Development of an algorithm to automatically compress a CT image to visually lossless threshold

To develop an algorithm to predict the visually lossless thresholds (VLTs) of CT images solely using the original images by exploiting the image features and DICOM header information for JPEG2000 compression and to evaluate the algorithm in comparison with pre-existing image fidelity metrics. Five r...

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Bibliographic Details
Published in:	BMC medical imaging Vol. 18; no. 1; pp. 53 - 9
Main Authors:	Nam, Chang-Mo, Lee, Kyong Joon, Ko, Yousun, Kim, Kil Joong, Kim, Bohyoung, Lee, Kyoung Ho
Format:	Journal Article
Language:	English
Published:	England BioMed Central Ltd 17-12-2018 BioMed Central BMC
Subjects:	Adult Algorithms CAT scans Compression Compression tests Computed tomography Computer applications Computing time Correlation analysis Costs CT compression Data Compression - methods Dependent variables DICOM header Digital imaging Humans Image coding Image compression Independent variables Linear Models Linear models (Statistics) Medical imaging Noise Performance evaluation Radiographic Image Interpretation, Computer-Assisted - methods Radiography, Abdominal - methods Regression analysis Regression models Reproducibility of Results Researchers Signal-To-Noise Ratio Statistical analysis Technical Advance Tomography Tomography, X-Ray Computed Training Variables Variance analysis Visual signals Visually lossless threshold Wavelet transforms DICOM header CT compression Visually lossless threshold
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