Accelerated positive contrast MRI of interventional devices using parallel compressed sensing imaging

Area of Science:

• Medical Imaging
• Magnetic Resonance Imaging
• Biomedical Engineering

Background:

• Susceptibility-based MRI offers positive contrast imaging for MR-compatible devices.
• Current limitations include long data acquisition times, hindering clinical use.
• Accelerated imaging is crucial for practical applications of this technique.

Purpose of the Study:

• To develop and validate an accelerated data acquisition technique for susceptibility-based positive contrast MRI.
• To improve the speed of imaging small MR-compatible interventional devices.
• To maintain image quality while reducing scan time.

Main Methods:

• Integration of parallel compressive sensing with a modified fast spin echo sequence.
• Utilized generalized autocalibrating partially parallel acquisitions (GOPAPA) within the reconstruction algorithm.
• Employed compressive sensing (CS) techniques for accelerated data reconstruction.

Main Results:

• Achieved a data acquisition acceleration factor of approximately five.
• Successfully preserved the positive contrast and image quality of interventional devices.
• Validated the technique using phantoms with biopsy needles, stents, and brachytherapy seeds.

Conclusions:

• The proposed parallel compressive sensing technique significantly accelerates susceptibility-based positive contrast MRI.
• This method enables faster and more practical imaging of MR-compatible interventional devices.
• The technique shows promise for enhancing the clinical utility of positive contrast MRI.