350 rub
Journal Radioengineering №9 for 2016 г.
Article in number:
Informativeness of some characteristics for osteoporosis diagnosis on x ray images
Keywords: osteoporosis diagnosis X ray image characteristics of image structure
Authors:
V.R. Krasheninnikov - Dr. Sc. (Eng.), Professor, Head of Department «Applied Mathematics and Informatics», Ulyanovsk State Technical University E-mail: kvr@ulstu.ru A.A. Boitsov - Student, Department «Applied Mathematics and Informatics», Ulyanovsk State Technical University E-mail: boycov_21@mail.ru D.N. Karusev - Student, Department «Applied Mathematics and Informatics», Ulyanovsk State Technical University E-mail: denkarusev@yandex.ru
Abstract:
At the present time image processing techniques are widely used in solving many scientific and practical problems. Among other things they are used in medical diagnosis based on a variety of medical images. Osteoporosis is a very common disease of the skeletal system, which decreases bone strength. It is often diagnosed after bone fractures, so early diagnosis is of great importance. Diagnosis is made on X ray images. In this paper we propose a few numerical characteristics of images, which are informative enough to diagnose osteoporosis.
Pages: 32-35
References

 

  1. Gajjdel A.V., Pervushkin S.S. Issledovanie teksturnykh priznakov dlja diagnostiki zabolevanijj kostnojj tkani po rentgenovskim izobrazhenijam // Kompjuternaja optika. 2013. T. 37. № 1. S. 113−119.
  2. Vizilter JU.V., ZHeltov S.JU., Bondarenko A.V., Osokov M.V. Obrabotka i analiz izobrazhenijj. M.: Fizmatlit. 2010. 672 s.
  3. Kilina O.JU., Zavadovskaja V.D, Danilchuk R.V., Tretjakov E.M., Rodionova O.V., Baranova O.V. Ocenka mikroarkhitektoniki kostnojj tkani putem cifrovogo analiza kompjuternykh tomogramm dlja diagnostiki osteoporoza // Bjulleten sibirskojj mediciny. 2003. № 2. S. 94−100.
  4. Krasheninnikov V.R., Kopylova A.S. Identification of Pectinate Structures in Images of Blood Serum Facia // Pattern Recognition and Image Analysis. 2011. V. 21. № 3. P. 508−510.
  5. Krasheninnikov V.R., Potapov M.A. Estimating Parameters of Interframe Geometric Transformation of an Image Sequence by the Fixed Point Method // Pattern Recognition and Image Analysis. 2010. V. 20. № 3. P. 316−323.
  6. Vasilev K.K., Krasheninnikov V.R. Statisticheskijj analiz izobrazhenijj. Uljanovsk: UlGTU. 2014. 214 s.
  7. Krasheninnikov V.R., Kadeev A.D. Nakhozhdenie nepodvizhnykh tochek preobrazovanijj koordinat pri ocenivanii parametrov geometricheskojj transformacii izobrazhenijj // Radiotekhnika. 2012. № 9. S. 68−71.