Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study

被引：0

作者：

Hye Joo Park

Seo-Youn Choi

Ji Eun Lee

Sanghyeok Lim

Min Hee Lee

Boem Ha Yi

Jang Gyu Cha

Ji Hye Min

Bora Lee

Yunsub Jung

机构：

[1] Soonchunhyang University Bucheon Hospital,Department of Radiology

[2] Soonchunhyang University College of Medicine,Department of Radiology and Center for Imaging Science

[3] Samsung Medical Center,Institue of Public Health and Environment

[4] Sungkyunkwan University School of Medicine,Department of Statistics

[5] Seoul National University,undefined

[6] Chung-Ang University,undefined

[7] GE Healthcare Co.,undefined

[8] Ltd,undefined

来源：

European Radiology | 2022年 / 32卷

关键词：

Multidetector computed tomography; Image reconstruction; Artificial intelligence;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：3974 / 3984

页数：10

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[1] Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study
Park, Hye Joo
Choi, Seo-Youn
Lee, Ji Eun
Lim, Sanghyeok
Lee, Min Hee
Yi, Boem Ha
Cha, Jang Gyu
Min, Ji Hye
Lee, Bora
Jung, Yunsub
[J]. EUROPEAN RADIOLOGY, 2022, 32 (06) : 3974 - 3984
[2] Iterative Reconstruction Algorithm for Abdominal Multidetector CT at Different Tube Voltages: Assessment of Diagnostic Accuracy, Image Quality, and Radiation Dose in a Phantom Study
Schindera, Sebastian T.
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Mueller, Hubert C.
Rusch, Oliver
Marin, Daniele
Schmidt, Bernhard
Raupach, Rainer
Vock, Peter
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[J]. RADIOLOGY, 2011, 260 (02) : 454 - 462
[3] Effect of Tube Voltage and Radiation Dose on Image Quality in Pediatric Abdominal CT Using Deep Learning Reconstruction: A Phantom Study
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[4] Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study
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[J]. EUROPEAN RADIOLOGY, 2020, 30 (07) : 3951 - 3959
[5] Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study
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[J]. European Radiology, 2020, 30 : 3951 - 3959
[6] Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study
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[J]. European Radiology, 2023, 33 : 699 - 710
[7] Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study
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[J]. EUROPEAN RADIOLOGY, 2023, 33 (01) : 699 - 710
[8] Comparative study of image quality and radiation dose in thoracic-abdominal-pelvic CT Enhancement with different tube voltages and reconstruction algorithms
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[J]. JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2024, 17 (04)
[9] Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study
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[J]. MEDICAL PHYSICS, 2021, 48 (10) : 5743 - 5755
[10] Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: A phantom study
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[J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2021, 81 : 86 - 93

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