Davide Tucci
Development of artificial intelligence algorithms for optimizing patient positioning for cardiac SPECT in nuclear medicine.
Rel. Filippo Molinari, Luca Rinaudo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (16MB) | Preview |
Abstract
Cardiac SPECT is a non-invasive tomographic nuclear medicine technique which allows to perform a myocardial perfusion imaging (MPI). During this procedure, a specifically designed radiotracer is administered to a patient and it concentrates in the heart tissues. The 3D distribution of the radiopharmaceutical activity inside the heart is reconstructed by collecting enough 2D projection images around the patient. This technique is a powerful tool for coronary artery disease (CAD) diagnosis. Comparing two sets of images, one acquired after a stress test and another in a rest state, a SPECT MPI study highlights possible perfusion defects, which may result in a myocardial ischemia or a myocardial infarction.
D-SPECT is a cardiac-dedicated system which fits the left side of the patient’s chest with its curved geometry
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
