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Novel positioning method using Gaussian mixture model for a monolithic scintillator-based detector in positron emission tomography

Authors
Bae, SeungbinLee, KisungSeo, ChangwooKim, JungminJoo, Sung-KwanJoung, Jinhun
Issue Date
9월-2011
Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Keywords
positioning algorithm; Gaussian mixture; continuous crystal; flat panel photomultiplier tube; positron emission tomography
Citation
OPTICAL ENGINEERING, v.50, no.9
Indexed
SCIE
SCOPUS
Journal Title
OPTICAL ENGINEERING
Volume
50
Number
9
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/111727
DOI
10.1117/1.3626579
ISSN
0091-3286
Abstract
We developed a high precision position decoding method for a positron emission tomography (PET) detector that consists of a thick slab scintillator coupled with a multichannel photomultiplier tube (PMT). The DETECT2000 simulation package was used to validate light response characteristics for a 48.8 mmx48.8 mmx10 mm slab of lutetium oxyorthosilicate coupled to a 64 channel PMT. The data are then combined to produce light collection histograms. We employed a Gaussian mixture model (GMM) to parameterize the composite light response with multiple Gaussian mixtures. In the training step, light photons acquired by N PMT channels was used as an N-dimensional feature vector and were fed into a GMM training model to generate optimal parameters for M mixtures. In the positioning step, we decoded the spatial locations of incident photons by evaluating a sample feature vector with respect to the trained mixture parameters. The average spatial resolutions after positioning with four mixtures were 1.1 mm full width at half maximum (FWHM) at the corner and 1.0 mm FWHM at the center section. This indicates that the proposed algorithm achieved high performance in both spatial resolution and positioning bias, especially at the corner section of the detector. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3626579]
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Graduate School > Department of Bioengineering > 1. Journal Articles
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College of Engineering > School of Electrical Engineering > 1. Journal Articles
College of Health Sciences > School of Biomedical Engineering > 1. Journal Articles

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