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Updated: May 17, 2026
09:30
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Protocol optimization for MRI studies in radiation oncology: III. MRI relaxometry.
Yves De Deene1,2,3,4, Morgan J Wheatley2,3, Robba Rai1,2
1Cancer Therapy Centre, SWSLHD, Liverpool 2170 NSW, Australia.
Physics in Medicine and Biology
|May 15, 2026
Summary
Quantitative T1 and T2 mapping for radiotherapy faces challenges due to data variability. This study introduces improved fitting methods for T1 and T2 maps, enhancing reliability and reducing bias across different scanners.
Area of Science:
- Magnetic Resonance Imaging
- Medical Physics
- Radiotherapy
Background:
- Quantitative T1 and T2 mapping are crucial for radiotherapy biomarkers.
- Current methods exhibit significant bias and variability across centers and scanners.
- This limits their clinical adoption.
Purpose of the Study:
- To address the variability in T1 and T2 map acquisition.
- To propose modified fitting methods for improved accuracy and reproducibility.
- To optimize imaging parameters for reduced uncertainty.
Main Methods:
- Investigated T1 fitting dependence on flip angles and proposed a modified signal equation.
- Evaluated mono-exponential vs. bi-exponential fitting for T2 mapping.
- Utilized numerical simulations to determine optimal imaging parameters.
Main Results:
- A modified T1 fitting method significantly reduces flip angle dependence.
- Bi-exponential fitting for T2 maps yields more reliable and reproducible results with distinct physiological features.
- Numerical simulations identified optimal parameter ranges for minimizing uncertainty.
Conclusions:
- Improved T1 and T2 mapping methods enhance quantitative accuracy and reproducibility.
- Bi-exponential fitting is superior to mono-exponential for T2 mapping in biological tissues.
- These advancements facilitate the clinical uptake of T1 and T2 maps as reliable biomarkers.
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