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Analysis and study of lungs CT scan images for the construction of 3D numerical models

Arianna Ravera

Analysis and study of lungs CT scan images for the construction of 3D numerical models.

Rel. Monica Visintin, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2021

Abstract:

Computed Tomography (CT) scans are nowadays one of the most important diagnostic tools able to detect medical conditions that conventional X-rays cannot. Indeed, CT scans can show a three-dimensional (3D) view of the section of the body under study but to do so, being the CT scan images initially in two-dimension (2D), it is needed a system for automatic three-dimensional (3D) reconstruction of the section. Based on that matter, in this work we formulate realistic numerical models of inflated and deflated lungs in normal and Acute Respiratory Distress conditions using CT images. We performed a 3D reconstruction of the lung through an automatic recognition of the useful area, done in order to help researchers to implement phantom models and to develop non-hazardous and non-invasive microwave imaging techniques for accurate diagnosis of Acute Respiratory Distress Syndrome (ARDS)

Relators: Monica Visintin, Guido Pagana
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 61
Additional Information: Tesi secretata. Full text non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Ente in cotutela: Uppsala University - Microwaves in Medical Engineering Group|Dept. of Electrical Engineering (SVEZIA)
Aziende collaboratrici: Uppsala University
URI: http://webthesis.biblio.polito.it/id/eprint/20433
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