title: Factor analysis of medical image sequences improves evaluation of first-pass MR imaging acquisitions for myocardial perfusion.
abstract: OBJECTIVE
  Factor analysis of medical image sequences (FAMIS) applied to gadolinium chelate-enhanced subsecond magnetic resonance (MR) imaging was evaluated as a postprocessing method for assessing myocardial perfusion in coronary artery disease (CAD).
  
  
  METHODS
  To assess the accuracy of motion correction, five normal volunteers underwent MR imaging at rest. Thirteen patients with well-documented CAD and no myocardial infarction underwent MR imaging at rest and after dipyridamole administration. After motion correction, a single myocardial tissue factor (FAMISt) image was obtained with FAMIS for each raw MR imaging series acquisition. To evaluate how FAMIS could improve the analysis of these acquisitions, five readers visually assessed myocardial perfusion with FAMISt and raw MR images, and a multicase, multireader receiver operating characteristic analysis was performed.
  
  
  RESULTS
  FAMISt images significantly improved detection of the perfusion defects when compared with raw MR images (P = .002). Areas under the receiver operating characteristic curves ranged from 0.84 to 0.93 with FAMISt images and from 0.48 to 0.85 with raw MR images.
  
  
  CONCLUSIONS
  FAMIS applied to first-pass MR imaging series provided myocardial perfusion images that improve the objective assessment of myocardial perfusion in patients with CAD.
authors.affiliation: From the Centre d'Exploration et de Recherche Médicales par Emission de Positons, Hôpital Cardio-Vasculaire et Pneumologique, Lyon, France.
authors.forename: Marc F
authors.initials: MF
authors.lastname: Janier
authors.forename: Alejandro N
authors.initials: AN
authors.lastname: Mazzadi
authors.forename: Martine
authors.initials: M
authors.lastname: Lionnet
authors.forename: Frédérique
authors.initials: F
authors.lastname: Frouin
authors.forename: Xavier
authors.initials: X
authors.lastname: André-Fouët
authors.forename: Luc
authors.initials: L
authors.lastname: Cinotti
authors.forename: Didier
authors.initials: D
authors.lastname: Revel
authors.forename: Pierre
authors.initials: P
authors.lastname: Croisille
mesh_terms: D000328:Adult; D000368:Aged; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000503:physiopathology; D003326:Coronary Circulation / Q000187:drug effects / Q000502:physiology*; D003331:Coronary Vessels / Q000000981:diagnostic imaging; D004176:Dipyridamole / Q000627:therapeutic use; D005163:Factor Analysis, Statistical; D005260:Female; D005682:Gadolinium; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D010865:Pilot Projects; D012372:ROC Curve; D011877:Radionuclide Imaging; D014665:Vasodilator Agents / Q000627:therapeutic use
chemical_list: D014665:Vasodilator Agents; D004176:Dipyridamole; D005682:Gadolinium