Title :
Accuracy and uncertainty of asymmetric magnetization transfer ratio quantification for amide proton transfer (APT) imaging at 3T: A Monte Carlo study
Author :
Jing Yuan ; Qinwei Zhang ; Yi-Xiang Wang ; Juan Wei ; Jinyuan Zhou
Author_Institution :
Dept. of Imaging & Interventional Radiol., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
Amide proton transfer (APT) imaging offers a novel and powerful MRI contrast mechanism for quantitative molecular imaging based on the principle of chemical exchange saturation transfer (CEST). Asymmetric magnetization transfer ratio (MTRasym) quantification is crucial for Z-spectrum analysis of APT imaging, but is still challenging, particularly at clinical field strength. This paper studies the accuracy and uncertainty in the quantification of MTRasym for APT imaging at 3T, by using high-order polynomial fitting of Z-spectrum through Monte Carlo simulation. Results show that polynomial fitting is a biased estimator that consistently underestimates MTRasym. For a fixed polynomial order, the accuracy of MTRasym is almost constant with regard to signal-to-noise ratio (SNR) while the uncertainty decreases exponentially with SNR. The higher order polynomial fitting increases both the accuracy and the uncertainty of MTRasym. For different APT signal intensity levels, the relative accuracy and the absolute uncertainty keep constant for a fixed polynomial order. These results indicate the limitations and pitfalls of polynomial fitting for MTRasym quantification so better quantification technique for MTRasym estimation is warranted.
Keywords :
Monte Carlo methods; biomedical MRI; chemical exchanges; magnetisation; medical image processing; APT imaging; APT signal intensity level; CEST; MRI contrast mechanism; MTRasym quantification accuracy; MTRasym quantification uncertainty; MTRasym underestimation; Monte Carlo simulation; SNR; Z-spectrum analysis; amide proton transfer imaging; asymmetric magnetization transfer ratio quantification; biased estimator; chemical exchange saturation transfer; clinical field strength; fixed polynomial order; high-order polynomial fitting; magnetic flux density 3 T; polynomial fitting limitation; polynomial fitting pitfall; quantitative molecular imaging; signal-to-noise ratio; Accuracy; Fitting; Imaging; Polynomials; Protons; Signal to noise ratio; Uncertainty;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610705