[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 …

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 …

Blind CT image quality assessment via deep learning strategy: initial study

S Li, J He, Y Wang, Y Liao, D Zeng… - … Imaging 2018: Image …, 2018 - spiedigitallibrary.org
Computed Tomography (CT) is one of the most important medical imaging modality. CT
images can be used to assist in the detection and diagnosis of lesions and to facilitate follow …

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 …

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 …

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 …

Low-dose computed tomography perceptual image quality assessment

W Lee, F Wagner, A Galdran, Y Shi, W Xia… - Medical Image …, 2024 - Elsevier
In computed tomography (CT) imaging, optimizing the balance between radiation dose and
image quality is crucial due to the potentially harmful effects of radiation on patients …

Combined global and local information for blind CT image quality assessment via deep learning

Q Gao, S Li, M Zhu, D Li, Z Bian, Q Lv… - … Imaging 2020: Image …, 2020 - spiedigitallibrary.org
Image quality assessment (IQA) is an important step to determine whether the computed
tomography (CT) images are suitable for diagnosis. Since the high dose CT images are …

No-reference perceptual CT image quality assessment based on a self-supervised learning framework

W Lee, E Cho, W Kim, H Choi, KS Beck… - Machine Learning …, 2022 - iopscience.iop.org
Accurate image quality assessment (IQA) is crucial to optimize computed tomography (CT)
image protocols while keeping the radiation dose as low as reasonably achievable. In the …

Perceptual quality assessment of chest radiograph

M Guan, Y Lyu, W Cao, X Wu, J Lu, SK Zhou - Medical Image Computing …, 2021 - Springer
The quality of a chest X-ray image or radiograph, which is widely used in clinics, is a very
important factor affects doctors' clinical decision making. Since there is no chest X-ray image …