Scatter correction based on an artificial neural network for 99mTc and 123I dual-isotope SPECT in myocardial and brain imaging

Jingming Bai, Jun Hashimoto, Koichi Ogawa, Tadaki Nakahara, Takayuki Suzuki, Atsushi Kubo

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


The aim of this study was to elucidate the clinical usefulness of scatter correction with an artificial neural network (ANN) in 99mTc and 123I dual-isotope SPECT. Methods: Two algorithms for ANN scatter correction were tested: ANN-10 and ANN-3 employing 10 and 3 energy windows for data acquisition, respectively. Three patients underwent myocardial or brain SPECT with one of the following combinations of radiopharmaceuticals administered: 99mTc-tetrofosmin and 123I- metaiodobenzylguanidine (MIBG), 99mTc-methoxyisobutylisonitrile (MIBI) and 123I-beta-methylparaiodophenyl-pentadecanoic acid (BMIPP), or 99mTc-ethyl-cistainate dimmer (ECD) and 123I- iomazenil. The patients were also referred for single-isotope imaging incorporating conventional triple-energy window (TEW) scatter correction. Crosstalk- and scatter-corrected 99mTc- and 123I-SPECT images in dual-isotope acquisition with ANN were compared with those in single-isotope acquisition. Results: The ANN method well separated 123I and 99mTc primary photons. Although ANN-10 yielded images of poor quality, ANN-3 offered comparable image quality with the single-isotope scan without significant increase of acquisition time. Conclusion: The proposed method is clinically useful because it provides various combinations of information without anatomical misregistration with one acquisition.

Original languageEnglish
Pages (from-to)25-32
Number of pages8
JournalAnnals of Nuclear Medicine
Issue number1
Publication statusPublished - 2007
Externally publishedYes


  • Artificial neural network
  • Brain SPECT
  • Dual-isotope SPECT
  • Myocardial SPECT
  • Scatter correction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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