardium by magnetic resonance imaging 57020 CH Projects 62 Département de radiologie et informatique médicale 227 false 286 Imagerie cardiaque fonctionnelle 541 Journal of magnetic resonance imaging 18 2 c1eeecab-396b-4c63-a8a4-c4d05e90bc47 Article (Published version) Restricted Article-scientifique-from-unpaywall.pdf 998346 application/pdf 71b1d0098b4aaa1b340142d974ff5159ba8a4d46a027638d0b91832ae611e4db restrictedAccess Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

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Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm	Journal of magnetic resonance imaging			2003	89	0

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Thevenaz, Philippe Victor François