Impact of a Deep Learning-based Super-resolution Image Reconstruction Technique on High-contrast Computed Tomography: A Phantom Study-Reference-Cited by-同舟云学术

Impact of a Deep Learning-based Super-resolution Image Reconstruction Technique on High-contrast Computed Tomography: A Phantom Study

Published:2023-11 Issue:11 Volume:30 Page:2657-2665
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Sato Hideyuki,Fujimoto Shinichiro,Tomizawa Nobuo,Inage Hidekazu,Yokota Takuya,Kudo Hikaru,Fan Ruiheng,Kawamoto Keiichi,Honda Yuri,Kobayashi Takayuki,Minamino Tohru,Kogure Yosuke

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference21 articles.

1. State of the art: iterative CT reconstruction techniques;Geyer;Radiology,2015

2. Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging;Nakaura;Neuroradiology,2016

3. Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary ct angiography;Leipsic;AJR Am J Roentgenol.,2010

4. Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique-comparison with traditional filtered back projection;Moscariello;Eur. Radiol.,2011

5. Adaptive iterative dose reduction in coronary CT angiography using 320-row CT: Assessment of radiation dose reduction and image quality;Tomizawa;J Cardiovasc Comput Tomogr.,2012

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Super-resolution deep-learning reconstruction for cardiac CT: impact of radiation dose and focal spot size on task-based image quality;Physical and Engineering Sciences in Medicine;2024-06-17

2. Ultra-high-resolution CT of the temporal bone: Comparison between deep learning reconstruction and hybrid and model-based iterative reconstruction;Diagnostic and Interventional Imaging;2024-06

3. Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study;European Journal of Radiology Open;2024-06

4. Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography;British Journal of Radiology;2024-05-11

5. Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography;Radiology Advances;2024-03-19