Full metadata
Title
A Scalable FPGA-based Multi-channel Data Acquisition System for Parallel Plate Ionization Chamber
Description
Proton beam therapy has been proven to be effective for cancer treatment. Protons allow for complete energy deposition to occur inside patients, rendering this a superior treatment compared to other types of radiotherapy based on photons or electrons. This same characteristic makes quality assurance critical driving the need for detectors capable of direct beam positioning and fluence measurement. This work showcases a flexible and scalable data acquisition system for a multi-channel and segmented readout parallel plate ionization chamber instrument for proton beam fluence and positioning detection. Utilizing readily available, modern, off-the-shelf hardware components, including an FPGA with an embedded CPU in the same package, a data acquisition system for the detector was designed. The undemanding detector signal bandwidth allows the absence of ASICs and their associated costs and lead times in the system. The data acquisition system is showcased experimentally for a 96-readout channel detector demonstrating sub millisecond beam characteristics and beam reconstruction. The system demonstrated scalability up to 1064-readout channels, the limiting factor being FPGA I/O availability as well as amplification and sampling power consumption.
Date Created
2021
Contributors
- Acuna Briceno, Rafael Andres (Author)
- Barnaby, Hugh (Thesis advisor)
- Brunhaver, John (Committee member)
- Blyth, David (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
58 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.168400
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2021
Field of study: Electrical Engineering
System Created
- 2022-08-22 03:02:11
System Modified
- 2022-08-22 03:02:34
- 2 years 3 months ago
Additional Formats