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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.
Published in:
European Radiology, 2024, v. 34, n. 2, p. 1065, doi. 10.1007/s00330-023-10105-4
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
Publication type:
Article
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.
Published in:
European Radiology, 2023, v. 33, n. 1, p. 368, doi. 10.1007/s00330-022-08983-1
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
Publication type:
Article
Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations.
Published in:
Acta Radiologica, 2022, v. 63, n. 10, p. 1363, doi. 10.1177/02841851211044973
By:
- Ohno, Yoshiharu;
- Aoyagi, Kota;
- Takenaka, Daisuke;
- Yoshikawa, Takeshi;
- Fujisawa, Yasuko;
- Sugihara, Naoki;
- Hamabuchi, Nayu;
- Hanamatsu, Satomu;
- Obama, Yuki;
- Ueda, Takahiro;
- Hattori, Hidekazu;
- Murayama, Kazuhiro;
- Toyama, Hiroshi
Publication type:
Article
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.
Published in:
Journal of Magnetic Resonance Imaging, 2023, v. 57, n. 1, p. 259, doi. 10.1002/jmri.28288
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
Publication type:
Article
Area-Detector Computed Tomography for Pulmonary Functional Imaging.
Published in:
Diagnostics (2075-4418), 2023, v. 13, n. 15, p. 2518, doi. 10.3390/diagnostics13152518
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
Publication type:
Article
Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging.
Published in:
Diagnostics (2075-4418), 2023, v. 13, n. 13, p. 2295, doi. 10.3390/diagnostics13132295
By:
- Ozawa, Yoshiyuki;
- Ohno, Yoshiharu;
- Nagata, Hiroyuki;
- Tamokami, Keigo;
- Nishikimi, Keitaro;
- Oshima, Yuka;
- Hamabuchi, Nayu;
- Matsuyama, Takahiro;
- Ueda, Takahiro;
- Toyama, Hiroshi
Publication type:
Article
Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.
Published in:
Japanese Journal of Radiology, 2023, v. 41, n. 12, p. 1373, doi. 10.1007/s11604-023-01470-7
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
Publication type:
Article

Found: 7

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.

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.

Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations.

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.

Area-Detector Computed Tomography for Pulmonary Functional Imaging.

Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging.

Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.