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11 September 2024 Automatic detection method for CT image quality control
Chenkai Song, Juntong Shen, Xiaozhao Chen
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Proceedings Volume 13270, International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024); 1327007 (2024) https://doi.org/10.1117/12.3044807
Event: 2024 International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024), 2024, Shenyang, China
Abstract
CT plays an irreplaceable role in modern medical diagnosis, and their quality directly affects doctors' judgment of diseases. Therefore, realizing the quality control of CT images to ensure that the image quality meets the diagnostic standards is an important measure to guarantee the medical quality and patient safety. In this paper, MATLAB is used as a tool to realize the automated detection of CT quality control, and the detection items include CT number of water, noise and layer thickness. The program is written to replace the manual detection steps to realize the measurement automation, and the interface is designed to form an APP through APP Designer. Experiments show that the automatic detection results of this software are more accurate and less time-consuming than the traditional way, which can be used for CT quality control detection.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Chenkai Song, Juntong Shen, and Xiaozhao Chen "Automatic detection method for CT image quality control", Proc. SPIE 13270, International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024), 1327007 (11 September 2024); https://doi.org/10.1117/12.3044807
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KEYWORDS
Computed tomography
Quality control
X-ray computed tomography
Design
Image segmentation
Image quality
Image processing
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