Advanced Methods for Detecting Pelviureteric Junction Dilatation by Two Dimensional Ultrasound

  • Heamn Noori Abduljabbar Department of Physics, College of Education, Shaqlawa Slahaddin University, Erbil, Iraq
  • Sardar Yaba Perxdr Department of Physics, College of Education, Shaqlawa Slahaddin University, Erbil, Iraq


Pelviureteric junction (PUJ) obstruction is a condition frequently encountered in both adult and pediatric patients. Congenital abnormalities and crossing lower-pole renal vessels are the most common underlying pathologies in both men and women. There are different methods for detecting it the most usual, safe, and easy one is by ultrasound scanning. The aim of this study is how to improve the image quality of two dimensional (2D) ultrasound screening of detecting PUJ dilatation using image processing software, image enhancement, and different types of filters, then making comparison which filter is the best to improve the image quality, that helps the medical doctors, and sonographers to make the correct decision and diagnosis. 1357 patients scanned by ultrasound in Harer general hospital for general abdominal scanning, 987 cases among them have detected as urinary tract infection cases among this 987 case there were 73 case of them with PUJ dilatation. The 2D ultrasound images saved, after making image enhancement and using different types of filters (HE, ADH, CLAHE, and Wiener) to enhance four 2D ultrasound images of abnormal kidneys, the result was in each type of filters there were some advantages and disadvantages, so that the best type of filters are (HE and ADH) because the PUJ and pelvis is much more clear and easy to define after using these kinds of filters.

Index Terms: ADH, CLAHE, HE, Image Enhancement, Image Processing, Pelviureteric Junction, Wiener


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How to Cite
ABDULJABBAR, Heamn Noori; PERXDR, Sardar Yaba. Advanced Methods for Detecting Pelviureteric Junction Dilatation by Two Dimensional Ultrasound. UHD Journal of Science and Technology, [S.l.], v. 1, n. 1, p. 33-37, apr. 2017. ISSN 2521-4217. Available at: <>. Date accessed: 16 june 2021. doi: