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.

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

Scapaticci R;Crocco L;
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.
2017
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
9781509044511
Breast
Image reconstruction
Biomedical imaging
Microwave imaging
Microwave theory and techniques
Inverse problems
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/339111
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