Journal of Veterinary Clinics (한국임상수의학회지)

The Korean Society of Veterinary Clinics (한국임상수의학회)
권호 표지

Comparative Assessment of Fractal Analysis and Histogram in Canine Abdominal Ultrasonographic Images

개 복부초음파영상의 프랙탈 분석과 히스토그램 분석의 비교평가

  • Choi, Ho-Jung (College of Veterinary Medicine, Chungnam National University) ;
  • Lee, Young-Won (College of Veterinary Medicine, Chungnam National University) ;
  • Jung, In-Jo (Research Institute of Life Sciences, Gyeongsang National University) ;
  • Wang, Ji-Hwan (Research Institute of Life Sciences, Gyeongsang National University) ;
  • Lee, Kyung-Woo (School of Medicine, Gyeongsang National University) ;
  • Yeon, Seong-Chan (Research Institute of Life Sciences, Gyeongsang National University) ;
  • Lee, Hyo-Jong (Research Institute of Life Sciences, Gyeongsang National University) ;
  • Lee, Hee-Chun (Research Institute of Life Sciences, Gyeongsang National University)
  • 최호정 (충남대학교 수의과대학) ;
  • 이영원 (충남대학교 수의과대학) ;
  • 정인조 (경상대학교 생명과학연구원) ;
  • 왕지완 (경상대학교 생명과학연구원) ;
  • 이경우 (경상대학교 의과대학) ;
  • 연성찬 (경상대학교 생명과학연구원) ;
  • 이효종 (경상대학교 생명과학연구원) ;
  • 이희천 (경상대학교 생명과학연구원)
  • Published : 2007.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study was carried out to show at the fractal analysis complements the practical disadvantage of gray level histogram which is designed to measure the quantitative classification of echo patterns in ultrasonographic image of parenchymal organs such as spleen and kidney and it is a practical method of measurement for quantitative classification. By using ultrasonographs, kidney and spleen of 21 healthy Beagles were fixed under different gain settings to be scanned for echo patterns and results were analyzed with body gray level histogram and fractal analysis. Then it was compared based on the statistical data obtained. Although there was a proportionate increase in histogram along with gain settings, there were consistencies in the fractal dimension. In terms of quantitative analysis in ultrasonographic images, fractal analysis is concluded to complement the practical disadvantage of gray level histogram.

Keywords

References

  1. Acorda JA, Yamada H, Ghamsari SM. Comparative evaluation of fatty infiltration of the liver in dairy cattle by using blood and serum analysis ultrasonography, and digital analysis. Veterinary Quarterly 1995; 17; 12-14
  2. Acorda JA, Yamada H, Ghamsari SM. Comparative evaluation of hydropic degeneration of the liver in dairy cattle through biochemistry, ultrasonography and digital analysis. Vet Radiol 1995; 36(4); 322-326 https://doi.org/10.1111/j.1740-8261.1995.tb00269.x
  3. Acorda JA, Yamada H, Ghamsari Sm. Ultrasonography features of diffuse hepatocellular disorders in dairy cattle. Vet Radiol 1994; 35(3); 196-200 https://doi.org/10.1111/j.1740-8261.1994.tb01592.x
  4. Acorda JA, Yamada H, Ghamsari SM. Ultrasonography of fatty infiltration of the liver in dairy cattle using liver-kidney contrast. Vet Radiol 1994; 35; 400-404 https://doi.org/10.1111/j.1740-8261.1994.tb02061.x
  5. Allison JW, Barr LL, Massoth RJ, Berg GP, Krasner BH, Garra BS. Understanding the process of quantitiative ultrasonic tissue characterization. Radiographics 1994; 14; 1099-1108 https://doi.org/10.1148/radiographics.14.5.7991816
  6. Avnir D, Farin D, Pfeelfer P. Molecular fractal surface. Nature 1984; 308; 261-263 https://doi.org/10.1038/308261a0
  7. Burrough PA. Fractal dimensions of landscapes and other enviromental data. Nature 1981; 294; 240-242 https://doi.org/10.1038/294240a0
  8. Caldwell CB, Stapleton SJ, Holdsworth DW, et al. Characterisation of mammographic parenchymal pattern by fractal dimension. Phys Med Biol 1990; 35; 235-247 https://doi.org/10.1088/0031-9155/35/2/004
  9. Cargill EB, Barret HH, Fiete RD, Ker M, Patton DD, Seeley GW. Fractal physiology and nuclear-medicine scans. SPIE Proc Medical Imaging III 1989; 1092; 2-9
  10. Chen DR, Canag RF, Chen CF, Ho MF, Kuo SJ, Chen ST, Hung SJ, Moon WK. Classification of breast ultrasound images using fractal feature. Journal of clinical imaging 2005; 29; 235-245 https://doi.org/10.1016/j.clinimag.2004.11.024
  11. Cook JH, Rosenfield AT, Taylor KJ. Ultrasonic demonstration of intrarenal anatomy. Am J Roentgenol 1997; 129; 831-835
  12. Feder J, Fractals. New York: Plenum Press 1988; 184-189
  13. Garra BS, Insana MF, Shawker TH, Russell MA. Quantitative estimation of liver attenuation and echogenicity : Normal state versus diffuse liver disease. Radiology 1987; 162; 61-67 https://doi.org/10.1148/radiology.162.1.3538154
  14. Geraets WG, van der Stelt PF. Fractal properties of bone. Dentomaxillofac Radiol 2000; 29; 144-53 https://doi.org/10.1038/sj.dmfr.4600524
  15. Guenter L, Ivan Z, Adolf L, Heide Z, Uwe H, Peter B, Gerhard VK, Ulrich R. Computerized ultrasound b-scan texture analysis of experimental diffuse parenchymal liver disease: Correlation with histopathology and tissue comparison. J Clin Ultrasoud 1991; 19; 93-201 https://doi.org/10.1002/jcu.1870190206
  16. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybernet 1973; SMC-3; 610-621 https://doi.org/10.1109/TSMC.1973.4309314
  17. Kurtz AB, Dubbins PA, Rubin CS, Kurtz RJ, Cooper HS, Catherine CB, Goldberg BB. Echogenicity : Analysis Significance, and Masking. A J R 1981; 137; 471-476
  18. Lamont AC, Pelmore JM, Thompson JR, Leonard NW. Ultrasound assessment of liver and kidney brightness in infants : Use of the gray level histogram. Invest Radiol 1994; 30(4); 232-238 https://doi.org/10.1097/00004424-199504000-00006
  19. Laurence N, Kurtz, AB, Rifkin MD, Cooper HS, Pasto ME, Goldberg BB. Sonography of diffuse benign liver disease : Accuracy of patern recognition and grading. A J R 1986; 146; 1011-1015
  20. Mandelbrot BB. The fractal geometry of the nature, 3rd ed. New York: WH Freeman and Co 1983; 25-33
  21. Nyland TG, Mattoon JS, Herrgesell ER, Wisner ER. Spleen. In: Small animal diagnostic ultrasound, 2nd ed. Philadelphia: W.B. Saunders Co. 1995: 128-143
  22. Nyland TG, Mattoon JS, Herrgesell ER, Wisner ER. Urinary tract. In: Small animal diagnostic ultrasound, 2nd ed. Philadelphia: W.B. Saunders Co. 1995:158-172
  23. Parker KJ, Lerner RM, Waag RC. Attenuation of ultrasound : Magnitude and frequency dependency for tissue characterization. Radiology 1984; 153; 785-788 https://doi.org/10.1148/radiology.153.3.6387795
  24. Pornprasertsuk S, Ludlow JB, Webber RL, Tyndall DA, Yamauchi M. Analysis of fractal dimensions of rat bones from film and digital images. Dentomaxillofac Radiol 2001; 30; 179-183 https://doi.org/10.1038/sj.dmfr.4600597
  25. Smith JG Jr, Marks WB, Lange GD, Sheriff WH Jr, Neale EA. A fractal analysis of cell images. J Neurosci Methods 1989; 27; 173-180 https://doi.org/10.1016/0165-0270(89)90100-3
  26. Sommer FG. Joynt LF, Carroll BA, Albert M. Ultrasonic characterization of abdominal tissues via digital analysis of backscattered waveforms. Radiology 1981; 141; 811-817 https://doi.org/10.1148/radiology.141.3.7302239
  27. Taylor KJ, Riely CA, Lynwood H, Stephen F, Gregory W, Guadalupe GT, Conn HO, Roman K, Barwic KW. Quantitiative US attenuation in normal liver and in patients with diffuse liver disease : Importance of fat. Radiology 1986; 160; 65-71 https://doi.org/10.1148/radiology.160.1.3520657
  28. Thieme GA. Clinical relevance of scattering : in ultrasonic scattering in biological tissues, ed by shung KK and Thieme GA. CRC Press Inc. 1993; 20-48
  29. Tsukiyama K, Acorda JA, Yamada H. Evaluation of superficial digital flexor tendinitis in racing horses through gray scale histogram analysis of tendon ultrasonograms. Vet Radiol 1996; 37(4); 46-50 https://doi.org/10.1111/j.1740-8261.1996.tb00811.x
  30. West BJ, Goldberger AL. Physiology in fractal dimensions. Am Scientist 1987; 75; 354-365
  31. Zvi V, Mohr GA, Benico B, Gessler CJ, Wickline SA, Wear KA, Shoup TA, Weiss AN, Sobel BE, Miller JG, Perez JE. Ultrasound integrated backscatter tissue characterization of remote myocardial infarction in human subjects. J Am Coll Cardiol 1989; 13; 84-91 https://doi.org/10.1016/0735-1097(89)90553-6