Program Information
Development and Implementation of Task-Specific Modular Phantom for MRI Quality Evaluation
H Cho1*, C Hong2 , I Doh1 , B Ahn1 , (1) Korea Research Institute of Standards and Science, Daejeon, (2) Catholic University of Daegu, Gyeongsan-si, Gyeongsangbuk-do
Presentations
SU-F-I-22 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose:To investigate the potential of a newly developed modular phantom with image quality test structure for MRI quality control.
Methods:The modular phantom consists of individual basic mapping (BM) modules, image quality control (QC) modules, and accessories to improve combination variability for multipurpose use. BM modules were designed based on the stud-and-tube coupling system with an internal hollow and an individual enclosed structure. The QC modules include signal-to-noise ratio, image intensity uniformity, geometric accuracy, high-contrast spatial resolution, slice thickness accuracy, slice position accuracy and low-contrast object detectability evaluation test structure. The scanner performance on various coils were evaluated by using image QC module which inserted into BM module.
The MR data acquisition was performed using a 1.5 T MRI scanner (MAGNETOM ESSENZA, Siemens, Germany) with two coils, head and breast. The 2D SE T1 axial images of assembled QC modules, which are analogous to the ACR accreditation phantom were acquired in the head coil. We scanned BM modules and QC modules to evaluation off-center impact on the image quality in the breast coil. Oil-filled BM modules and QC modules designed to evaluate geometric accuracy and image intensity uniformity were used. The 2D TSE T2 weighted axial images and short-tau inversion recovery (STIR) image of modules were acquired in the breast coil.
Results:The evaluated MRI quality was acceptable according to the action criteria from the ACR. Due to non-uniformity across the breast coil, the residual fat contents were shown on the STIR image. For the uniformity of image intensity, the PIU was calculated as 89% in the STIR image.
Conclusion:The results showed the potential of the BM modules and image QC modules in a image quality control for MRI based on the ability of task-specific construction with modular manner.
Funding Support, Disclosures, and Conflict of Interest: This study was supported by the Medical Metrology Program at the Korea Research Institutes of Standards and Science (16011069).
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