Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification

S Xun, M Jiang, P Huang, Y Sun, D Li, Y Luo, H Zhang… - Displays, 2024 - Elsevier
In recent years, especially during the COVID-19 pandemic, a large number of Computerized
Tomography (CT) images are produced every day for the purpose of inspecting lung …

[HTML][HTML] Deep learning-driven multi-view multi-task image quality assessment method for chest CT image

J Su, M Li, Y Lin, L Xiong, C Yuan, Z Zhou… - BioMedical Engineering …, 2023 - Springer
Background Chest computed tomography (CT) image quality impacts radiologists'
diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and …

[HTML][HTML] A deep learning-based automatic image quality assessment method for respiratory phase on computed tomography chest images

J Su, M Li, Y Lin, L Xiong, C Yuan… - Quantitative Imaging in …, 2024 - ncbi.nlm.nih.gov
Background Computed tomography (CT) chest scans have become commonly used in
clinical diagnosis. Image quality assessment (IQA) for CT images plays an important role in …

Charting the Path Forward: CT Image Quality Assessment--An In-Depth Review

S Xun, Q Li, X Liu, G Zhai, M Wu, T Tan - arXiv preprint arXiv:2405.00075, 2024 - arxiv.org
Computed Tomography (CT) is a frequently utilized imaging technology that is employed in
the clinical diagnosis of many disorders. However, clinical diagnosis, data storage, and …

GREAT-IQA: Integrating Global Perception and Local Task-Specific Information for CT Image Quality Assessment

Q Gao, H Shan, D Zeng - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
Image quality assessment (IQA) is a crucial step for computed tomography (CT) system
design and scanning protocol optimization. The lack of high-quality/high-dose and low …

[HTML][HTML] How subjective CT image quality assessment becomes surprisingly reliable: pairwise comparisons instead of Likert scale

EJI Hoeijmakers, B Martens, BMF Hendriks, C Mihl… - European …, 2024 - Springer
Objectives The aim of this study is to improve the reliability of subjective IQ assessment
using a pairwise comparison (PC) method instead of a Likert scale method in abdominal CT …

[PDF][PDF] Automatic no-reference quality assessment in chest radiographs based on deep convolutional neural networks

Y Meng, Y Gao, J Jin, J Ruan, L He, Q Shen, X Gong - 2022 - scholar.archive.org
Background: Chest radiography is the most frequently performed examinations in the
department of radiology. The image quality plays an essential role in further decision making …

[HTML][HTML] Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study

M Chun, JH Choi, S Kim, C Ahn, JH Kim - PLoS One, 2022 - journals.plos.org
While the recent advancements of computed tomography (CT) technology have contributed
in reducing radiation dose and image noise, an objective evaluation of image quality in …

Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images

W Lee, E Cho, W Kim, JH Choi - Medical Imaging 2022: Image …, 2022 - spiedigitallibrary.org
Objective image quality metrics (IQMs) are widely developed and utilized, considering that
they can lead to optimal radiation doses in computed tomography (CT) imaging. However …

Evaluation of automatic image quality assessment in chest CT–A human cadaver study

C Franck, A De Crop, B De Roo, P Smeets… - Physica Medica, 2017 - Elsevier
Purpose The evaluation of clinical image quality (IQ) is important to optimize CT protocols
and to keep patient doses as low as reasonably achievable. Considering the significant …