Accuracy and Uncertainty of Asymmetric Magnetization Transfer Ratio Quantification for Amide Proton Transfer (APT) Imaging at 3T: A Monte Carlo Study
Refereed conference paper presented and published in conference proceedings
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AbstractAmide 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.
All Author(s) ListYuan J, Zhang QW, Wang YX, Wei J, Zhou JY
Name of Conference35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
Start Date of Conference03/07/2013
End Date of Conference07/07/2013
Place of ConferenceOsaka
Country/Region of ConferenceJapan
Journal nameConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Detailed descriptionorganized by IEEE, EMB, JSMBE,
Year2013
Month1
Day1
PublisherIEEE
Pages5139 - 5142
eISBN978-1-4577-0216-7
ISSN1557-170X
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesEngineering; Engineering, Biomedical; Engineering, Electrical & Electronic
