Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nayu Hamabuchi"'
Autor:
Yoshiyuki Ozawa, Yoshiharu Ohno, Hiroyuki Nagata, Keigo Tamokami, Keitaro Nishikimi, Yuka Oshima, Nayu Hamabuchi, Takahiro Matsuyama, Takahiro Ueda, Hiroshi Toyama
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2295 (2023)
Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging techniques to diagnostic radiology to overcome the limitations of conventional CT in character
Externí odkaz:
https://doaj.org/article/3102e9b77f984a4cb62f4d41adb3e6db
Autor:
Yoshiharu Ohno, Yoshiyuki Ozawa, Hiroyuki Nagata, Shuji Bando, Shang Cong, Tomoki Takahashi, Yuka Oshima, Nayu Hamabuchi, Takahiro Matsuyama, Takahiro Ueda, Takeshi Yoshikawa, Daisuke Takenaka, Hiroshi Toyama
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2518 (2023)
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 actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scann
Externí odkaz:
https://doaj.org/article/a1c9938c0c9a4afd9d7556bc6341f1f8
Autor:
Daisuke Takenaka, Yoshiyuki Ozawa, Kaori Yamamoto, Maiko Shinohara, Masato Ikedo, Masao Yui, Yuka Oshima, Nayu Hamabuchi, Hiroyuki Nagata, Takahiro Ueda, Hirotaka Ikeda, Akiyoshi Iwase, Takeshi Yoshikawa, Hiroshi Toyama, Yoshiharu Ohno
Publikováno v:
Magnetic Resonance in Medical Sciences; 2024, Vol. 23 Issue 4, p487-501, 15p
Autor:
Yoshiharu Ohno, Masao Yui, Daisuke Takenaka, Takeshi Yoshikawa, Hisanobu Koyama, Yoshimori Kassai, Kaori Yamamoto, Yuka Oshima, Nayu Hamabuchi, Satomu Hanamatsu, Yuki Obama, Takahiro Ueda, Hirotaka Ikeda, Hidekazu Hattori, Kazuhiro Murayama, Hiroshi Toyama
Publikováno v:
Journal of Magnetic Resonance Imaging. 57:259-272
Autor:
Takahiro Ueda, Hiroshi Toyama, Chika Shigemura, Masao Yui, Nayu Hamabuchi, Hirotaka Ikeda, Daisuke Takenaka, Hidekazu Hattori, Yoshiharu Ohno, Takeshi Yoshikawa, Kaori Yamamoto, Kazuhiro Murayama, Hisanobu Koyama, Ayumi Watanabe
Publikováno v:
Radiology. 302:697-706
Background Pulmonary MRI with ultrashort echo time (UTE) has been compared with chest CT for nodule detection and classification. However, direct comparisons of these methods' capabilities for Lung CT Screening Reporting and Data System (Lung-RADS) e
Autor:
Nayu Hamabuchi, Kaoru Kikukawa, Yasushi Hoshikawa, Masashi Kondo, Yoshiharu Ohno, Hidekazu Hattori, Tetsuya Tsukamoto, Hiroshi Toyama, Masahiko Nomura, Seiichiro Ota, Yoshitaka Inui, Kazuyoshi Imaizumi
Publikováno v:
Journal of Thoracic Imaging. 36:W109-W114
Autor:
Yoshiharu, Ohno, Masao, Yui, Daisuke, Takenaka, Takeshi, Yoshikawa, Hisanobu, Koyama, Yoshimori, Kassai, Kaori, Yamamoto, Yuka, Oshima, Nayu, Hamabuchi, Satomu, Hanamatsu, Yuki, Obama, Takahiro, Ueda, Hirotaka, Ikeda, Hidekazu, Hattori, Kazuhiro, Murayama, Hiroshi, Toyama
Publikováno v:
Journal of magnetic resonance imaging : JMRIReferences. 57(1)
Computed diffusion-weighted imaging (cDWI) is a mathematical computation technique that generates DWIs for any b-value by using actual DWI (aDWI) data with at least two different b-values and may improve differentiation of metastatic from nonmetastat
Autor:
Yoshiharu Ohno, Takeshi Yoshikawa, Daisuke Takenaka, Hisanobu Koyama, Kota Aoyagi, Masao Yui, Yuka Oshima, Nayu Hamabuchi, Yumi Tanaka, Chika Shigemura, Seiichiro Oota, Masahiko Nomura, Kazuhiro Murayama, Yoshitaka Inui, Kaoru Kikukawa, Hiroshi Toyama
Publikováno v:
AJR. American journal of roentgenology. 218(5)
Autor:
Yoshiharu Ohno, Naruomi Akino, Yasuko Fujisawa, Hirona Kimata, Yuya Ito, Kenji Fujii, Yumi Kataoka, Yoshihiro Ida, Yuka Oshima, Nayu Hamabuchi, Chika Shigemura, Ayumi Watanabe, Yuki Obama, Satomu Hanamatsu, Takahiro Ueda, Hirotaka Ikeda, Kazuhiro Murayama, Hiroshi Toyama
Publikováno v:
European radiology.
Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in conjunction with multi-detector CT (MDCT). Moreover, deep learning reconstruction
Autor:
Yuki Obama, Satomu Hanamatsu, Yasuko Fujisawa, Kazuhiro Murayama, Takahiro Ueda, Daisuke Takenaka, Kota Aoyagi, Hiroshi Toyama, Hidekazu Hattori, Yoshiharu Ohno, Naoki Sugihara, Takeshi Yoshikawa, Nayu Hamabuchi
Publikováno v:
Acta radiologica (Stockholm, Sweden : 1987). 63(10)
Background The need for quantitative assessment of interstitial lung involvement on thin-section computed tomography (CT) has arisen in interstitial lung diseases including connective tissue disease (CTD). Purpose To evaluate the capability of machin