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Phantom-Less Nonlinear Magnetic Resonance Imaging Calibration With Multiple Input Blood Flow Model.

Tomoki Saka1, Toshiyuki Gotoh2, Seiichiro Kagei2

  • 1Kanazawa Institute of Technology, Kanazawa, Japan.

Topics in Magnetic Resonance Imaging : TMRI
|February 3, 2023
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Summary
This summary is machine-generated.

Phantom-free nonlinear calibration accurately measures lung perfusion. This new method distinguishes pulmonary and bronchial artery contributions, crucial for lung cancer assessment.

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Area of Science:

  • Medical Imaging
  • Cardiovascular Physiology
  • Oncology

Background:

  • Traditional calibration methods for magnetic resonance imaging (MRI) signal intensity rely on phantoms.
  • These methods often fail to account for complex physiological factors like reperfusion, particularly relevant in lung cancer.

Purpose of the Study:

  • To develop a novel phantom-free nonlinear calibration technique for gadolinium contrast agents in MRI.
  • To introduce a single-input method robust against reperfusion and aliasing noise.
  • To formulate a multiple-input method capable of separately evaluating pulmonary and bronchial artery contributions to lung perfusion.

Main Methods:

  • Nonlinear calibration using minimum contrast agent mass variation in the pulmonary artery, left atrium, and aorta.
  • Comparison with 4D computed tomography (CT) using iodine contrast.
  • Validation in lung cancer patients.

Main Results:

  • Successful phantom-free nonlinear calibration within the range of phantom-based methods.
  • Accurate separation of pulmonary and bronchial artery contributions to lung perfusion.
  • Identification of high bronchial artery perfusion in lung cancer regions.

Conclusions:

  • Phantom-free nonlinear calibration of contrast agents is feasible.
  • The method allows for the distinct quantification of pulmonary artery and aorta contributions to lung perfusion.