Application of deep learning–based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time

被引：0
|
作者：
Malwina Kaniewska
Eva Deininger-Czermak
Jonas M. Getzmann
Xinzeng Wang
Maelene Lohezic
Roman Guggenberger
机构：
[1] University Hospital Zurich (USZ),Institute of Diagnostic and Interventional Radiology
[2] University of Zurich (UZH),Department of Forensic Medicine and Imaging, Institute of Forensic Medicine
[3] University of Zurich,Global MR Applications & Workflow
[4] GE Healthcare,Applications & Workflow
[5] GE Healthcare,undefined
来源：
European Radiology | 2023年 / 33卷
关键词：
Magnetic resonance imaging; Deep learning; Convolutional neural network; Shoulder joint; Radial k-space acquisition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1513 / 1525
页数：12
相关论文
共 50 条
  • [31] Advanced deep learning-based image reconstruction in lumbar spine MRI at 0.55 T - Effects on image quality and acquisition time in comparison to conventional deep learning-based reconstruction
    Schlicht, Felix
    Vosshenrich, Jan
    Donners, Ricardo
    Seifert, Alina Carolin
    Fenchel, Matthias
    Nickel, Dominik
    Obmann, Markus
    Harder, Dorothee
    Breit, Hanns-Christian
    EUROPEAN JOURNAL OF RADIOLOGY OPEN, 2024, 12
  • [32] IMAGE QUALITY AFFECTS DEEP LEARNING RECONSTRUCTION OF MRI
    Jeelani, Haris
    Martin, Jonathan
    Vasquez, Francis
    Salerno, Michael
    Weller, Daniel S.
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 357 - 360
  • [33] Reconstruction of Compressed-sensing MR Imaging Using Deep Residual Learning in the Image Domain
    Ouchi, Shohei
    Ito, Satoshi
    MAGNETIC RESONANCE IN MEDICAL SCIENCES, 2021, 20 (02) : 190 - 203
  • [34] Effect of deep learning image reconstruction with high-definition standard scan mode on image quality of coronary stents and arteries
    Liu, Mingming
    Chen, Xiuzhen
    Liu, Weimin
    Guo, Yuefei
    Zhu, Yanqiu
    Huang, Wanyue
    Duan, Yani
    Kong, Wei
    Yan, Cui
    Qin, Jie
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2024, 14 (02) : 1616 - 1635
  • [35] Deep Learning Reconstruction Helps to Achieve Diagnosticlike Image Quality in MR Radiation Therapy of Brain
    Kadbi, M.
    Berkeley, D.
    Tymkiw, B.
    Do, H.
    Kelly, E.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E92 - E92
  • [36] Deep learning-based reconstruction can improve the image quality of low radiation dose head CT
    Yasunori Nagayama
    Koya Iwashita
    Natsuki Maruyama
    Hiroyuki Uetani
    Makoto Goto
    Daisuke Sakabe
    Takafumi Emoto
    Kengo Nakato
    Shinsuke Shigematsu
    Yuki Kato
    Sentaro Takada
    Masafumi Kidoh
    Seitaro Oda
    Takeshi Nakaura
    Masahiro Hatemura
    Mitsuharu Ueda
    Akitake Mukasa
    Toshinori Hirai
    European Radiology, 2023, 33 : 3253 - 3265
  • [37] Deep learning-based reconstruction can improve the image quality of low radiation dose head CT
    Nagayama, Yasunori
    Iwashita, Koya
    Maruyama, Natsuki
    Uetani, Hiroyuki
    Goto, Makoto
    Sakabe, Daisuke
    Emoto, Takafumi
    Nakato, Kengo
    Shigematsu, Shinsuke
    Kato, Yuki
    Takada, Sentaro
    Kidoh, Masafumi
    Oda, Seitaro
    Nakaura, Takeshi
    Hatemura, Masahiro
    Ueda, Mitsuharu
    Mukasa, Akitake
    Hirai, Toshinori
    EUROPEAN RADIOLOGY, 2023, 33 (05) : 3253 - 3265
  • [38] Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T
    Jeon, Young Hun
    Park, Chanrim
    Lee, Kyung Hoon
    Choi, Kyu Sung
    Lee, Ji Ye
    Hwang, Inpyeong
    Yoo, Roh-Eul
    Yun, Tae Jin
    Choi, Seung Hong
    Kim, Ji-Hoon
    Sohn, Chul-Ho
    Kang, Koung Mi
    NEURORADIOLOGY, 2025,
  • [39] Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
    Anushri Parakh
    Jinjin Cao
    Theodore T. Pierce
    Michael A. Blake
    Cristy A. Savage
    Avinash R. Kambadakone
    European Radiology, 2021, 31 : 8342 - 8353
  • [40] Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction
    Ann-Christin Klemenz
    Lasse Albrecht
    Mathias Manzke
    Antonia Dalmer
    Benjamin Böttcher
    Alexey Surov
    Marc-André Weber
    Felix G. Meinel
    Scientific Reports, 14
12345