Towards Co-Registration of MR Images with MW System via Qualitative Inverse Scattering

The paper proposes a new procedure to co-register a magnetic resonance image with a microwave system. The procedure allows the extraction of prior information from MRI images to be used in biomedical microwave imaging and hyperthermia treatment planning. The tests are performed against microwave experimental data collected at the Electromagnetic Imaging Laboratory of the University of Manitoba.

Authors

Tommaso Isernia (ORCID: https://orcid.org/0000-0003-3830-9540)
V. Pascazio
Martina T. Bevacqua (ORCID: https://orcid.org/0000-0001-6557-1283)
Joe LoVetri (ORCID: https://orcid.org/0000-0001-9882-0004)
Michele Ambrosanio (ORCID: https://orcid.org/0000-0003-3669-8183)

Institutions

Parthenope University of Naples (IT)
University of Manitoba (CA)
University of Reggio Calabria (IT)

Publication Details

Published: 2025-03-30
DOI: https://doi.org/10.23919/eucap63536.2025.10999331
Primary Topic: Advanced MRI Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Towards Co-Registration of MR Images with MW System via Qualitative Inverse Scattering

Tommaso Isernia, V. Pascazio, Martina T. Bevacqua, Joe LoVetri et al.

Mar 30, 2025

Advanced MRI Techniques and Applications

article

Towards Co-Registration of MR Images with MW System via Qualitative Inverse Scattering

Tommaso Isernia, V. Pascazio, Martina T. Bevacqua, Joe LoVetri, Michele Ambrosanio

March 30, 2025article en

Abstract

The paper proposes a new procedure to co-register a magnetic resonance image with a microwave system. The procedure allows the extraction of prior information from MRI images to be used in biomedical microwave imaging and hyperthermia treatment planning. The tests are performed against microwave experimental data collected at the Electromagnetic Imaging Laboratory of the University of Manitoba.

Parthenope University of Naples (IT), University of Manitoba (CA), University of Reggio Calabria (IT)

Openalex Percentile: Top 83%

Advanced MRI Techniques and Applications

DOI Source OpenAlex

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