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Abstract #1277

Dynamic 3D Thermometry in Moving Tissue using Accelerated Stack-of-Radial MRI and an Image-Navigated Multi-Baseline PRF Method

Qing Dai1, Shu-Fu Shih1, Omar Z. Curiel2, Jason Chiang1, David S. K. Lu1, Tsu-Chin Tsao2, and Holden H. Wu1
1Radiology, University of California, Los Aneles, Los Angeles, CA, United States, 2Mechanical And Aerospace Engineering, University of California, Los Aneles, Los Angeles, CA, United States

Synopsis

Keywords: Thermometry/Thermotherapy, MR-Guided Interventions, Liver, Motion Correction, Radial MRI, Focused Ultrasound

Motivation: MRI thermometry faces challenges in moving tissues: intra- and inter-scan motion, limited spatio-temporal resolution, and constrained spatial coverage. These obstacles result in temperature mis-calculations, compromising treatment safety and efficacy.

Goal(s): To develop an image-navigated 3D thermometry method to simultaneously track respiratory motion and temperature in moving tissue.

Approach: A stack-of-radial sequence was combined with compressed sensing reconstruction to obtain dynamic 3D images. An image-navigated multi-baseline proton resonance frequency shift (PRF) method was developed to generate motion-resolved temperature maps with tissue tracking.

Results: The proposed method achieved 24-30 slice coverage with a temporal resolution <1 second/volume and mean absolute error <2 degrees during motion.

Impact: The proposed method could improve the safety and efficacy of MRI-guided thermal therapies through reliable temperature monitoring in moving tissues. The capability to simultaneously track motion and temperature evolution enables feedback control, including focused ultrasound beam steering in moving organs.

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Keywords