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Correcting partial volume effects in biexponential T2 estimation of small lesions
Chuan Huang1, Jean-Philippe Galons, Christian G Graff
1Department of Mathematics, University of Arizona, Tucson, Arizona, USA; Department of Imaging, Center for Advanced Medical Imaging Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Magnetic Resonance in Medicine
|April 23, 2014
Summary
A new joint biexponential fitting (JBF) method improves T2 mapping accuracy for small liver lesions by correcting partial volume effects (PVE). This robust technique enhances lesion characterization, even with noisy data.
Area of Science:
- Medical Imaging
- Quantitative MRI
- Biophysics
Background:
- T2 mapping offers quantitative analysis of focal liver lesions.
- Partial volume effects (PVE) complicate characterization of small lesions.
- Conventional biexponential fitting is sensitive to noise, leading to parameter uncertainty.
Purpose of the Study:
- Develop a robust method to correct PVE in small liver lesions.
- Improve accuracy and precision of T2 estimates for focal liver lesions.
- Enhance characterization of small abdominal lesions using T2 mapping.
Main Methods:
- Developed a region of interest-based joint biexponential fitting (JBF) algorithm.
- Utilized lesion fraction variation across voxels within a region of interest.
- Compared JBF with conventional methods using simulations, phantom, and in vivo data.
Main Results:
- JBF demonstrated more accurate and precise T2 estimates in the presence of PVE.
- JBF showed reduced sensitivity to region of interest delineation.
- Combined JBF with reconstruction for undersampled data, enabling single breath-hold acquisition.
Conclusions:
- JBF provides superior T2 estimates for small structures with PVE compared to traditional methods.
- The JBF algorithm enhances the stability and accuracy of T2 mapping.
- JBF is particularly beneficial for characterizing small abdominal lesions.
