29 August 2016 A computer method to analyse the impact of ultrasound frequency on the brightness of USG images of muscle cross-sections
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003335 (2016) https://doi.org/10.1117/12.2248338
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
A total number of 270 ultrasound images of m. longissimus behind the 13th thoracic vertebrae were obtained on 90 lamb carcasses. Three different scanning frequencies were used (5.0, 7.5 and 10.0 MHz) in order to analyse how the frequency of the ultrasound wave affects the changes of pixel brightness in the ultrasound image. In the images obtained with 10 MHz probe the brightness of the 1st region was higher by 27% and 25% (P≤0.01) compared to the same region of images obtained with 5 MHz and 7.5 MHz frequency probe. The 3rd region of muscle cross-sections obtained with 10 MHz frequency was very dark, with the brightness lower by 22,5% and 28,3% compared to the same region of images obtained with 5 MHz and 7.5 MHz frequency. In the images obtained with 10 MHz scanning frequency, the decrease of brightness from the 1st to the 3rd region of the image was very sharp. While in the images obtained by means of 5 and 7.5 MHz ultrasound frequency, the brightness changes between the regions were very fluent. To conclude, the results of the presented research reveal that high ultrasound frequency has a negative impact on ultrasound image brightness and may reduce the information value of the image.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Ludwiczak, M. Stanisz, D. Lisiak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, D. Wojcieszak, J. Przybył, M. Bykowska, R. J. Kozłowski, P. Ślósarz, "A computer method to analyse the impact of ultrasound frequency on the brightness of USG images of muscle cross-sections", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003335 (29 August 2016); doi: 10.1117/12.2248338; https://doi.org/10.1117/12.2248338
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