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Biomedical imaging via wavelet-based regularization and distorted iterated virtual experiments

Authors :
Palmeri, R.
Bevacqua, M. T.
Scapaticci, R.
Morabito, A. F.
Crocco, L.
Isernia, T.
Source :
International Conference on Electromagnetics in Advanced Applications-ICEAA 2017, pp. 1381–1384, Verona, 11, info:cnr-pdr/source/autori:Palmeri, R.; Bevacqua, M. T.; Scapaticci, R.; Morabito, A. F.; Crocco, L.; Isernia, T.; Isernia, T./congresso_nome:International Conference on Electromagnetics in Advanced Applications-ICEAA 2017/congresso_luogo:Verona/congresso_data:11/anno:2017/pagina_da:1381/pagina_a:1384/intervallo_pagine:1381–1384
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

In this communication, a new method for quantitative microwave imaging in biomedical applications is presented. This approach is based on the paradigm of 'virtual experiments' and on a regularization technique, which exploits projection onto a wavelet basis expansion. The basic steps of the method are presented and a preliminary example with two-dimensional simulated data is given, in order to demonstrate the potential of the method.

Details

Database :
OpenAIRE
Journal :
2017 International Conference on Electromagnetics in Advanced Applications (ICEAA)
Accession number :
edsair.doi.dedup.....4eed39e06236a40044f33f38bc75c8b8
Full Text :
https://doi.org/10.1109/iceaa.2017.8065534