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Abstract #5135

Signal-to-Noise Assessment for Diffusion Tensor Imaging of Muscles Using Single Data Set

Zhiyue J. Wang1,2, Jin Yamamura3, and Sarah Keller3

1University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Children's Medical Center, Dallas, TX, United States, 3University Medical Center Hamburg-Eppendorf, Hamburg, Germany

The DTI metric are prone to bias if the SNR is too low, such as in muscular dystrophies where fat infiltration decreases the partial volume of the muscle. DTI is usually acquired using parallel imaging so the noise level from the background air space is unreliable for SNR assessment. SNR can be measured using a difference image method from 2 image sets acquired repeatedly, but in many studies only one data set is acquired. Here high-pass k-space filtering method for measuring SNR of muscle DTI from single data set was optimized using a difference image method as reference.

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