Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Color contrasting in the post-processing of computed tomography medical images. / Kamyshanskaya, I. G.; Cheremisin, V. M.; Shekhtman, K. V.; Mazurov, A. I.; Denisov, A. K.
7th International Conference on X-Ray, Electrovacuum and Biomedical Technique. ed. / Nikolay N. Potrakhov; Artem Gryaznov; D. K. Kostrin. American Institute of Physics, 2021. 020010 (AIP Conference Proceedings; Vol. 2356).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Color contrasting in the post-processing of computed tomography medical images
AU - Kamyshanskaya, I. G.
AU - Cheremisin, V. M.
AU - Shekhtman, K. V.
AU - Mazurov, A. I.
AU - Denisov, A. K.
N1 - Publisher Copyright: © 2021 Author(s).
PY - 2021/6/15
Y1 - 2021/6/15
N2 - In this study, we used the method of color contrasting in computed radiography images post-processing. This method is based on the color vision quantum hypothesis and ensures the psychological compatibility between the colored radiography image and the original one. The study was conducted using the example of X-ray computed images of the brain of patients with acute cerebrovascular accident as well as computed radiography images of the chest organs of patients with coronavirus pneumonia. As a result, the diagnostic information was visually optimized after color post- processing of X-ray images. The study showed a qualitative increase in the efficiency of diagnosis of some acute diseases due to the use of our proprietary color contrasting method in the post-processing of X-ray computed images.
AB - In this study, we used the method of color contrasting in computed radiography images post-processing. This method is based on the color vision quantum hypothesis and ensures the psychological compatibility between the colored radiography image and the original one. The study was conducted using the example of X-ray computed images of the brain of patients with acute cerebrovascular accident as well as computed radiography images of the chest organs of patients with coronavirus pneumonia. As a result, the diagnostic information was visually optimized after color post- processing of X-ray images. The study showed a qualitative increase in the efficiency of diagnosis of some acute diseases due to the use of our proprietary color contrasting method in the post-processing of X-ray computed images.
UR - http://www.scopus.com/inward/record.url?scp=85109581505&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c1a99a86-6bff-3274-b2f3-09c8954aac52/
U2 - 10.1063/5.0053675
DO - 10.1063/5.0053675
M3 - Conference contribution
AN - SCOPUS:85109581505
T3 - AIP Conference Proceedings
BT - 7th International Conference on X-Ray, Electrovacuum and Biomedical Technique
A2 - Potrakhov, Nikolay N.
A2 - Gryaznov, Artem
A2 - Kostrin, D. K.
PB - American Institute of Physics
T2 - 7th International Conference on X-Ray, Electrovacuum and Biomedical Technique
Y2 - 26 November 2020 through 27 November 2020
ER -
ID: 86367713