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Optical Engineering

Novel positioning method using Gaussian mixture model for a monolithic scintillator-based detector in positron emission tomography
Author(s): Seungbin Bae; Kisung Lee; Changwoo Seo; Jungmin Kim; Sung-Kwan Joo; Jinhun Joung
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Paper 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 mm×48.8 mm×10 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.

Paper Details

Date Published: 1 September 2011
PDF: 8 pages
Opt. Eng. 50(9) 093606 doi: 10.1117/1.3626579
Published in: Optical Engineering Volume 50, Issue 9
Show Author Affiliations
Seungbin Bae, Korea Univ. (Korea, Republic of)
Kisung Lee, Korea Univ. (Korea, Republic of)
Changwoo Seo, Korea Electrotechnology Research Institute (Korea, Republic of)
Jungmin Kim, Korea Univ. (Korea, Republic of)
Sung-Kwan Joo, Korea Univ. (Korea, Republic of)
Jinhun Joung, Korea Univ. (Korea, Republic of)


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