Publications by authors named "Yoichiro Ota"

Background: Despite advancements in coronary computed tomography angiography (CTA), challenges in positive predictive value and specificity remain due to limited spatial resolution. The purpose of this experimental study was to investigate the effect of 2nd generation deep learning-based reconstruction (DLR) on the quantitative and qualitative image quality in coronary CTA.

Methods: A vessel model with stepwise non-calcified plaque was scanned using 320-detector CT.

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Article Synopsis
  • The study aimed to compare the visibility of in-stent restenosis using conventional-resolution CT (CRCT) and ultra-high-resolution CT (U-HRCT) while examining different image reconstruction techniques.
  • Using a 3.0-mm stent with non-calcified plaque, the researchers scanned samples with different angles and applied various reconstruction methods, assessing lumen size and image quality.
  • Results showed that U-HRCT offered significantly better lumen visibility and overall image quality compared to CRCT, although the angle of the stent did have an impact on visualization.
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