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Abstract #3919

Empirically determined spatial properties of noise in prostate diffusion weighted imaging

Milica Medved1,2, Aritrick Chatterjee1,2, Batuhan Gundogdu1,2, Aytekin Oto1,2, and Gregory S Karczmar1,2
1Radiology, The University of Chicago, Chicago, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, The University of Chicago, Chicago, IL, United States

Synopsis

Keywords: Simulation/Validation, Cancer, Noise

Motivation: Development of quantitative QC methods for prostate DWI is important in clinical practice, necessitating reliable estimates of spatially heterogenous noise.

Goal(s): To demonstrate a method for empirical noise measurement and examine suitability of several regions of interest for DW image-based noise estimation.

Approach: In data obtained at 3T with an endo-rectal coil, we use raw noise measurements to simulate pure-noise k-space datasets that are post-processed to yield noise maps.

Results: Good agreement is found between noise levels measured from noise maps in the prostate and the estimates of noise produced from the internal obturator muscles and bladder ROIs in high b-value DWI.

Impact: In prostate DWI, the internal obturator muscle and bladder regions in the high b-value images can be used to estimate noise levels in the prostate tissue with low bias. This can facilitate development of quantitative QC for prostate DWI.

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Keywords