Time Resolution Improvement of MRI Temperature Monitoring Using Keyhole Method.
- Author:
Yong Hee HAN
1
;
Tae Hyung KIM
;
Song I CHUN
;
Dong Hyeuk KIM
;
Kwang Sig LEE
;
Choong Ki EUN
;
Jae Ryang JUN
;
Chi Woong MUN
Author Information
1. Department of Biomedical Engineering, Inje University, Gimhae, Gyeongnam, Republic of Korea. mcw@inje.edu
- Publication Type:Original Article
- Keywords:
Keyhole;
Temperature mapping;
Phase unwrapping;
Phase encoding;
Coaxial-slot antenna heating
- MeSH:
Hot Temperature;
Magnetics;
Magnets;
Microwaves;
Protons;
Sepharose;
Tarsus, Animal;
Thermography
- From:Journal of the Korean Society of Magnetic Resonance in Medicine
2009;13(1):31-39
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: This study proposes the keyhole method in order to improve the time resolution of the proton resonance frequency(PRF) MR temperature monitoring technique. The values of Root Mean Square (RMS) error of measured temperature value and Signal-to-Noise Ratio(SNR) obtained from the keyhole and full phase encoded temperature images were compared. MATERIALS AND METHODS: The PRF method combined with GRE sequence was used to get MR temperature images using a clinical 1.5T MR scanner. It was conducted on the tissue-mimic 2% agarose gel phantom and swine's hock tissue. A MR compatible coaxial slot antenna driven by microwave power generator at 2.45GHz was used to heat the object in the magnetic bore for 5 minutes followed by a sequential acquisition of MR raw data during 10 minutes of cooling period. The acquired raw data were transferred to PC after then the keyhole images were reconstructed by taking the central part of K-space data with 128, 64, 32 and 16 phase encoding lines while the remaining peripheral parts were taken from the 1st reference raw data. The RMS errors were compared with the 256 full encoded self-reference temperature image while the SNR values were compared with the zero filling images. RESULTS: As phase encoding number at the center part on the keyhole temperature images decreased to 128, 64, 32 and 16, the RMS errors of the measured temperature increased to 0.538, 0.712, 0.768 and 0.845degrees C, meanwhile SNR values were maintained as the phase encoding number of keyhole part is reduced. CONCLUSION: This study shows that the keyhole technique is successfully applied to temperature monitoring procedure to increases the temporal resolution by standardizing the matrix size, thus maintained the SNR values. In future, it is expected to implement the MR real time thermal imaging using keyhole method which is able to reduce the scan time with minimal thermal variations.
