Optimal energy window selection for scintigraphy & emission computed tomography

Radioisotope imaging methods such as PET, SPECT and planar scintigraphy, currently utilize a fixed energy (pulse height) acceptance window regardless of the volume of the subject being imaged. This is despite previous work suggesting that higher window settings may yield improved image quality for i...

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Main Authors:	Wells, Kevin, Tumian, Afidalina, Zapros, Angelos, Alnafea, Mohammed, Saripan, M. Iqbal, Guy, Matthew, Hinton , Paul
Format:	Conference or Workshop Item
Language:	English
Published:	2005
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/40421/ http://irep.iium.edu.my/40421/ http://irep.iium.edu.my/40421/1/wells2005.pdf

id	iium-40421
recordtype	eprints
spelling	iium-404212015-01-26T09:07:12Z http://irep.iium.edu.my/40421/ Optimal energy window selection for scintigraphy & emission computed tomography Wells, Kevin Tumian, Afidalina Zapros, Angelos Alnafea, Mohammed Saripan, M. Iqbal Guy, Matthew Hinton , Paul Q Science (General) Radioisotope imaging methods such as PET, SPECT and planar scintigraphy, currently utilize a fixed energy (pulse height) acceptance window regardless of the volume of the subject being imaged. This is despite previous work suggesting that higher window settings may yield improved image quality for imaging larger objects. However, we speculate that non-standard energy windows have not been widely adopted because there has not, until now, been a method available for determining how and when to use such an approach. In this new work we address this issue and propose a method for setting an adaptive photopeak acceptance window. This should be optimal for a wide variety of imaging situations applied across different radioisotope imaging methods. In order to develop an automatic technique in which individual patient-specific optimal thresholds can be determined, we propose a Bayes’ Minimum Error Thresholding approach, which utilizes modeling the upper part of the observed energy spectrum as a two-class Gaussian mixture model. Exemplar planar Monte Carlo results and a preliminary phantom study are presented. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40421/1/wells2005.pdf Wells, Kevin and Tumian, Afidalina and Zapros, Angelos and Alnafea, Mohammed and Saripan, M. Iqbal and Guy, Matthew and Hinton , Paul (2005) Optimal energy window selection for scintigraphy & emission computed tomography. In: 2005 IEEE Nuclear Science Symposium Conference Record , 23rd - 29th October 2005, Fajardo. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1596736
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Wells, Kevin Tumian, Afidalina Zapros, Angelos Alnafea, Mohammed Saripan, M. Iqbal Guy, Matthew Hinton , Paul Optimal energy window selection for scintigraphy & emission computed tomography
description	Radioisotope imaging methods such as PET, SPECT and planar scintigraphy, currently utilize a fixed energy (pulse height) acceptance window regardless of the volume of the subject being imaged. This is despite previous work suggesting that higher window settings may yield improved image quality for imaging larger objects. However, we speculate that non-standard energy windows have not been widely adopted because there has not, until now, been a method available for determining how and when to use such an approach. In this new work we address this issue and propose a method for setting an adaptive photopeak acceptance window. This should be optimal for a wide variety of imaging situations applied across different radioisotope imaging methods. In order to develop an automatic technique in which individual patient-specific optimal thresholds can be determined, we propose a Bayes’ Minimum Error Thresholding approach, which utilizes modeling the upper part of the observed energy spectrum as a two-class Gaussian mixture model. Exemplar planar Monte Carlo results and a preliminary phantom study are presented.
format	Conference or Workshop Item
author	Wells, Kevin Tumian, Afidalina Zapros, Angelos Alnafea, Mohammed Saripan, M. Iqbal Guy, Matthew Hinton , Paul
author_facet	Wells, Kevin Tumian, Afidalina Zapros, Angelos Alnafea, Mohammed Saripan, M. Iqbal Guy, Matthew Hinton , Paul
author_sort	Wells, Kevin
title	Optimal energy window selection for scintigraphy & emission computed tomography
title_short	Optimal energy window selection for scintigraphy & emission computed tomography
title_full	Optimal energy window selection for scintigraphy & emission computed tomography
title_fullStr	Optimal energy window selection for scintigraphy & emission computed tomography
title_full_unstemmed	Optimal energy window selection for scintigraphy & emission computed tomography
title_sort	optimal energy window selection for scintigraphy & emission computed tomography
publishDate	2005
url	http://irep.iium.edu.my/40421/ http://irep.iium.edu.my/40421/ http://irep.iium.edu.my/40421/1/wells2005.pdf
first_indexed	2023-09-18T20:58:00Z
last_indexed	2023-09-18T20:58:00Z
_version_	1777410433470169088

Optimal energy window selection for scintigraphy & emission computed tomography

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