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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationIEEE Nuclear Science Symposium Conference Record
EditorsS.D. Metzler
Pages1872-1876
Number of pages5
Volume3
Publication statusPublished - 2003
Event2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States
Duration: 2003 Oct 192003 Oct 25

Other

Other2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference
CountryUnited States
CityPortland, OR
Period03/10/1903/10/25

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Radioisotopes
Photons
Neural networks
Medical imaging
Data acquisition
Brain
Experiments

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Ishii, M., Ogawa, K., Nakahara, T., Hashimoto, J., & Kubo, A. (2003). Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks. In S. D. Metzler (Ed.), IEEE Nuclear Science Symposium Conference Record (Vol. 3, pp. 1872-1876). [M3-85]

Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks. / Ishii, Masatoshi; Ogawa, Koichi; Nakahara, Tadaki; Hashimoto, Jun; Kubo, Atsushi.

IEEE Nuclear Science Symposium Conference Record. ed. / S.D. Metzler. Vol. 3 2003. p. 1872-1876 M3-85.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ishii, M, Ogawa, K, Nakahara, T, Hashimoto, J & Kubo, A 2003, Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks. in SD Metzler (ed.), IEEE Nuclear Science Symposium Conference Record. vol. 3, M3-85, pp. 1872-1876, 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference, Portland, OR, United States, 03/10/19.
Ishii M, Ogawa K, Nakahara T, Hashimoto J, Kubo A. Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks. In Metzler SD, editor, IEEE Nuclear Science Symposium Conference Record. Vol. 3. 2003. p. 1872-1876. M3-85
Ishii, Masatoshi ; Ogawa, Koichi ; Nakahara, Tadaki ; Hashimoto, Jun ; Kubo, Atsushi. / Separation of two radionuclides in simultaneous 123I/ 99mTc SPECT with artificial neural networks. IEEE Nuclear Science Symposium Conference Record. editor / S.D. Metzler. Vol. 3 2003. pp. 1872-1876
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