By a News Reporter-Staff News Editor at Health & Medicine Week -- A new study on Metabolism is now available. According to news reporting originating from Kanagawa, Japan, by NewsRx correspondents, research stated, "We contrived a scatter correction method based on an artificial neural network (ANN) and applied it to the simultaneous evaluation of myocardial perfusion and fatty acid metabolism in single-photon emission computed tomography (SPECT). The count data of three energy windows were used as inputs of the ANN."
Our news editors obtained a quote from the research from the Tokai University School of Medicine, "The count ratios of the estimated primary-to-total photons for (99m)Tc and (123)I, which were used to reconstruct (99m)Tc and (123)I images, were calculated using the ANN. In a phantom study, single-and dual-isotope imaging with (99m)Tc/(123)I and (201)Tl/(123)I was performed by means of a cardiac phantom simulating patients with and without obesity. In a human study, five normal volunteers and ten patients with myocardial infarction underwent myocardial perfusion and fatty acid metabolism imaging with single and dual SPECT with combinations of (99m)Tc-methoxyisobutylisonitrile/(123)I-beta-methyl(p-iodophenyl)pentadecanoic acid (BMIPP) and (201)Tl/(123)I-BMIPP as tracers. Technetium-99m yielded more homogeneous images than (201)Tl because of the lower degree of photon attenuation, especially in the condition of obese patients, resulting in clearer visualization of the perfusion-metabolism mismatch. Dual (99m)Tc/(123)I SPECT offered comparable images with single SPECT in assessing myocardial damage."
According to the news editors, the research concluded: "The method effectively separated (99m)Tc and (123)I primary photons and proved applicable to (99m)Tc/(123)I dual-isotope myocardial SPECT."
For more information on this research see: Simultaneous dual-isotope imaging based on an artificial neural network for evaluating myocardial perfusion and fatty acid metabolism. Journal of Nuclear Cardiology, 2013;20(3):396-405. Journal of Nuclear Cardiology can be contacted at: Springer, 233 Spring Street, New York, NY 10013, USA. (Springer - www.springer.com; Journal of Nuclear Cardiology - www.springerlink.com/content/1071-3581/)
The news editors report that additional information may be obtained by contacting J. Hashimoto, Dept. of Radiology, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan. Additional authors for this research include K. Ogawa, J. Bai, A. Kubo and Y. Imai (see also Metabolism).
Publisher contact information for the Journal of Nuclear Cardiology is: Springer, 233 Spring Street, New York, NY 10013, USA.
Keywords for this news article include: Asia, Japan, Kanagawa, Metabolism, Machine Learning, Emerging Technologies, Artificial Neural Networks.
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