Publications by authors named "Sajad Mohammed Ali"
Article Synopsis
- Dynamic glucose enhanced (DGE) MRI, using techniques like CEST or CESL, aims to analyze glucose uptake but faces challenges with low sensitivity and motion artifacts.
- The new method proposed, called DS-DGE MRI, leverages linewidth broadening in water saturation spectra during glucose infusion to improve measurements.
- Initial tests on brain tumor patients show that DS-DGE MRI produces detailed area-under-the-curve maps that effectively highlight tumor regions, indicating its potential over existing imaging techniques.
Purpose: Water saturation shift referencing (WASSR) Z-spectra are used commonly for field referencing in chemical exchange saturation transfer (CEST) MRI. However, their analysis using least-squares (LS) Lorentzian fitting is time-consuming and prone to errors because of the unavoidable noise in vivo. A deep learning-based single Lorentzian Fitting Network (sLoFNet) is proposed to overcome these shortcomings.
View Article and Find Full Text PDF