Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tomo Miyata"'
Autor:
Tomo Miyata, Masahiro Yanagawa, Noriko Kikuchi, Kazuki Yamagata, Yukihisa Sato, Yuriko Yoshida, Mitsuko Tsubamoto, Noriyuki Tomiyama
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract To compare the quality of CT images of the lung reconstructed using deep learning-based reconstruction (True Fidelity Image: TFI ™; GE Healthcare) to filtered back projection (FBP), and to determine the minimum tube current–time product
Externí odkaz:
https://doaj.org/article/40668b28426a4cef989bb853f413c9b0
Autor:
Akinori Hata, Masahiro Yanagawa, Mitsuko Tsubamoto, Shuhei Doi, Yuriko Yoshida, Tomo Miyata, Noriko Kikuchi, Nobuo Kashiwagi, Noriyuki Tomiyama
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Abstract To investigate the prevalence of nodular pulmonary ossifications (POs) in patients with honeycombing on ultra-high-resolution CT (UHRCT) and to compare the detectability of nodular POs between images reconstructed using the ultra-high-resolu
Externí odkaz:
https://doaj.org/article/b72efe5c600c405b9b0ffe656801aefa
Autor:
Yuriko Yoshida, Masahiro Yanagawa, Akinori Hata, Yukihisa Sato, Mitsuko Tsubamoto, Shuhei Doi, Kazuki Yamagata, Tomo Miyata, Noriko Kikuchi, Noriyuki Tomiyama
Publikováno v:
European Journal of Radiology Open, Vol 8, Iss , Pp 100362- (2021)
Objectives: To compare high-resolution (HR) and conventional (C) settings of high-spatial-resolution computed tomography (CT) for software volumetry of ground-glass nodules (GGNs) in phantoms and patients. Methods: We placed −800 and −630 HU sphe
Externí odkaz:
https://doaj.org/article/3c9625af701b4f758995ae5f6496e9a2
Autor:
Yuriko Yoshida, Nobuo Kashiwagi, Akinori Hata, Noriyuki Tomiyama, Noriko Kikuchi, Masahiro Yanagawa, Tomo Miyata, Mitsuko Tsubamoto, Shuhei Doi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Scientific Reports
Scientific Reports
To investigate the prevalence of nodular pulmonary ossifications (POs) in patients with honeycombing on ultra-high-resolution CT (UHRCT) and to compare the detectability of nodular POs between images reconstructed using the ultra-high-resolution sett
Autor:
Tomo Miyata, Mitsuko Tsubamoto, Yuriko Yoshida, Masahiro Yanagawa, Osamu Honda, Akinori Hata, Noriyuki Tomiyama
Publikováno v:
American Journal of Roentgenology. 215:1321-1328
OBJECTIVE. The objective of our study was to assess the effect of the combination of deep learning-based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung Imaging Reporting and Data System (Lung-RADS) evaluation on chest ult
Autor:
Akinori Hata, Yuriko Yoshida, Mitsuko Tsubamoto, Noriko Kikuchi, Yukihisa Satoh, Noriyuki Tomiyama, Tomo Miyata, Masahiro Yanagawa, Hiroyuki Kurakami
Publikováno v:
Radiology. 297:462-471
Background High-spatial-resolution (HSR) CT provides detailed information and clear delineation of lung anatomy and disease states. HSR CT may have high diagnostic performance for predicting invasiveness of lung adenocarcinoma. Purpose To examine the
Autor:
Hajime Nagahara, Noriko Kikuchi, Tomo Miyata, Jun Miyake, Shohei Yamasaki, Akinori Hata, Yuriko Yoshida, Kazuo Awai, Mitsuko Tsubamoto, Shoji Kido, Masahiko Kusumoto, Hirohiko Niioka, Noriyuki Tomiyama, Masahiro Yanagawa, Yukihisa Satoh
Publikováno v:
European Radiology. 31:1978-1986
To compare diagnostic performance for pulmonary invasive adenocarcinoma among radiologists with and without three-dimensional convolutional neural network (3D-CNN). Enrolled were 285 patients with adenocarcinoma in situ (AIS, n = 75), minimally invas
Autor:
Noriyuki Tomiyama, Mitsuko Tsubamoto, Yuriko Yoshida, Masahiro Yanagawa, Noriko Kikuchi, Ayumi Uranishi, Osamu Honda, Akinori Hata, Shinsuke Tsukagoshi, Tomo Miyata
Publikováno v:
European Radiology
Objectives This study was conducted in order to compare the effect of field of view (FOV) size on image quality between ultra-high-resolution CT (U-HRCT) and conventional high-resolution CT (HRCT). Methods Eleven cadaveric lungs were scanned with U-H
Autor:
Noriko Kikuchi, Mitsuko Tsubamoto, Masahiro Yanagawa, Yuki Matsui, Noriyuki Tomiyama, Ryutaro Hosomi, Tomo Miyata, Seiji Taniguchi, Yukihisa Sato, Akinori Hata, Yasushi Shintani, Yuriko Yoshida
Publikováno v:
Journal of thoracic imaging. 35(6)
Autor:
Noriko Kikuchi, Yuriko Yoshida, Mitsuko Tsubamoto, Shoji Kido, Tomo Miyata, Noriyuki Tomiyama, Shuhei Doi, Akinori Hata, Kazuki Yamagata, Atsushi Kawata, Masahiro Yanagawa, Yuuki Suzuki
Publikováno v:
European radiology. 31(2)
To develop a deep learning–based algorithm to detect aortic dissection (AD) and evaluate the diagnostic ability of the algorithm compared with those of radiologists. Included in the study were 170 patients (85 with AD and 85 without AD). An AD dete