Abstract #3458

Quantitative evaluation of apparent diffusion coefficient in a large multi-unit institution using QIBA diffusion phantom

Joshua Yung¹, Yao Ding¹, Ken-Pin Hwang¹, Carlos E Cardenas^2,3, Hua Ai¹, Michael A Boss⁴, Thomas L Chenevert⁵, Clifton Fuller⁶, and R Jason Stafford¹

¹Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ³The University of Texas Graduate School of Biomedical Sciences, Houston, TX, United States, ⁴Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, CO, United States, ⁵Radiology, University of Michigan, Ann Arbor, MI, United States, ⁶Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

The purpose of this study was to determine the quantitative variability of apparent diffusion coefficient values across a large fleet of MR systems. Using a NIST traceable magnetic resonance imaging diffusion phantom, imaging was reproducible and the measurements were quantitatively compared to known values. Significant differences in identical phantoms were not observed, but uncertainty in the measurements was seen at low apparent diffusion coefficient values. The same trend was observed when the diffusion phantoms were imaged in 20 different MR systems. The characterization of ADC variability for these systems provides an improved quality control for quantitative diffusion weighted imaging.

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