Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects

Item request has been placed! ×
Item request cannot be made. ×
  Processing Request
  • Additional Information
    • Publication Information:
      Birjand University of Medical Sciences and Health Services, 2019.
    • Publication Date:
      2019
    • Collection:
      LCC:Medicine
      LCC:Medicine (General)
    • Abstract:
      Background and Aim: Intra-bone lesions are common in lesions, among them periapical lesions have a higher incidence. Todays, all direct digital imaging systems provide various types of image processing techniques. The purpose of this study is to investigate the effects of different digital image processing techniques on the diagnosis of bony defects. Materials and Methods: In this experimental study, 50 sheep inferior half-jawbones were used. Lesions were created by round bars with numbers 1/4, 1/2, 1, 2 and 4. Digital images were obtained by edge enhance, sharpening, invert gray scale processing method and unprocessed investigated by two radiologists and in case of disagreement them observers by third observer. The method of recording the results was definitive diagnosis of lesion number 1, misdiagnosis number 2 and possible diagnosis number 3 .The results were analyzed by chi-square and Fisher's exact tests. Results: Percent of diagnostic sensitivity in unprocessed Images (71.8%) and images processed with Sharpen filter (71.4%) were significantly higher than images processed with invert grayscale (68.5%) and edge Enhancer (53%).(p
    • File Description:
      electronic resource
    • ISSN:
      1607-2197
      2423-6152
    • Relation:
      http://journal.bums.ac.ir/browse.php?a_code=A-10-2453-1&slc_lang=en&sid=1; https://doaj.org/toc/1607-2197; https://doaj.org/toc/2423-6152
    • Rights:
      Journal Licence: CC BY-NC
    • Accession Number:
      edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c
  • Citations
    • ABNT:
      FARZANEH MIRHOSEINI et al. Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects. Journal of Birjand University of Medical Sciences, [s. l.], n. 1, p. 54, 2019. Disponível em: . Acesso em: 18 set. 2019.
    • AMA:
      Farzaneh Mirhoseini, Mahdi Tabrizizadeh, Azadeh Falah-yakhdani, Amin Ansarinia, Monireh Sadoughi. Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects. Journal of Birjand University of Medical Sciences. 2019;(1):54. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428. Accessed September 18, 2019.
    • APA:
      Farzaneh Mirhoseini, Mahdi Tabrizizadeh, Azadeh Falah-yakhdani, Amin Ansarinia, & Monireh Sadoughi. (2019). Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects. Journal of Birjand University of Medical Sciences, (1), 54. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428
    • Chicago/Turabian: Author-Date:
      Farzaneh Mirhoseini, Mahdi Tabrizizadeh, Azadeh Falah-yakhdani, Amin Ansarinia, and Monireh Sadoughi. 2019. “Comparison of the Diagnostic Accuracy of Different Image Processing Algorithms in the Diagnosis of Jawbone Defects.” Journal of Birjand University of Medical Sciences, no. 1: 54. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428.
    • Harvard:
      Farzaneh Mirhoseini et al. (2019) ‘Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects’, Journal of Birjand University of Medical Sciences, (1), p. 54. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428 (Accessed: 18 September 2019).
    • Harvard: Australian:
      Farzaneh Mirhoseini, Mahdi Tabrizizadeh, Azadeh Falah-yakhdani, Amin Ansarinia & Monireh Sadoughi 2019, ‘Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects’, Journal of Birjand University of Medical Sciences, no. 1, p. 54, viewed 18 September 2019, .
    • MLA:
      Farzaneh Mirhoseini, et al. “Comparison of the Diagnostic Accuracy of Different Image Processing Algorithms in the Diagnosis of Jawbone Defects.” Journal of Birjand University of Medical Sciences, no. 1, 2019, p. 54. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428.
    • Chicago/Turabian: Humanities:
      Farzaneh Mirhoseini, Mahdi Tabrizizadeh, Azadeh Falah-yakhdani, Amin Ansarinia, and Monireh Sadoughi. “Comparison of the Diagnostic Accuracy of Different Image Processing Algorithms in the Diagnosis of Jawbone Defects.” Journal of Birjand University of Medical Sciences, no. 1 (2019): 54. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428.
    • Vancouver/ICMJE:
      Farzaneh Mirhoseini, Mahdi Tabrizizadeh, Azadeh Falah-yakhdani, Amin Ansarinia, Monireh Sadoughi. Comparison of the diagnostic accuracy of different image processing algorithms in the diagnosis of jawbone defects. Journal of Birjand University of Medical Sciences [Internet]. 2019 [cited 2019 Sep 18];(1):54. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.7649b3ff4eec4128bc4c4e9b07ab259c&custid=s8280428