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Artifacts in T(1rho)-weighted imaging: correction with a self-compensating spin-locking pulse.
Sridhar R Charagundla1, Arijitt Borthakur, John S Leigh
1B1 Stellar-Chance Laboratories, MMRRCC, Department of Radiology, University of Pennsylvania, 422 Curie Boulevard, Philadelphia, PA 19104-6100, USA. Sridhar@mail.mmrrcc.upenn.edu
Summary
Magnetic Resonance Imaging (MRI) artifacts in T(1rho)-weighted imaging are reduced using a novel pulse sequence. This method improves quantitative T(1rho) measurements by maintaining signal uniformity despite flip angle variations.
Area of Science:
- Biomedical Imaging
- Magnetic Resonance Imaging (MRI)
- Quantitative Imaging
Background:
- T(1rho)-weighted imaging is susceptible to significant artifacts caused by deviations in nutation angles.
- These artifacts, dependent on spin-locking parameters, hinder accurate quantitative imaging and T(1rho) relaxation time measurements.
Purpose of the Study:
- To theoretically model and experimentally investigate artifacts in T(1rho)-weighted imaging.
- To develop and present a novel pulse sequence for artifact reduction in T(1rho)-weighted MRI.
Main Methods:
- Development of a theoretical model for T(1rho) artifacts within a T(1rho)-prepared fast spin-echo sequence.
- Experimental validation of the theoretical model, correlating artifacts with B(1) inhomogeneity.
- Introduction of a phase-shifted, self-compensating spin-locking pulse cluster.
Main Results:
- The theoretical model accurately explains the origin and behavior of T(1rho) imaging artifacts.
- Experimental results confirm the model's predictions and link artifacts to B(1) field variations.
- The self-compensating pulse sequence demonstrated robust signal intensity maintenance across varying flip angles.
Conclusions:
- The proposed self-compensating pulse sequence significantly reduces artifacts in T(1rho)-weighted MRI.
- This advancement facilitates more reliable quantitative T(1rho) measurements and improved imaging quality.
- The findings offer a practical solution for overcoming limitations in current T(1rho) imaging techniques.