title: Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm.
abstract: OBJECTIVE
  To improve the quantification of myocardial perfusion by registering the time series of magnetic resonance (MR) images with injection of gadolinium.
  
  
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Digital Imaging Unit, Radiology Department, Geneva University Hospital, Geneva, Switzerland. christophe.dornier@dim.hcuge.ch
authors.forename: Christophe
authors.initials: C
authors.lastname: Dornier
authors.forename: Marko K
authors.initials: MK
authors.lastname: Ivancevic
authors.forename: Philippe
authors.initials: P
authors.lastname: Thévenaz
authors.forename: Jean-Paul
authors.initials: JP
authors.lastname: Vallée
mesh_terms: D000465:Algorithms; D003326:Coronary Circulation / Q000502:physiology*; D005682:Gadolinium; D006321:Heart / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D013997:Time Factors
chemical_list: D005682:Gadolinium