Digital Image Processing Algorithm for Functional Analysis of Renal Perfusion.

Authors

Ali Ibrahim, Professor of Computers & Control Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
M. Ghoneim, Professor of Urology & Mephrology Center., Faculty of Medicine., El-Mansoura University., El-Mansoura., Egypt.
Mofreh Mohamed, Associate Professor., Computers and control Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.Follow
M. Shawkiy, Urology & Mephrology Center., Faculty of Medicine., El-Mansoura University., Mansoura., Egypt.

Corresponding Author

Ibrahim, Ali

Subject Area

Computer and Control Systems Engineering

Article Type

Original Study

Abstract

A timed series of video images (dynamic study) may be taken for a human organ under examination, after f.v. injection of contrast material. The images are digitized and stored as matrices of 512 x 512 pixels, Numerical data for each pixel within the sequence reflects then the temporal changes of the dye concentration in the tissue represented by that pixel according to a well-known X-ray attenuation logarithmic relation. A structured algorithm is developed to perform mathematical analysis and manipulation for those "functional images" on a pixel-by-pixel basis with the aim of deriving out some useful time-density variables and curves. The algorithm is app lied to 38 nor mal individuals to study their renal function and the results proved to be of a remarkable diagnostic value.

Recommended Citation

Ibrahim, Ali; Ghoneim, M.; Mohamed, Mofreh; and Shawkiy, M. (2021) "Digital Image Processing Algorithm for Functional Analysis of Renal Perfusion.," Mansoura Engineering Journal: Vol. 17 : Iss. 1 , Article 5.
Available at: https://doi.org/10.21608/bfemu.2021.167035