Abstract #3466

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

Elise Noelle Woodward¹, Matthew S Fox^1,2, David G McCormack³, Grace Parraga^3,4,5, and Alexei Ouriadov^1,2

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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