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A Framework for Predicting X-Nuclei Transmitter Gain Using 1H Signal.
Michael Vaeggemose1,2, Rolf F Schulte3, Esben S S Hansen2
1GE HealthCare, 2605 Brondby, Denmark.
Tomography (Ann Arbor, Mich.)
|September 22, 2023
Summary
Accurate X-nuclear transmit gain can be predicted using proton imaging data, simplifying hyperpolarized MRI scans. This method avoids time-consuming calibrations for sodium, carbon, and xenon imaging.
Area of Science:
- Magnetic Resonance Imaging
- Nuclear Magnetic Resonance Spectroscopy
Background:
- Commercial MRI scanners are optimized for proton (¹H) imaging, with prescan calibration algorithms not ideal for X-nuclear applications.
- Hyperpolarized (HP) experiments present unique challenges due to rapidly decaying magnetization, complicating traditional calibration methods.
Purpose of the Study:
- To investigate if simple linear regression can accurately predict X-nuclear transmit gain using concurrently acquired proton body coil data.
- To determine if this prediction method is viable despite complex coil loading and spatial variations in MRI.
Main Methods:
- Collected data from 156 scan visits across two sites, including studies on sodium (²³Na), hyperpolarized carbon (¹³C), and hyperpolarized xenon (¹²⁹Xe).
- Applied simple linear regression to predict X-nuclear transmit gain based on position and proton gain data.
Main Results:
- Demonstrated that simple linear regression accurately predicts transmit gain for sodium, carbon, and xenon.
- Observed prediction variability was less than intrasubject variability, indicating high reliability.
Conclusions:
- Sites conducting multinuclear MRI studies can infer X-nuclear transmit gain from proton data.
- This approach eliminates the need for separate, time-consuming X-nuclear reference power calibrations, streamlining HP-MRI workflows.
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