Skip to Main Content (Press Enter)

Logo UNIRC
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Attività
  • Competenze

UNI-FIND
Logo UNIRC

|

UNI-FIND

unirc.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Attività
  • Competenze
  1. Pubblicazioni

In-vivo Electrical Properties Estimation of Biological Tissues by means of a multi-step Microwave Tomography Approach

Articolo
Data di Pubblicazione:
2024
Citazione:
In-vivo Electrical Properties Estimation of Biological Tissues by means of a multi-step Microwave Tomography Approach / Ambrosanio, M., Bevacqua, M., Lovetri, J., Pascazio, V., Isernia, T.. - In: IEEE TRANSACTIONS ON MEDICAL IMAGING. - ISSN 0278-0062. - 43:5(2024), pp. 1983-1994. [10.1109/TMI.2024.3354463]
Abstract:
The accurate quantitative estimation of the electromagnetic properties of tissues can serve important diagnostic and therapeutic medical purposes. Quantitative microwave tomography is an imaging modality that can provide maps of the in-vivo electromagnetic properties of the imaged tissues, i.e. both the permittivity and the electric conductivity. A multi-step microwave tomography approach is proposed for the accurate retrieval of such spatial maps of biological tissues. The underlying idea behind the new imaging approach is to progressively add details to the maps in a step-wise fashion starting from single-frequency qualitative reconstructions. Multi-frequency microwave data is utilized strategically in the final stage. The approach results in improved accuracy of the reconstructions compared to inversion of the data in a single step. As a case study, the proposed workflow was tested on an experimental microwave data set collected for the imaging of the human forearm. The human forearm is a good test case as it contains several soft tissues as well as bone, exhibiting a wide range of values for the electrical properties.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Ambrosanio, Michele; Bevacqua, Martina; Lovetri, Joe; Pascazio, Vito; Isernia, Tommaso
Autori di Ateneo:
BEVACQUA Martina Teresa
ISERNIA Tommaso
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/142246
Link al Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/142246/393527/Bevacqua_2024_TMI_Editor.pdf
Pubblicato in:
IEEE TRANSACTIONS ON MEDICAL IMAGING
Journal
  • Dati Generali

Dati Generali

URL

https://ieeexplore.ieee.org/document/10400495
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.6.1.0