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Abstract #4376

Increased accuracy in relaxometry estimates through statistical determination of the noise floor

Laurel Hales1, Ananya Goyal1, and Feliks Kogan1
1Radiology, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Cartilage, Relaxometry, low SNR

Including data below the noise floor in estimating relaxometry values leads to overestimation. It is possible to identify and remove data below the noise floor by considering the set of voxel data in an ROI at each echo time as a separate but related dataset, and then comparing the data from each echo time statistically. Removing data below the noise floor, reduces error in the estimates of relaxometry values.

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Keywords