| KEYWORD |
Advancing In-Vivo Treatment Verification in Charged Particle Therapy for Enhanced Cancer Care
keywords BIOMEDICA, CANCER TREATMENT, CHARGED PARTICLE THERAPY, TUMOR IMAGE RECONSTRUCTION ALGORITHMS
Reference persons SARAH AZIMI, LUCA STERPONE
Research Groups DAUIN - AEROSPACE AND SAFETY COMPUTING LAB
Thesis type RESEARCH / EXPERIMENTAL
Description Charged Particle Therapy (CPT), also known as particle radiation therapy, has emerged as a promising cancer treatment modality due to its ability to precisely target tumors while sparing healthy tissues. However, optimizing the accuracy of this technique and monitoring the beam parameters and particle range within patients are paramount for its success. This research aims to design and develop a high-performance data acquisition architecture for monitoring particles during Charged Particle Therapy to improve in-vivo treatment verification. The significance of this research is underscored by its potential to enhance treatment outcomes and reduce the human and social cost associated with cancer care.
Required skills Hardware Language (VHDL -Verilog)
Deadline 19/10/2024
PROPONI LA TUA CANDIDATURA