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Abstract #3500

Continuous T2 Distribution Analysis using Artificial Neural Networks

Tristhal Parasram1, Rebecca Daoud1, and Dan Xiao1
1University of Windsor, Windsor, ON, Canada

Quantitative analysis of T2 relaxation times could reveal molecular scale information, and has significance in the study of brain, spinal cord, articular cartilage, and cancer discrimination. However, it is non-trivial to recover the relaxation times from MR signals, especially as a continuous distribution, since it is an intrinsically ill-posed problem. In this work, ANNs have been trained to generate the T2 distribution spectra. The performance was evaluated across a large parameter range. In addition to superior computation speed, higher accuracy was achieved compared to the traditional method.

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