Search Results - "Kojima, Tsukasa"

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    Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study by Mikayama, Ryoji, Shirasaka, Takashi, Kojima, Tsukasa, Sakai, Yuki, Yabuuchi, Hidetake, Kondo, Masatoshi, Kato, Toyoyuki

    Published in British journal of radiology (01-02-2022)
    “…The lung nodule volume determined by CT is used for nodule diagnoses and monitoring tumor responses to therapy. Increased image noise on low-dose CT degrades…”
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    Journal Article
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    Right Ventricular Strain With 4-Dimensional Computed Tomography Identifies Pulmonary Hypertension in Adults With Repaired Tetralogy of Fallot by Shimomiya, Yamato, Nagao, Michinobu, Kogure, Tomohito, Asagai, Seiji, Inoue, Akihiro, Yamamoto, Atsushi, Sakai, Shuji, Inai, Kei, Shirasaka, Takashi, Kojima, Tsukasa, Yabuuchi, Hidetake

    Published in Circulation Journal (22-08-2024)
    “…Background: This study evaluated right ventricular (RV) volume, strain, and morphology using cardiac 4-dimensional computed tomography (4D-CT) to detect…”
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    Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study by Katsuyama, Yuna, Kojima, Tsukasa, Shirasaka, Takashi, Kondo, Masatoshi, Kato, Toyoyuki

    Published in Radiological physics and technology (01-03-2023)
    “…Purpose We assessed the physical properties of virtual monochromatic images (VMIs) obtained with different energy levels in various contrast settings and…”
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    Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT by Sakai, Yuki, Kitamoto, Erina, Okamura, Kazutoshi, Takarabe, Shinya, Shirasaka, Takashi, Mikayama, Ryoji, Kondo, Masatoshi, Tatsumi, Masato, Kojima, Tsukasa, Kato, Toyoyuki, Yoshiura, Kazunori

    Published in Oral radiology (01-10-2022)
    “…Objectives This study aimed to investigate the impact of a deep learning-based reconstruction (DLR) technique on image quality and reduction of radiation…”
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    Influence of beam hardening in dual-energy CT imaging: phantom study for iodine mapping, virtual monoenergetic imaging, and virtual non-contrast imaging by Kanatani, Risa, Shirasaka, Takashi, Kojima, Tsukasa, Kato, Toyoyuki, Kawakubo, Masateru

    Published in European radiology experimental (27-04-2021)
    “…In this study, we investigated the influence of beam hardening on the dual-energy computed tomography (DECT) values of iodine maps, virtual monoenergetic (VME)…”
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    Feasible scan timing for 320-row coronary CT angiography generated by the time to peak in the ascending aorta by Shirasaka, Takashi, Nagao, Michinobu, Yamasaki, Yuzo, Kojima, Tsukasa, Kondo, Masatoshi, Shimomiya, Yamato, Kamitani, Takeshi, Honda, Hiroshi

    Published in Clinical imaging (01-03-2019)
    “…A 320-row CT scanner can briefly scan the entire heart. Therefore, the feasible scan timing is required. The aim of this study was to propose a refined method…”
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    Effect of scan mode and focal spot size in airway dimension measurements for ultra-high-resolution computed tomography of chronic obstructive pulmonary disease: A COPDGene phantom study by Mikayama, Ryoji, Shirasaka, Takashi, Yabuuchi, Hidetake, Sakai, Yuki, Kojima, Tsukasa, Kondo, Masatoshi, Yoshikawa, Hideki, Kato, Toyoyuki

    Published in Physica medica (01-02-2020)
    “…•UHRCT using the super high resolution (SHR) mode could improve measurement accuracy.•The small focal spot contributed to an accurate evaluation of a small…”
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    The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation by Kojima, Tsukasa, Yamasaki, Yuzo, Matsuura, Yuko, Mikayama, Ryoji, Shirasaka, Takashi, Kondo, Masatoshi, Kamitani, Takeshi, Kato, Toyoyuki, Ishigami, Kousei, Yabuuchi, Hidetake

    Published in Journal of computer assisted tomography (01-01-2024)
    “…The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DLR) on low-tube-voltage computed tomographic angiography (CTA) for…”
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    A novel fast kilovoltage switching dual-energy CT with deep learning: Accuracy of CT number on virtual monochromatic imaging and iodine quantification by Kojima, Tsukasa, Shirasaka, Takashi, Kondo, Masatoshi, Kato, Toyoyuki, Nishie, Akihiro, Ishigami, Kousei, Yabuuchi, Hidetake

    Published in Physica medica (01-01-2021)
    “…•Deep learning spectral CT is a novel dual-energy CT with deep learning.•Deep learning spectral CT generates complete sinograms using deep learning views.•Deep…”
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    Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study by Shirasaka, Takashi, Kojima, Tsukasa, Funama, Yoshinori, Sakai, Yuki, Kondo, Masatoshi, Mikayama, Ryoji, Hamasaki, Hiroshi, Kato, Toyoyuki, Ushijima, Yasuhiro, Asayama, Yoshiki, Nishie, Akihiro

    “…Purpose In an ultrahigh‐resolution CT (U‐HRCT), deep learning‐based reconstruction (DLR) is expected to drastically reduce image noise without degrading…”
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    Dynamic flow imaging using 320-detector row CT and motion coherence analysis in coronary aneurysms associated with Kawasaki disease by Shimomiya, Yamato, Nagao, Michinobu, Yamasaki, Yuzo, Shirasaka, Takashi, Kondo, Masatoshi, Kojima, Tsukasa, Nishie, Akihiro, Yamamura, Kenichiro, Honda, Hiroshi

    Published in Cardiology in the young (01-03-2018)
    “…Introduction We propose a new dynamic flow imaging using 320-detector row CT, and investigate the assessment of coronary flow in aneurysms of Kawasaki disease…”
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    Efficacy of the radial acquisition regime (RADAR) for acquiring head and neck MR images by Kojima, Tsukasa, Yabuuchi, Hidetake, Narita, Hiroshi, Kumazawa, Seiji, Yamasaki, Yuzo, Yano, Yuki, Sakai, Noriyuki, Kurihara, Yoichi, Hisada, Kiyoshi, Masaki, Masafumi, Kimura, Hiroshi

    Published in British journal of radiology (01-11-2016)
    “…To investigate the efficacy of the radial acquisition regime (RADAR) for acquiring head and neck MR images. 15 healthy volunteers underwent imaging with 4…”
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