Utilizing image processing in prediction of kidney function. | ||||
| Advances in Basic and Applied Sciences | ||||
| Article 2, Volume 1, Issue 1, June 2023, Page 8-12 PDF (611.19 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/abas.2023.195716.1012 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed El-Sayed El-Nagdy  1; safaa labib2
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| 1Physics Department, Faculty of Science, Helwan University, Helwan Cairo, Egypt | ||||
| 2Physics department, Faculty of Science, Helwan university | ||||
| Abstract | ||||
| Renal scintigraphy has been used widely to measure the individual kidney glomerular filtration rate (IKGFR). Glomerular filtration rate (GFR) is a key parameter in evaluating kidney function. After a bolus injection of an exogenous GFR marker in plasma an accurate determination of GFR can be made by measuring the marker concentration in plasma during the excretion. In this research a new algorithm is developed and tested two new parameters to diagnose the status of human kidneys function. The two parameters give good prediction to the kidney status that complies with the GFR. The two parameters are better, where they diagnose the kidney in the real time at very low cost. he two parameters give good prediction to the kidney status that complies with the GFR. The two parameters are better, where they diagnose the kidney in the real time at very low cost. The two parameters are better, where they diagnose the kidney in the real time at very low cost. | ||||
| Keywords | ||||
| Renal scintigraphy; Glomerular filtration rate; kidney function | ||||
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