Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Toshiharu, Miyoshi"'
Autor:
Tetsuro Kaga, Yoshifumi Noda, Takayuki Mori, Nobuyuki Kawai, Toshiharu Miyoshi, Fuminori Hyodo, Hiroki Kato, Masayuki Matsuo
Publikováno v:
Japanese Journal of Radiology. 40:703-711
Purpose To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in unenhanced abdominal low-dose CT (LDCT). Materials and methods Two patient groups were included in this prospective study: 58 consecutive patients who und
Autor:
Hiroshi, Kawada, Shinichi, Shoda, Toshiharu, Miyoshi, Masaki, Takasu, Yukichi, Tanahashi, Ryota, Iwasaki, Shoma, Nagata, Nobuyuki, Kawai, Yoshifumi, Noda, Satoshi, Goshima, Fuminori, Hyodo, Takashi, Mori, Masayuki, Matsuo
Publikováno v:
CardioVascular and Interventional Radiology. 45:705-708
To define the radiological arterial anatomy in mature microminipigs as a pre-clinical research animal model in interventional radiology.Five female microminipigs (weighing 20.9 ± 2.9 kg) were used in this study. Under general anesthesia, computed to
Autor:
Fuminori Hyodo, Yoshifumi Noda, T Kawamura, Hiroki Kato, Masayuki Matsuo, Toshiharu Miyoshi, Fumihiko Nakamura, Nobuyuki Kawai, Tetsuro Kaga
Publikováno v:
Clinical Radiology. 77:e138-e146
To evaluate the computed tomography (CT) attenuation values, background noise, arterial depiction, and image quality in whole-body dual-energy CT angiography (DECTA) at 40 keV with a reduced iodine dose using deep-learning image reconstruction (DLIR)
Autor:
Naoki Kamiya, Ami Oshima, Xiangrong Zhou, Hiroki Kato, Takeshi Hara, Toshiharu Miyoshi, Masayuki Matsuo, Hiroshi Fujita
Publikováno v:
Applied Sciences, Vol 10, Iss 13, p 4477 (2020)
This study aimed to develop and validate an automated segmentation method for surface muscles using a three-dimensional (3D) U-Net based on selective voxel patches from whole-body computed tomography (CT) images. Our method defined a voxel patch (VP)
Externí odkaz:
https://doaj.org/article/09b56049a604488183436add86732387
Autor:
Yoshifumi Noda, Yukiko Takai, Masashi Asano, Nao Yamada, Takuya Seko, Nobuyuki Kawai, Tetsuro Kaga, Toshiharu Miyoshi, Fuminori Hyodo, Hiroki Kato, Masayuki Matsuo
Publikováno v:
European journal of radiology. 159
To compare the image quality and conspicuity of pancreatic ductal adenocarcinoma (PDAC) between the low-kVp and dual-energy pancreatic protocol CT reconstructed with deep-learning image reconstruction (DLIR).A cohort of 111 consecutive patients (medi
Autor:
Takuma Ishihara, Nobuyuki Kawai, Toshiharu Miyoshi, Fuminori Hyodo, Fumihiko Nakamura, Avinash Kambadakone, Ryosuke Suzuki, Yoshifumi Noda, Masayuki Matsuo
Publikováno v:
Radiology. 300:615-623
Background The bolus-tracking technique from single-energy CT has been applied to dual-energy CT (DECT) without optimization or validation. Further optimization is imperative because of a paucity of literature and differences in the attenuation profi
Autor:
Yoshifumi Noda, Nobuyuki Kawai, Tomotaka Kawamura, Akikazu Kobori, Rena Miyase, Ken Iwashima, Tetsuro Kaga, Toshiharu Miyoshi, Fuminori Hyodo, Hiroki Kato, Masayuki Matsuo
Publikováno v:
The British journal of radiology. 95(1134)
Objective To evaluate the feasibility of a simultaneous reduction of radiation and iodine doses in dual-energy thoraco-abdomino-pelvic CT reconstructed with deep learning image reconstruction (DLIR). Methods: Thoraco-abdomino-pelvic CT was prospectiv
Autor:
Tetsuro Kaga, Nobuyuki Kawai, Fuminori Hyodo, Takuma Ishihara, Masayuki Matsuo, Yoshiki Tsuboi, Toshiharu Miyoshi, Yoshifumi Noda
Publikováno v:
Br J Radiol
Objectives: To determine the optimal scan delay corresponding to individual hemodynamic status for pancreatic parenchymal phase in dynamic contrast-enhanced CT of the abdomen. Methods: One hundred and fourteen patients were included in this retrospec
Autor:
Hiroki Kato, Fumihiko Nakamura, Nobuyuki Kawai, Takayuki Mori, Shoma Nagata, Ryosuke Suzuki, Yoshifumi Noda, Fuminori Hyodo, Toshiharu Miyoshi, Masayuki Matsuo, Fumiya Kitahara
Publikováno v:
European radiology. 32(1)
To evaluate the image quality and iodine concentration (IC) measurements in pancreatic protocol dual-energy computed tomography (DECT) reconstructed using deep learning image reconstruction (DLIR) and compare them with those of images reconstructed u
Autor:
Noriyuki Yasuda, Hiroshi Kawada, Fuminori Hyodo, Toshiharu Miyoshi, Fumihiko Nakamura, Yoshifumi Noda, Nobuyuki Kawai, Masayuki Matsuo
Publikováno v:
Br J Radiol
Objectives: To assess the feasibility of whole-body dual-energy computed tomographic angiography (DECTA) at 40 keV with 50% reduced iodine dose protocol. Methods: Whole-body CTA was performed in 65 patients; 31 of these patients underwent 120 kVp sin