Preliminary Study on the MR Temperature Mapping using Center Array-Sequencing Phase Unwrapping Algorithm.
- Author:
Kee Chin TAN
1
;
Tae Hyung KIM
;
Song I CHUN
;
Yong Hee HAN
;
Ki Seung CHOI
;
Kwang Sig LEE
;
Jae Ryang JUN
;
Choong Ki EUN
;
Chi Woong MUN
Author Information
1. Department of Biomedical Engineering, Inje University, Gimhae, Gyeongnam, Korea. mcw@inje.ac.kr
- Publication Type:Original Article
- Keywords:
MR phase image;
Image processing;
Phase Unwrapping (PU);
MR temperature mapping
- MeSH:
Artifacts;
Citrus sinensis;
Computer Simulation;
Heating;
Hot Temperature;
Knee;
Magnetic Resonance Spectroscopy;
Protons;
Sepharose;
Thermography;
Thermometry;
Water
- From:Journal of the Korean Society of Magnetic Resonance in Medicine
2008;12(2):131-141
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: To investigate the feasibility and accuracy of Proton Resonance Frequency (PRF) shift based magnetic resonance (MR) temperature mapping utilizing the selfdeveloped center array-sequencing phase unwrapping (PU) method for non-invasive temperature monitoring. MATERIALS AND METHODS: The computer simulation was done on the PU algorithm for performance evaluation before further application to MR thermometry. The MR experiments were conducted in two approaches namely PU experiment, and temperature mapping experiment based on the PU technique with all the image postprocessing implemented in MATLAB. A 1.5T MR scanner employing a knee coil with T2* GRE (Gradient Recalled Echo) pulse sequence were used throughout the experiments. Various subjects such as water phantom, orange, and agarose gel phantom were used for the assessment of the self-developed PU algorithm. The MR temperature mapping experiment was initially attempted on the agarose gel phantom only with the application of a custom-made thermoregulating water pump as the heating source. Heat was generated to the phantom via hot water circulation whilst temperature variation was observed with T-type thermocouple. The PU program was implemented on the reconstructed wrapped phase images prior to map the temperature distribution of subjects. As the temperature change is directly proportional to the phase difference map, the absolute temperature could be estimated from the summation of the computed temperature difference with the measured ambient temperature of subjects. RESULTS: The PU technique successfully recovered and removed the phase wrapping artifacts on MR phase images with various subjects by producing a smooth and continuous phase map thus producing a more reliable temperature map. CONCLUSION: This work presented a rapid, and robust self-developed center arraysequencing PU algorithm feasible for the application of MR temperature mapping according to the PRF phase shift property.
