Digital Image Processing Algorithm for Functional Analysis of Renal Perfusion. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 5, Volume 17, Issue 1, March 1992, Page 71-91 PDF (712.04 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2021.167035 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ali Ibrahim El-Desoky Ibrahim* 1; M. A. Ghoneim2; Mofreh Mohamed Salem Mohamed3; M. S. Shawkiy4 | ||||
| 1Professor of Computers & Control Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
| 2Professor of Urology & Mephrology Center., Faculty of Medicine., El-Mansoura University., El-Mansoura., Egypt. | ||||
| 3Associate Professor., Computers and control Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
| 4Urology & Mephrology Center., Faculty of Medicine., El-Mansoura University., Mansoura., Egypt. | ||||
| 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. | ||||
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