Abstract
Abstract
The purpose of this study is to demonstrate the first work of T
1-based magnetic resonance thermometry using magnetic resonance fingerprinting (dubbed MRFT). We compared temperature estimation of MRFT with proton resonance frequency shift (PRFS) thermometry on ex vivo bovine muscle. We demonstrated MRFT’s feasibility in predicting temperature on ex vivo bovine muscles with deep brain stimulation (DBS) lead. B
0 maps generated from MRFT were compared with gold standard B
0 maps near the DBS lead. MRFT and PRFS estimated temperatures were compared in the presence of motion. All experiments were performed on a 3 Tesla whole-body GE Premier system with a 21-channel receive head coil (GE Healthcare, Milwaukee, WI). Four fluoroptic probes were used to measure the temperature at the center of a cold muscle (probe 1), the room temperature water bottle (probe 2), and the center and periphery of the heated muscle (probes 3 and 4). We selected regions of interest (ROIs) around the location of the probes and used simple linear regression to generate the temperature sensitivity calibration equations that convert T
1 maps and Δs maps to temperature maps. We then repeated the same setup and compared MRFT and PRFS thermometry temperature estimation with gold standard probe measurements. For the MRFT experiment on DBS lead, we taped the probe to the tip of the DBS lead and used a turbo spin echo sequence to induce heating near the lead. We selected ROIs around the tip of the lead to compare MRFT temperature estimation with probe measurements and compared with PRFS temperature estimation. Vendor-supplied B
0 mapping sequence was acquired to compare with MRFT-generated B
0 maps. We found strong linear relationships (R
2 > 0.958) between T
1 and temperature and Δs and temperatures in our temperature sensitivity calibration experiment. MRFT and PRFS thermometry both accurately predict temperature (RMSE < 1.55 °C) compared to probe measurements. MRFT estimated temperature near DBS lead has a similar trend as the probe temperature. Both B
0 maps show inhomogeneities around the lead. MRFT estimated temperature is less sensitive to motion.
Subject
Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference46 articles.
1. Magnetic resonance fingerprinting reconstruction via spatiotemporal convolutional neural networks;Balsiger,2018
2. T 1 and T 2 temperature dependence of female human breast adipose tissue at 1.5 T: groundwork for monitoring thermal therapies in the breast;Baron;NMR Biomed.,2015
3. A review of normal tissue hydrogen NMR relaxation times and relaxation mechanisms from 1-100 MHz: dependence on tissue type, NMR frequency, temperature, species, excision, and age;Bottomley;Med. Phys.,1984
4. Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T;Buonincontri;Neuroimage,2019
5. MR fingerprinting with simultaneous B1 estimation;Buonincontri;Magn. Reson. Med.,2016