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A real-time sorting algorithm for in-beam PET of heavy-ion cancer therapy device
- Source :
- Nuclear Engineering and Technology, Vol 53, Iss 10, Pp 3406-3412 (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- A real-time digital time-stamp sorting algorithm used in the In-Beam positron emission tomography (In-Beam PET) is presented. The algorithm is operated in the field programmable gate array (FPGA) and a small amount of registers, MUX and memory cells are used. It is developed for sorting the data of annihilation event from front-end circuits, so as to identify the coincidence events efficiently in a large amount of data. In the In-Beam PET, each annihilation event is detected by the detector array and digitized by the analog to digital converter (ADC) in Data Acquisition Unit (DAQU), with a resolution of 14 bits and sampling rate of 50 MS/s. Test and preliminary operation have been implemented, it can perform a sorting operation under the event count rate up to 1 MHz per channel, and support four channels in total, count rate up to 4 MHz. The performance of this algorithm has been verified by pulse generator and 22Na radiation source, which can sort the events with chaotic order into chronological order completely. The application of this algorithm provides not only an efficient solution for selection of coincidence events, but also a design of electronic circuit with a small-scale structure.
- Subjects :
- Sorting algorithm
Computer science
020209 energy
Analog-to-digital converter
02 engineering and technology
In-beam PET
Multiplexer
030218 nuclear medicine & medical imaging
law.invention
03 medical and health sciences
0302 clinical medicine
law
0202 electrical engineering, electronic engineering, information engineering
sort
Field-programmable gate array
FPGA
Electronic circuit
business.industry
Pulse generator
TK9001-9401
Sorting
Real-time sorting algorithm
Coincidence events identification
Nuclear Energy and Engineering
Nuclear engineering. Atomic power
business
Computer hardware
Subjects
Details
- Language :
- English
- ISSN :
- 17385733
- Volume :
- 53
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Nuclear Engineering and Technology
- Accession number :
- edsair.doi.dedup.....57f77858d7fd5fecc4e409b7606e29a0