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Abstract #3466

Can an Adapted SEM Accurately Deliver 129Xe MRI-based Lung Morphometry Estimates

Elise Noelle Woodward1, Matthew S Fox1,2, David G McCormack3, Grace Parraga3,4,5, and Alexei Ouriadov1,2
1Physics and Astronomy, Western University, London, ON, Canada, 2Lawson Health Research Centre, London, ON, Canada, 3Department of Medicine, Respiratory, Western University, London, ON, Canada, 4Robarts Research institute, London, ON, Canada, 5Medical Biophysics, Western University, London, ON, Canada

We hypothesize that the SEM equation can be adapted for fitting the spin-density dependence of the MR signal similar to fitting the time or b-value dependences: Signal=exp[-(nr)^β], where 0<β<1, n is an image number and r is the fractional spin-density. Such an approach permits consideration of the signal intensity variation as reflection of the underlying spin-density variation and hence, reconstruction of the under-sampled k-space using the adapted SEM equation. In this proof-of-concept evaluation, we have demonstrated the feasibility of this approach in a small group of patients. Lung SV/ADC/morphometry/T2* maps have been generated using reconstructed images and their corresponding weighing.

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