Publications by authors named "M Onoguchi"
Objectives: Brain perfusion single-photon emission computed tomography (SPECT) image quality varies depending on SPECT systems. This study aimed to evaluate the relationship between physical parameters and visual analysis for assessment of the brain SPECT image quality. We conducted our phantom study under various conditions in a multi-center and multi-vendor study.
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- - The study highlights the challenge of insufficient diagnostic tools for nuclear medicine imaging in newborns, particularly those with extremely low birth weight, and suggests investigating new technology to address this issue.
- - Researchers created a phantom model of a 500-g infant to test cardiac PET imaging with SiPM technology, assessing its ability to visualize a 3-mm myocardial defect using two different tracers (F-FDG and F-flurpiridaz).
- - Results showed that while SiPM PET could effectively image the heart, both tracers overestimated defect accumulation, with F-flurpiridaz providing better contrast, suggesting its preference for future studies if limited to one tracer.
Purpose: Motion artifacts caused by heart motion during myocardial perfusion single-photon emission computed tomography (SPECT) can compromise image quality and diagnostic accuracy. This study aimed to evaluate the efficacy of the novel respiratory motion reduction block (RRB) device in reducing motion artifacts by compressing the hypochondrium and improving SPECT image quality.
Methods: In total, 91 patients who underwent myocardial perfusion SPECT with Tc-sestamibi were retrospectively analyzed.
In cardiac nuclear medicine examinations, absorption in the body is the main factor in the degradation of the image quality. The Chang and external source methods were used to correct for absorption in the body. However, fundamental studies on attenuation correction for electrocardiogram (ECG)-synchronized CT imaging have not been performed.
View Article and Find Full Text PDFAlanyl-tRNA synthetase (AlaRS) incorrectly recognizes both a slightly smaller glycine and a slightly larger serine in addition to alanine, and the probability of incorrect identification is extremely low at 1/300 and 1/170, respectively. Alanine is the second smallest amino acid after glycine; however, the mechanism by which AlaRS specifically identifies small differences in side chains with high accuracy remains unknown. In this study, using a malachite green assay, we aimed to elucidate the alanine recognition mechanism of a fragment (AlaRS368N) containing only the amino acid activation domain of Escherichia coli AlaRS.
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