Back to Search
Start Over
Biomedical imaging via wavelet-based regularization and distorted iterated virtual experiments
- 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.
- Subjects :
- Inverse problems
business.industry
0206 medical engineering
020206 networking & telecommunications
02 engineering and technology
020601 biomedical engineering
Regularization (mathematics)
Basis expansion
Wavelet
Microwave imaging
Biomedical imaging
Iterated function
Microwave theory and techniques
Simulated data
Image reconstruction
0202 electrical engineering, electronic engineering, information engineering
Medical imaging
Computer vision
Breast
Artificial intelligence
Projection (set theory)
business
Mathematics
Subjects
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