A feature point identification method for positron emission particle tracking with multiple tracers

Cody Wiggins; Roque Santos; Arthur Ruggles

doi:10.1016/j.nima.2016.10.057

A feature point identification method for positron emission particle tracking with multiple tracers

Cody Wiggins, Roque Santos, Arthur Ruggles

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

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.

Original language	English
Pages (from-to)	22-28
Number of pages	7
Journal	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume	843
DOIs	https://doi.org/10.1016/j.nima.2016.10.057
State	Published - Jan 21 2017
Externally published	Yes

Keywords

Feature point identification
Multiple particle tracking
Positron emission particle tracking

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10.1016/j.nima.2016.10.057

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title = "A feature point identification method for positron emission particle tracking with multiple tracers",

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.",

keywords = "Feature point identification, Multiple particle tracking, Positron emission particle tracking",

author = "Cody Wiggins and Roque Santos and Arthur Ruggles",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",

year = "2017",

month = jan,

day = "21",

doi = "10.1016/j.nima.2016.10.057",

language = "English",

volume = "843",

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journal = "Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",

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A feature point identification method for positron emission particle tracking with multiple tracers. / Wiggins, Cody; Santos, Roque; Ruggles, Arthur.
In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 843, 21.01.2017, p. 22-28.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - A feature point identification method for positron emission particle tracking with multiple tracers

AU - Wiggins, Cody

AU - Santos, Roque

AU - Ruggles, Arthur

PY - 2017/1/21

Y1 - 2017/1/21

N2 - 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.

AB - 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.

KW - Feature point identification

KW - Multiple particle tracking

KW - Positron emission particle tracking

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DO - 10.1016/j.nima.2016.10.057

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SN - 0168-9002

VL - 843

SP - 22

EP - 28

JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

ER -

A feature point identification method for positron emission particle tracking with multiple tracers

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Keywords

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