New criteria for assessing fit quality in dynamic contrast-enhanced T1-weighted MRI for perfusion and permeability imaging.
Contrast-enhanced (CE) MRI provides in vivo physiological information that cannot be obtained by conventional imaging methods. This information is generally extracted by using models to represent the circulation of contrast agent in the body. However, the results depend on the quality of the fit obtained with the chosen model. Therefore, one must check the fit quality to avoid working on physiologically irrelevant parameters. In this study two dimensionless criteria-the fraction of modeling information (FMI) and the fraction of residual information (FRI)-are proposed to identify errors caused by poor fit. These are compared with more conventional criteria, namely the quadratic error and the correlation coefficient, both theoretically and with the use of simulated and real CE-MRI data. The results indicate the superiority of the new criteria. It is also shown that these new criteria can be used to detect oversimplified models.
Balvay
Daniel
D
U678 INSERM/UPMC, APHP, CHU Pitié Salpêtrière, Paris, France. balvay@imed.jussieu.fr
Frouin
Frédérique
F
Calmon
Guillaume
G
Bessoud
Bertrand
B
Kahn
Edmond
E
Siauve
Nathalie
N
Clément
Olivier
O
Cuenod
Charles A
CA
D000465:Algorithms; D000818:Animals; D016477:Artifacts; D002199:Capillary Permeability / Q000502:physiology*; D003198:Computer Simulation; D003287:Contrast Media; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008833:Microcirculation / Q000166:cytology* / Q000502:physiology*; D008954:Models, Biological; D015233:Models, Statistical; D011786:Quality Control; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
D003287:Contrast Media