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A computer algorithm for the simulation of any nuclear magnetic resonance (NMR) imaging method
Magnetic Resonance Imaging
|January 1, 1984
Summary
A novel computer program simulates Nuclear Magnetic Resonance (NMR) imaging techniques by solving Bloch equations. This tool aids in understanding image distortions and optimizing NMR imaging parameters for better contrast.
Area of Science:
- Medical Imaging
- Computational Physics
- Biophysics
Background:
- Numerous Nuclear Magnetic Resonance (NMR) imaging methods exist, employing diverse pulse sequences, gradient variations, and data processing techniques.
- A comprehensive theoretical understanding across these varied methods is challenging due to their complexity.
Purpose of the Study:
- To develop a generalized computer program for simulating Nuclear Magnetic Resonance (NMR) imaging techniques.
- To provide a theoretical framework for understanding NMR imaging under various experimental conditions.
Main Methods:
- The algorithm solves the Bloch equations at each point within a simulated object.
- It computes and stores the direction of elementary magnetic moments over time to generate the global signal.
- The simulation accommodates any pulse and gradient sequence.
Main Results:
- The program's validity was confirmed by simulating well-established experimental NMR imaging results.
- Applications demonstrate its utility in analyzing image distortions and specific techniques like selective radio-frequency pulses and oscillating gradients.
Conclusions:
- The simulation program offers a "microscopic" view of NMR imaging experiments.
- It can elucidate physical and technological causes of image distortions.
- It facilitates the study of contrast variations based on hydrogen nuclei density (rho) and relaxation times (T1, T2).