Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions

被引:0
|
作者
Sungeun Park
Jeong Hee Yoon
Ijin Joo
Mi Hye Yu
Jae Hyun Kim
Junghoan Park
Se Woo Kim
Seungchul Han
Chulkyun Ahn
Jong Hyo Kim
Jeong Min Lee
机构
[1] Seoul National University Hospital,Department of Radiology
[2] Konkuk University Medical Center,Department of Radiology
[3] Seoul National University College of Medicine,Department of Radiology
[4] Seoul National University Medical Research Center,Institute of Radiation Medicine
[5] Konkuk University Medical Center,Department of Radiology
[6] Konkuk University School of Medicine,Department of Transdisciplinary Studies, Program in Biomedical Radiation Sciences, Graduate School of Convergence Science and Technology
[7] Seoul National University,Center for Medical
[8] Research Institute,IT Convergence Technology Research
[9] Advanced Institutes of Convergence Technology,undefined
来源
European Radiology | 2022年 / 32卷
关键词
Multidetector computed tomography; Deep learning; Radiation dosage;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2865 / 2874
页数:9
相关论文
共 50 条
  • [41] Image Quality Assessment of Low-Dose CT using Hybrid Iterative Reconstruction
    Zhang, Qiao
    Sheng, Jinhua
    Chen, Bin
    JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2021, 65 (06)
  • [42] Low-Dose vs Standard-Dose Alteplase in Acute Lacunar Ischemic Stroke The ENCHANTED Trial
    Zhou, Zien
    Delcourt, Candice
    Xia, Chao
    Yoshimura, Sohei
    Carcel, Cheryl
    Torii-Yoshimura, Takako
    You, Shoujiang
    Malavera, Alejandra
    Chen, Xiaoying
    Hackett, Maree L.
    Woodward, Mark
    Chalmers, John
    Xu, Jianrong
    Robinson, Thompson G.
    Parsons, Mark W.
    Demchuk, Andrew M.
    Lindley, Richard, I
    Mair, Grant
    Wardlaw, Joanna M.
    Anderson, Craig S.
    NEUROLOGY, 2021, 96 (11) : E1512 - E1526
  • [43] Low-Dose vs Standard-Dose Insulin in Pediatric Diabetic Ketoacidosis A Randomized Clinical Trial
    Nallasamy, Karthi
    Jayashree, Muralidharan
    Singhi, Sunit
    Bansal, Arun
    JAMA PEDIATRICS, 2014, 168 (11) : 999 - 1005
  • [44] Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer
    Murphy, Kevin P.
    Crush, Lee
    O'Neill, Siobhan B.
    Foody, James
    Breen, Micheal
    Brady, Adrian
    Kelly, Paul J.
    Power, Derek G.
    Sweeney, Paul
    Bye, Jackie
    O'Connor, Owen J.
    Maher, Michael M.
    O'Regan, Kevin N.
    EUROPEAN JOURNAL OF RADIOLOGY OPEN, 2016, 3 : 38 - 45
  • [45] A NOVEL HYBRID ALGORITHM FOR ACCELERATING CT RECONSTRUCTIONS AND IMPROVING LOW-DOSE IMAGE QUALITY
    Do, Synho
    Karl, W. Clem
    Pien, Homer
    2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 2011, : 1516 - 1519
  • [46] Research progress of deep learning in low-dose CT image denoising
    Zhang, Fan
    Liu, Jingyu
    Liu, Ying
    Zhang, Xinhong
    RADIATION PROTECTION DOSIMETRY, 2023, 199 (04) : 337 - 346
  • [47] Adaptive Iterative Dose Reduction Using 3D Processing for Reduced-and Low-Dose Pulmonary CT: Comparison With Standard-Dose CT for Image Noise Reduction and Radiological Findings
    Ohno, Yoshiharu
    Takenaka, Daisuke
    Kanda, Tomonori
    Yoshikawa, Takeshi
    Matsumoto, Sumiaki
    Sugihara, Naoki
    Sugimura, Kazuro
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2012, 199 (04) : W477 - W485
  • [48] Benchmarking deep learning-based low-dose CT image denoising algorithms
    Eulig, Elias
    Ommer, Bjorn
    Kachelriess, Marc
    MEDICAL PHYSICS, 2024, 51 (12) : 8776 - 8788
  • [49] Assessment of image quality in abdominal CT: potential dose reduction with model-based iterative reconstruction
    Kataria, Bharti
    Althen, Jonas Nilsson
    Smedby, Orjan
    Persson, Anders
    Sokjer, Hannibal
    Sandborg, Michael
    EUROPEAN RADIOLOGY, 2018, 28 (06) : 2464 - 2473
  • [50] Assessment of image quality in abdominal CT: potential dose reduction with model-based iterative reconstruction
    Bharti Kataria
    Jonas Nilsson Althén
    Örjan Smedby
    Anders Persson
    Hannibal Sökjer
    Michael Sandborg
    European Radiology, 2018, 28 : 2464 - 2473