TY - JOUR
T1 - Analysis of signal to noise ratio from 1.5 tesla MRI head coil phantom image on daily quality assurance
AU - Maslebu, G.
AU - Kusrini, E. S.D.
AU - Setiawan, A.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/6/22
Y1 - 2020/6/22
N2 - Signal to Noise Ratio (SNR) is one of the quality control tests for most diagnostic imaging modality, including Magnetic Resonance Imaging (MRI). This study used MRI 1.5T GE Signa Creator type and head coil phantom with variations of Echo Time (TE), Repetition Time (TR), voxel volume and flip angle. 16 data images were obtained from the acquisition process. These images were analyzed using image processing software to calculate the SNR value. It results in four data distribution with the highest value of 36.98 and the lowest value of 32.64. The graphs of voxel volume versus SNR also formed four groups of data with an overall value above SNR baseline value for daily operation.
AB - Signal to Noise Ratio (SNR) is one of the quality control tests for most diagnostic imaging modality, including Magnetic Resonance Imaging (MRI). This study used MRI 1.5T GE Signa Creator type and head coil phantom with variations of Echo Time (TE), Repetition Time (TR), voxel volume and flip angle. 16 data images were obtained from the acquisition process. These images were analyzed using image processing software to calculate the SNR value. It results in four data distribution with the highest value of 36.98 and the lowest value of 32.64. The graphs of voxel volume versus SNR also formed four groups of data with an overall value above SNR baseline value for daily operation.
UR - http://www.scopus.com/inward/record.url?scp=85087515112&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1524/1/012026
DO - 10.1088/1742-6596/1524/1/012026
M3 - Conference article
AN - SCOPUS:85087515112
SN - 1742-6588
VL - 1524
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012026
T2 - 9th International Seminar on New Paradigm and Innovation of Natural Sciences and Its Application, ISNPINSA 2019
Y2 - 22 October 2019
ER -