Search Results - "Kimata, Hirona"

Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions by Matsukiyo, Ryo, Ohno, Yoshiharu, Matsuyama, Takahiro, Nagata, Hiroyuki, Kimata, Hirona, Ito, Yuya, Ogawa, Yukihiro, Murayama, Kazuhiro, Kato, Ryoichi, Toyama, Hiroshi

“…Purpose To determine the image quality improvement including vascular structures using deep learning reconstruction (DLR) for ultra-high-resolution CT (UHR-CT)…”
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Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images by Hamabuchi, Nayu, Ohno, Yoshiharu, Kimata, Hirona, Ito, Yuya, Fujii, Kenji, Akino, Naruomi, Takenaka, Daisuke, Yoshikawa, Takeshi, Oshima, Yuka, Matsuyama, Takahiro, Nagata, Hiroyuki, Ueda, Takahiro, Ikeda, Hirotaka, Ozawa, Yoshiyuki, Toyama, Hiroshi

“…Purpose Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety of organs, and compared with other…”
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Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom Study by Nomura, Masahiko, Ohno, Yoshiharu, Ito, Yuya, Kimata, Hirona, Fujii, Kenji, Akino, Naruomi, Nagata, Hiroyuki, Ueda, Takahiro, Yoshikawa, Takeshi, Takenaka, Daisuke, Ozawa, Yoshiyuki

“…Objective The purpose of this study was to compare radiation dose reduction capability for accurate liver tumor measurements of a computer-aided volumetry (CAD…”
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Impact of surgical treatment on lipid metabolism in patients with lumbar spinal disorders: Prospective observational study by Nakajima, Yukio, Hachiya, Kurenai, Michikawa, Takehiro, Nagai, Sota, Takeda, Hiroki, Kawabata, Soya, Yoshioka, Atsushi, Kimata, Hirona, Ikeda, Daiki, Kaneko, Shinjiro, Ohno, Yoshiharu, Hachiya, Yudo, Fujita, Nobuyuki

“…Purpose It is still unclear how lumbar spinal surgery affects the lipid metabolism of patients with lumbar spinal disorders (LSDs) such as lumbar spinal canal…”
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Answer to the letter to the editor of S. He, et al. concerning “impact of surgical treatment on lipid metabolism in patients with lumbar spinal disorders: prospective observational study” by Nakajima et al. (Eur Spine J [2023]; doi:10.1007/s00586-023–07976-y) by Nakajima, Yukio, Hachiya, Kurenai, Michikawa, Takehiro, Nagai, Sota, Takeda, Hiroki, Kawabata, Soya, Yoshioka, Atsushi, Kimata, Hirona, Ikeda, Daiki, Kaneko, Shinjiro, Ohno, Yoshiharu, Hachiya, Yudo, Fujita, Nobuyuki

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Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study by Ohno, Yoshiharu, Akino, Naruomi, Fujisawa, Yasuko, Kimata, Hirona, Ito, Yuya, Fujii, Kenji, Kataoka, Yumi, Ida, Yoshihiro, Oshima, Yuka, Hamabuchi, Nayu, Shigemura, Chika, Watanabe, Ayumi, Obama, Yuki, Hanamatsu, Satomu, Ueda, Takahiro, Ikeda, Hirotaka, Murayama, Kazuhiro, Toyama, Hiroshi

“…Objective Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has…”
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Capability for dose reduction while maintaining nodule detection: Comparison of silver and copper X-ray spectrum modulation filters for chest CT using a phantom study with different reconstruction methods by Oshima, Yuka, Ohno, Yoshiharu, Takenaka, Daisuke, Ito, Yuya, Kimata, Hirona, Fujii, Kenji, Akino, Naruomi, Hamabuchi, Nayu, Matsuyama, Takahiro, Nagata, Hiroyuki, Ueda, Takahiro, Ikeda, Hirotaka, Ozawa, Yoshiyuki, Yoshikawa, Takeshi, Toyama, Hiroshi

“…•SNRnodule and image quality score for the Ag filter were significantly higher than those for the Cu filter (p < 0.05).•SNRnodule and image quality score of…”
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