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Abstract #2912

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

Alessandro Arduino1, Stefano Mandija2,3, Francesca Pennecchi1, Cornelis A. T. Van Den Berg2,3, 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


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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