Improving image quality of the middle ear with ultra-high-resolution CT coupled with deep-learning image reconstruction algorithm

被引:0
|
作者
Greffier, Joel [1 ]
Soyer, Philippe [2 ,3 ]
Dabli, Djamel [1 ]
机构
[1] Montpellier Univ, Nimes Univ Hosp, Dept Med Imaging, IMAGINE UR UM 103, F-30029 Nimes, France
[2] Univ Paris Cite, Fac Med, F-75006 Paris, France
[3] Hop Cochin, AP HP, Dept Radiol, F-75014 Paris, France
关键词
Deep-learning image reconstruction; algorithms; Middle ear CT; Multidetector computed tomography; Task-based image quality assessment; Ultra-high-resolution CT;
D O I
10.1016/j.diii.2024.02.006
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
引用
收藏
页码:211 / 212
页数:2
相关论文
共 50 条
  • [21] Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT
    Tomo Miyata
    Masahiro Yanagawa
    Akinori Hata
    Osamu Honda
    Yuriko Yoshida
    Noriko Kikuchi
    Mitsuko Tsubamoto
    Shinsuke Tsukagoshi
    Ayumi Uranishi
    Noriyuki Tomiyama
    European Radiology, 2020, 30 : 3324 - 3333
  • [22] Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography
    Nagayama, Yasunori
    Emoto, Takafumi
    Kato, Yuki
    Kidoh, Masafumi
    Oda, Seitaro
    Sakabe, Daisuke
    Funama, Yoshinori
    Nakaura, Takeshi
    Hayashi, Hidetaka
    Takada, Sentaro
    Uchimura, Ryutaro
    Hatemura, Masahiro
    Tsujita, Kenichi
    Hirai, Toshinori
    EUROPEAN RADIOLOGY, 2023, 33 (12) : 8488 - 8500
  • [23] Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT
    Nakamura, Yuko
    Narita, Keigo
    Higaki, Toru
    Akagi, Motonori
    Honda, Yukiko
    Awai, Kazuo
    EUROPEAN RADIOLOGY, 2021, 31 (07) : 4700 - 4709
  • [24] Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT
    Yuko Nakamura
    Keigo Narita
    Toru Higaki
    Motonori Akagi
    Yukiko Honda
    Kazuo Awai
    European Radiology, 2021, 31 : 4700 - 4709
  • [25] Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study
    Greffier, Joel
    Si-Mohamed, Salim
    Frandon, Julien
    Loisy, Maeliss
    de Oliveira, Fabien
    Beregi, Jean Paul
    Dabli, Djamel
    MEDICAL PHYSICS, 2022, 49 (08) : 5052 - 5063
  • [26] Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study
    Greffier, Joel
    Hamard, Aymeric
    Pereira, Fabricio
    Barrau, Corinne
    Pasquier, Hugo
    Beregi, Jean Paul
    Frandon, Julien
    EUROPEAN RADIOLOGY, 2020, 30 (07) : 3951 - 3959
  • [27] Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study
    Joël Greffier
    Aymeric Hamard
    Fabricio Pereira
    Corinne Barrau
    Hugo Pasquier
    Jean Paul Beregi
    Julien Frandon
    European Radiology, 2020, 30 : 3951 - 3959
  • [28] Super-resolution deep-learning reconstruction with 1024 matrix improves CT image quality for pancreatic ductal adenocarcinoma assessment
    Nagayama, Yasunori
    Ishiuchi, Soichiro
    Inoue, Taihei
    Funama, Yoshinori
    Shigematsu, Shinsuke
    Emoto, Takafumi
    Sakabe, Daisuke
    Ueda, Hiroko
    Chiba, Yutaka
    Ito, Yuya
    Kidoh, Masafumi
    Oda, Seitaro
    Nakaura, Takeshi
    Hirai, Toshinori
    EUROPEAN JOURNAL OF RADIOLOGY, 2025, 184
  • [29] Deep-learning reconstruction to improve image quality of myocardial dynamic CT perfusion: comparison with hybrid iterative reconstruction
    Takafuji, M.
    Kitagawa, K.
    Mizutani, S.
    Oka, R.
    Kisou, R.
    Sakaguchi, S.
    Ichikawa, K.
    Izumi, D.
    Sakuma, H.
    CLINICAL RADIOLOGY, 2022, 77 (10) : E771 - E775
  • [30] Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner
    Kakinuma, Ryutaro
    Moriyama, Noriyuki
    Muramatsu, Yukio
    Gomi, Shiho
    Suzuki, Masahiro
    Nagasawa, Hirobumi
    Kusumoto, Masahiko
    Aso, Tomohiko
    Muramatsu, Yoshihisa
    Tsuchida, Takaaki
    Tsuta, Koji
    Maeshima, Akiko Miyagi
    Tochigi, Naobumi
    Watanabe, Shun-ichi
    Sugihara, Naoki
    Tsukagoshi, Shinsuke
    Saito, Yasuo
    Kazama, Masahiro
    Ashizawa, Kazuto
    Awai, Kazuo
    Honda, Osamu
    Ishikawa, Hiroyuki
    Koizumi, Naoya
    Komoto, Daisuke
    Moriya, Hiroshi
    Oda, Seitaro
    Oshiro, Yasuji
    Yanagawa, Masahiro
    Tomiyama, Noriyuki
    Asamura, Hisao
    PLOS ONE, 2015, 10 (09):