3 years ago

Quantitative study of total variation (TV) noise reduction algorithm with chest X-ray imaging

The noise in chest X-ray image causes the decrease in the pulmonary nodule diagnosis accuracy and the increase in the misdiagnosis rate. For this reason, the noise decrease is very important in the diagnosis image, and total variation (TV) noise reduction algorithm was suggested and developed in a very effective method. In this study, we quantitatively evaluated and analyzed image performances as function of acquisition parameter in chest X-ray image using TV noise reduction algorithm. We performed simulation study with MATLAB and experimental study in chest X-ray image for evaluation of image performance. For that purpose, median filter, Anscombe's transform and proposed TV noise reduction algorithm were modeled to apply to each image. We acquired image with respect to the mAs (1.2, 3.6 and 5.9) at fixed 120 kVp. Also, we acquired image with respect to the kVp (70, 90 and 110) at fixed 3.8 mAs. Normalized noise power spectrum (NNPS), coefficient of ...

Publisher URL: http://iopscience.iop.org/1748-0221/13/01/T01006

DOI: 10.1088/1748-0221/13/01/T01006

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