Abstract #2912

Automatic selection of the optimal kernel size for Helmholtz-based EPT

Alessandro Arduino¹, Stefano Mandija^2,3, Francesca Pennecchi¹, Cornelis A. T. Van Den Berg^2,3, and Luca Zilberti¹

¹Istituto Nazionale di Ricerca Metrologica (INRiM), Torino, Italy, ²Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, ³Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands

Synopsis

In this work, a procedure for the automatic selection of the optimal kernel size in Helmholtz-based electric properties tomography (MR-EPT) with phase-based approximation is presented and tested on experimental data acquired on a phantom with a 3 T MRI scanner. The procedure is exclusively based on the map of the transceive phase, making no assumptions on the data in addition to those used in the derivation of the Helmholtz-based MR-EPT technique. As a by-product, the approach provides a map indicating the reliability of the reconstructed electric conductivity pixel-by-pixel.

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