Term 231
Real-Time Automated Radiation Thearpy Device For Lung Tumors
Project Type: Self-Initiated
Project Description
Our project represents a transformative approach to lung tumor treatment, pioneering the convergence of technologies. Leveraging the capabilities of AI, we employ Jetson Nano to precisely analyze MRI videos, swiftly and accurately detecting the presence and location of lung tumors. Once identified, the coordinates of these tumors are seamlessly transferred to a microcontroller using TCP protocol as wireless communication technology, which organizes the complicated movements of a robotic arm. This robotic arm is connected to a laser that serves as the channel for delivering radiation therapy. To ensure seamless control and supervision, a user-friendly Graphical User Interface (GUI) is integrated into the system. To replicate patient scenarios; we incorporate a lung manikin. Our project not only aims to improve treatment outcomes but also has the potential to set new standards in the field of oncology and healthcare.
Download Poster
Project Team
Munthir Hejji Alshehab
EE
Ahmed Zaki Alsiddiq
COE
Ali Hamed Alfayez
EE
Alhassan Mohammed Albusalih
CIE
Ali Zuhair Almakhluk
COETeam Coach
DR. Akram Ahmed
Assistant ProfessorComputer Engineering Dept.
Interdisciplinary Research Center for Communication Systems and Sensing