EN
TR
Computational investigation of fitting for calculation of signal dynamics from hyperpolarized xenon-129 Gas MRI
Abstract
Aim: Computational fitting methods were investigated to determine the most accurate fitting approach for the calculation of dynamic hyperpolarized MRI parameters.
Materials and Methods: The signal decay of a time-series Hyperpolarized xenon gas MRI phantom was fitted to Bloch equations using three methods varying the fitting parameters for calculation of flip angle, α, and longitudinal relaxation time, T1. The first fitting method used an initial calculation of α before the fitting process. The second and third techniques used direct fitting of signal decay equations with and without upper-lower boundaries for calculation of α, and T1. Wilcoxon signed-rank test was used to investigate the statistical significance of the calculated parameters.
Results: The first approach was the most accurate fitting technique that allowed direct calculation of α=8.65° in agreement to the third approach α=8.73±0.78°, 8.75±0.12°, 8.67±0.05°. Additionally, the standard deviation of the calculated T1 was lower than 1% (T1=103.2±0.04s) which was significantly more accurate than the second method (T1=90±30.2s and 135.7±10.3s) and the third method (T1=101.4±5.1s and 113.5±16.1s).
Conclusion: The first technique provides repeatable and reliable calculation of signal decay parameters including α and T1 from the dynamic hyperpolarized gas MR images and more accurate than direct fitting methods.
Keywords
Supporting Institution
TUBITAK
References
- Matin TN, Rahman N, Nickol AH, et al. Chronic Obstructive Pulmonary Disease: Lobar Analysis with Hyperpolarized 129Xe MR Imaging. Radiology. 2017; 282: 857-68.
- Chen M, Doganay O, Matin T, et al. Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging. Eur Radiol. 2019.
- Qing K, Tustison NJ, Mugler JP, 3rd, et al. Probing Changes in Lung Physiology in COPD Using CT, Perfusion MRI, and Hyperpolarized Xenon-129 MRI. Acad Radiol. 2019; 26: 326-34.
- He M, Driehuys B, Que LG, Huang YT. Using Hyperpolarized 129Xe MRI to Quantify the Pulmonary Ventilation Distribution. Acad Radiol. 2016; 23: 1521-31.
- Svenningsen S, Guo F, Kirby M, et al. Pulmonary functional magnetic resonance imaging: asthma temporal-spatial maps. Acad Radiol. 2014; 21: 1402-10.
- Shukla Y, Wheatley A, Kirby M, et al. Hyperpolarized 129Xe magnetic resonance imaging: tolerability in healthy volunteers and subjects with pulmonary disease. Acad Radiol. 2012; 19: 941-51.
- Wild JM. Imaging pathophysiological changes in the lungs in IPF with xenon magnetic resonance imaging. Thorax. 2018; 73:1.
- Mammarappallil JG, Rankine L, Wild JM, Driehuys B. New Developments in Imaging Idiopathic Pulmonary Fibrosis With Hyperpolarized Xenon Magnetic Resonance Imaging. J Thorac Imaging. 2019; 34: 136-50.
Details
Primary Language
English
Subjects
Health Care Administration
Journal Section
Research Article
Authors
Özkan Doğanay
*
0000-0002-5945-2090
Türkiye
Publication Date
March 15, 2022
Submission Date
April 27, 2021
Acceptance Date
August 19, 2021
Published in Issue
Year 1970 Volume: 61 Number: 1