Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks

Masatoshi Ishii; Koichi Ogawa; Tadaki Nakahara; Jun Hashimoto; Atsushi Kubo

Separation of two radionuclides in simultaneous ¹²³I/ ^99mTc SPECT with artificial neural networks

Masatoshi Ishii, Koichi Ogawa, Tadaki Nakahara, Jun Hashimoto, Atsushi Kubo

Department of Radiology (Diagnostic Radiology)

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

This study was carried out to reconstruct quantitative images in simultaneous ¹²³/ ^99mTc SPECT. In the ¹²³I/ ^99mTc SPECT study the image reconstructed with the counts of primary photons emitted from the radionuclide with low photopeak energy( ^99mTc) is distorted by Compton scattered photons originating in the radionuclide with high photopeak energy( ¹²³I). To correct the scattered photons included in the low energy photopeak window in the simultaneous data acquisition, we proposed a method with a neural network at the 1999 IEEE Medical Imaging Conference. In this paper we investigated the performance of our method with Monte Carlo simulations and phantom experiments with a brain phantom and a myocardial phantom. The results showed that our method could separate ^99mTc and ¹²³I with an error of about 4% The results promised to enable us to make clinical trials with dual radionuclides.

Original language	English
Article number	M3-85
Pages (from-to)	1872-1876
Number of pages	5
Journal	IEEE Nuclear Science Symposium Conference Record
Volume	3
Publication status	Published - 2003
Event	2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States Duration: 2003 Oct 19 → 2003 Oct 25

ASJC Scopus subject areas

Radiation
Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging

Cite this

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title = "Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks",

abstract = "This study was carried out to reconstruct quantitative images in simultaneous 123/ 99mTc SPECT. In the 123I/ 99mTc SPECT study the image reconstructed with the counts of primary photons emitted from the radionuclide with low photopeak energy( 99mTc) is distorted by Compton scattered photons originating in the radionuclide with high photopeak energy( 123I). To correct the scattered photons included in the low energy photopeak window in the simultaneous data acquisition, we proposed a method with a neural network at the 1999 IEEE Medical Imaging Conference. In this paper we investigated the performance of our method with Monte Carlo simulations and phantom experiments with a brain phantom and a myocardial phantom. The results showed that our method could separate 99mTc and 123I with an error of about 4% The results promised to enable us to make clinical trials with dual radionuclides.",

author = "Masatoshi Ishii and Koichi Ogawa and Tadaki Nakahara and Jun Hashimoto and Atsushi Kubo",

year = "2003",

language = "English",

volume = "3",

pages = "1872--1876",

journal = "IEEE Nuclear Science Symposium Conference Record",

issn = "1095-7863",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference ; Conference date: 19-10-2003 Through 25-10-2003",

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TY - JOUR

T1 - Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks

AU - Ishii, Masatoshi

AU - Ogawa, Koichi

AU - Nakahara, Tadaki

AU - Hashimoto, Jun

AU - Kubo, Atsushi

PY - 2003

Y1 - 2003

N2 - This study was carried out to reconstruct quantitative images in simultaneous 123/ 99mTc SPECT. In the 123I/ 99mTc SPECT study the image reconstructed with the counts of primary photons emitted from the radionuclide with low photopeak energy( 99mTc) is distorted by Compton scattered photons originating in the radionuclide with high photopeak energy( 123I). To correct the scattered photons included in the low energy photopeak window in the simultaneous data acquisition, we proposed a method with a neural network at the 1999 IEEE Medical Imaging Conference. In this paper we investigated the performance of our method with Monte Carlo simulations and phantom experiments with a brain phantom and a myocardial phantom. The results showed that our method could separate 99mTc and 123I with an error of about 4% The results promised to enable us to make clinical trials with dual radionuclides.

AB - This study was carried out to reconstruct quantitative images in simultaneous 123/ 99mTc SPECT. In the 123I/ 99mTc SPECT study the image reconstructed with the counts of primary photons emitted from the radionuclide with low photopeak energy( 99mTc) is distorted by Compton scattered photons originating in the radionuclide with high photopeak energy( 123I). To correct the scattered photons included in the low energy photopeak window in the simultaneous data acquisition, we proposed a method with a neural network at the 1999 IEEE Medical Imaging Conference. In this paper we investigated the performance of our method with Monte Carlo simulations and phantom experiments with a brain phantom and a myocardial phantom. The results showed that our method could separate 99mTc and 123I with an error of about 4% The results promised to enable us to make clinical trials with dual radionuclides.

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M3 - Conference article

AN - SCOPUS:11844296695

SN - 1095-7863

VL - 3

SP - 1872

EP - 1876

JO - IEEE Nuclear Science Symposium Conference Record

JF - IEEE Nuclear Science Symposium Conference Record

M1 - M3-85

T2 - 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference

Y2 - 19 October 2003 through 25 October 2003

ER -

Separation of two radionuclides in simultaneous ¹²³I/ ^99mTc SPECT with artificial neural networks

Abstract

ASJC Scopus subject areas

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