Abstract #3157

A novel T2 relaxation analysis method SAME-ECOS: Spectrum Analysis for Multiple Exponentials via Experimental Condition Oriented Simulation

Hanwen Liu^1,2, Qing-San Xiang^1,3, Roger Tam^3,4, Piotr Kozlowski³, David K.B. Li³, Alex L. MacKay^1,3, John K. Kramer^2,5, and Cornelia Laule^1,2,3,6

¹Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, ²International Collaboration on Repair Discoveries, Vancouver, BC, Canada, ³Radiology, University of British Columbia, Vancouver, BC, Canada, ⁴Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, ⁵Kinesiology, University of British Columbia, Vancouver, BC, Canada, ⁶Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

We propose a novel T₂ relaxation data analysis method called spectrum analysis for multiple exponentials via experimental condition oriented simulation (SAME-ECOS), which was developed based on a combination of information theory and deep learning neural network algorithms. SAME-ECOS is tailored for different MR experimental conditions to decompose the multi-exponential decay data into a T₂ spectrum, which has been considered an ill-posed problem using conventional fitting algorithms including the commonly used non-negative least squares (NNLS). Our results demonstrated that, compared with NNLS, SAME-ECOS can yield much more reliable T₂ spectra in a dramatically shorter time.

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