Search Results - "Hamabuchi, Nayu"

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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Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients by Takenaka, Daisuke, Ozawa, Yoshiyuki, Yamamoto, Kaori, Shinohara, Maiko, Ikedo, Masato, Yui, Masao, Oshima, Yuka, Hamabuchi, Nayu, Nagata, Hiroyuki, Ueda, Takahiro, Ikeda, Hirotaka, Iwase, Akiyoshi, Yoshikawa, Takeshi, Toyama, Hiroshi, Ohno, Yoshiharu

“…Purpose: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been…”
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Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging by Ozawa, Yoshiyuki, Ohno, Yoshiharu, Nagata, Hiroyuki, Tamokami, Keigo, Nishikimi, Keitaro, Oshima, Yuka, Hamabuchi, Nayu, Matsuyama, Takahiro, Ueda, Takahiro, Toyama, Hiroshi

“…Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging…”
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Area-Detector Computed Tomography for Pulmonary Functional Imaging by Ohno, Yoshiharu, Ozawa, Yoshiyuki, Nagata, Hiroyuki, Bando, Shuji, Cong, Shang, Takahashi, Tomoki, Oshima, Yuka, Hamabuchi, Nayu, Matsuyama, Takahiro, Ueda, Takahiro, Yoshikawa, Takeshi, Takenaka, Daisuke, Toyama, Hiroshi

“…An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The…”
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Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification by Ohno, Yoshiharu, Takenaka, Daisuke, Yoshikawa, Takeshi, Yui, Masao, Koyama, Hisanobu, Yamamoto, Kaori, Hamabuchi, Nayu, Shigemura, Chika, Watanabe, Ayumi, Ueda, Takahiro, Ikeda, Hirotaka, Hattori, Hidekazu, Murayama, Kazuhiro, Toyama, Hiroshi

“…Background Pulmonary MRI with ultrashort echo time (UTE) has been compared with chest CT for nodule detection and classification. However, direct comparisons…”
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Chest Magnetic Resonance Imaging by Ozawa, Yoshiyuki, Nagata, Hiroyuki, Ueda, Takahiro, Oshima, Yuka, Hamabuchi, Nayu, Yoshikawa, Takeshi, Takenaka, Daisuke, Ohno, Yoshiharu

“…Many promising study results as well as technical advances for chest magnetic resonance imaging (MRI) have demonstrated its academic and clinical potentials…”
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Chest Magnetic Resonance Imaging: Advances and Clinical Care by Ozawa, Yoshiyuki, Nagata, Hiroyuki, Ueda, Takahiro, Oshima, Yuka, Hamabuchi, Nayu, Yoshikawa, Takeshi, Takenaka, Daisuke, Ohno, Yoshiharu

“…Many promising study results as well as technical advances for chest magnetic resonance imaging (MRI) have demonstrated its academic and clinical potentials…”
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Pulmonary MRI with ultra-short TE using single- and dual-echo methods: comparison of capability for quantitative differentiation of non- or minimally invasive adenocarcinomas from other lung cancers with that of standard-dose thin-section CT by Ohno, Yoshiharu, Yui, Masao, Yamamoto, Kaori, Ikedo, Masato, Oshima, Yuka, Hamabuchi, Nayu, Hanamatsu, Satomu, Nagata, Hiroyuki, Ueda, Takahiro, Ikeda, Hirotaka, Takenaka, Daisuke, Yoshikawa, Takeshi, Ozawa, Yoshiyuki, Toyama, Hiroshi

“…Objective The purpose of this study was thus to compare capabilities for quantitative differentiation of non- and minimally invasive adenocarcinomas from other…”
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Computed DWI MRI Results in Superior Capability for N‐Stage Assessment of Non‐Small Cell Lung Cancer Than That of Actual DWI, STIR Imaging, and FDG‐PET/CT by Ohno, Yoshiharu, Yui, Masao, Takenaka, Daisuke, Yoshikawa, Takeshi, Koyama, Hisanobu, Kassai, Yoshimori, Yamamoto, Kaori, Oshima, Yuka, Hamabuchi, Nayu, Hanamatsu, Satomu, Obama, Yuki, Ueda, Takahiro, Ikeda, Hirotaka, Hattori, Hidekazu, Murayama, Kazuhiro, Toyama, Hiroshi

“…Background Computed diffusion‐weighted imaging (cDWI) is a mathematical computation technique that generates DWIs for any b‐value by using actual DWI (aDWI)…”
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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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Small Cell Lung Cancer Staging: Prospective Comparison of Conventional Staging Tests, FDG PET/CT, Whole-Body MRI, and Coregistered FDG PET/MRI by Ohno, Yoshiharu, Yoshikawa, Takeshi, Takenaka, Daisuke, Koyama, Hisanobu, Aoyagi, Kota, Yui, Masao, Oshima, Yuka, Hamabuchi, Nayu, Tanaka, Yumi, Shigemura, Chika, Oota, Seiichiro, Nomura, Masahiko, Murayama, Kazuhiro, Inui, Yoshitaka, Kikukawa, Kaoru, Toyama, Hiroshi

“…Whole-body MRI and FDG PET/MRI have shown encouraging results for staging of thoracic malignancy but are poorly studied for staging of small cell lung cancer…”
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A Case of Multiple Sclerosing Pneumocytomas With Calcifications: Added Functional-based Information With Dynamic Contrast-enhanced Perfusion Magnetic Resonance Imaging by Hamabuchi, Nayu, Hattori, Hidekazu, Tsukamoto, Tetsuya, Nomura, Masahiko, Ota, Seiichiro, Inui, Yoshitaka, Kikukawa, Kaoru, Imaizumi, Kazuyoshi, Kondo, Masashi, Hoshikawa, Yasushi, Toyama, Hiroshi, Ohno, Yoshiharu

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A Case of Multiple Sclerosing Pneumocytomas With Calcifications: Added Functional-based Information With Dynamic Contrast-enhanced Perfusion Magnetic Resonance Imaging by Hamabuchi, Nayu, Hattori, Hidekazu, Tsukamoto, Tetsuya, Nomura, Masahiko, Ota, Seiichiro, Inui, Yoshitaka, Kikukawa, Kaoru, Imaizumi, Kazuyoshi, Kondo, Masashi, Hoshikawa, Yasushi, Toyama, Hiroshi, Ohno, Yoshiharu

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Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients by Takenaka, Daisuke, Ozawa, Yoshiyuki, Yamamoto, Kaori, Shinohara, Maiko, Ikedo, Masato, Yui, Masao, Oshima, Yuka, Hamabuchi, Nayu, Nagata, Hiroyuki, Ueda, Takahiro, Ikeda, Hirotaka, Iwase, Akiyoshi, Yoshikawa, Takeshi, Toyama, Hiroshi, Ohno, Yoshiharu

“…Purpose: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been…”
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