Nuclear spin noise tomography in three dimensions with iterative simultaneous algebraic reconstruction technique...

Area of Science:

• Physics
• Chemistry
• Biomedical Engineering

Background:

• Conventional magnetic resonance imaging (MRI) relies on radiofrequency pulses.
• Previous two-dimensional spin noise imaging (SNI) demonstrated excitation-less magnetic resonance tomography.
• Nuclear spin noise spectroscopy has seen recent advancements in acquisition and processing.

Purpose of the Study:

• To report the development of three-dimensional spin noise imaging (SNI).
• To extend and improve upon existing two-dimensional SNI methods.
• To demonstrate a novel approach for excitation-less magnetic resonance tomography.

Main Methods:

• Acquisition of spin noise data using Faraday detection.
• Application of constant magnitude magnetic field gradients.
• Utilizing projection-reconstruction and iterative image reconstruction techniques.
• Demonstration on a commercial 700 MHz high-resolution NMR spectrometer.

Main Results:

• Successful three-dimensional spin noise imaging of nuclear spin density.
• Demonstration of a proof of principle for 3D SNI.
• Achieved adjustable trade-off between signal-to-noise ratio and resolution post-acquisition.
• Validated on a 3D-printed polymeric phantom immersed in water.

Conclusions:

• Three-dimensional spin noise imaging is a viable technique for nuclear spin density visualization.
• The developed method offers unique advantages over conventional MRI in image contrast and resolution adjustment.
• This work advances excitation-less magnetic resonance tomography using spin noise principles.