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A feature point identification method for positron emission particle tracking with multiple tracers
- Source :
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 843:22-28
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- A novel detection algorithm for Positron Emission Particle Tracking (PEPT) with multiple tracers based on optical feature point identification (FPI) methods is presented. This new method, the FPI method, is compared to a previous multiple PEPT method via analyses of experimental and simulated data. The FPI method outperforms the older method in cases of large particle numbers and fine time resolution. Simulated data show the FPI method to be capable of identifying 100 particles at 0.5 mm average spatial error. Detection error is seen to vary with the inverse square root of the number of lines of response (LORs) used for detection and increases as particle separation decreases.
- Subjects :
- Physics
Nuclear and High Energy Physics
Lines of response
Tracking (particle physics)
01 natural sciences
Fast inverse square root
030218 nuclear medicine & medical imaging
010309 optics
03 medical and health sciences
Identification (information)
0302 clinical medicine
Feature (computer vision)
0103 physical sciences
Particle
Point (geometry)
Positron emission
Biological system
Instrumentation
Subjects
Details
- ISSN :
- 01689002
- Volume :
- 843
- Database :
- OpenAIRE
- Journal :
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
- Accession number :
- edsair.doi...........d0a3b26c5111267d6939e2472dfa11fa