title: Scatter correction based on an artificial neural network for 99mTc and 123I dual-isotope SPECT in myocardial and brain imaging.
abstract: 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-methyl-paraiodophenyl-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.
  
  
  CONCLUSIONS
  The proposed method is clinically useful because it provides various combinations of information without anatomical misregistration with one acquisition.
authors: 21st Century Center of Excellence Program, School of Medicine, Keio University, Tokyo, Japan. bjingming@goo.ne.jp
authors: Jingming
authors: J
authors: Bai
authors: Jun
authors: J
authors: Hashimoto
authors: Koichi
authors: K
authors: Ogawa
authors: Tadaki
authors: T
authors: Nakahara
authors: Takayuki
authors: T
authors: Suzuki
authors: Atsushi
authors: A
authors: Kubo
mesh_terms: D001921:Brain / Q000473:pathology*; D006801:Humans; D007457:Iodine Radioisotopes; D009206:Myocardium / Q000473:pathology*; D016571:Neural Networks, Computer; D013667:Technetium; D015899:Tomography, Emission-Computed, Single-Photon
chemical_list: D007457:Iodine Radioisotopes; D013667:Technetium