Quantitative Measurement and Analysis of Renal Obstruction Using ROI Detection Techniques

Author: Gokhale P.N., Patil B.R. and Joshi Sameer

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Abstract

We sought to define quantitative measurements of renal radiotracer’s density inside the kidneys in terms of renal obstruction levels by applying image processing transforms FFT, Wavelet, and Harr Extraction and find correlation among density measured by transforms and radioactive counts by gamma machine. In this retrospective study, we considered 140 renal scintigraphy scans from which 110 were diagnosed with renal obstruction (hydronephrosis) ranging from moderate to severe and 30 cases were found to be normal functioning kidneys. From 110 cases 64 cases were diagnosed with left kidney hydronephrosis (LK-HL) with M/F ratio of 43/21 and 46 cases were diagnosed with right kidney hydronephrosis (RK-HR) with M/F ratio of 23/23. The mean age of the selected case is 25.65 ± 24.58 years. Three image enhanced transforms namely FFT, Wavelet and Harr Extraction are applied to renal scan to detect the density of darkness inside the kidney. Correlation among density-measured count and scintigraphy-measured radioactive count by Spearman’s correlation method. There was strongly positive correlation between FFT measured density inside the kidney and dynamic renal scintigraphy usin99mTc-DTPA measured radioactive counts in case of both left hydronephrosis kidney and right hydronephrosis kidneys (р=0.81 and р=0.80 respectively). Also found moderately positive correlation among Wavelet and Harr Transform’s measures and scintigraphy measures. In conclusion, this study showed that the FFT method can be used to count density in terms of obstruction counts and these quantitative measures of this density can be considered to define the obstruction/hydronephrosis counts instead of reporting moderate level to severe levels.

Keywords

Renal scintigraphy, obstruction, Feature Extraction, Density count, Correlation coefficient

Conclusion

Diagnosis and assessment of renal disorder is achieved by renal scintigraphy method by measuring radioactive counts of absorbed radiotracer. While reporting patient’s hydronephrosis level quantitatively medical experts finds limitations using renal scintigraphy procedure as the scintigraphy cannot provide renal obstruction count. In this study we processed renal obstruction (also referred as renal hydronephrosis) scans using image extraction and enhancement processing transforms namely FFT, Wavelet and Harr and measured darkness of radiotracer inside the kidney in terms of density. We found that, density counts measured by FFT are approximately closer to radiotracer radioactive counts measured by scintigraphy machine. Thus, FFT’s density count can be considered as a support for diagnosing level of hydronephrosis quantitatively instead of mentioning levels from moderate to severe as these FFT measured density counts found to be directly proportional to radiotracer’s counts. This study will support nephrologist and urologist to define stages of renal hydronephrosis i.e. renal obstruction in terms of count and it will be time saving and cost saving in terms of precise diagnosis, treatment and medication.

References

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How to cite this article

Gokhale P.N.., Patil B.R.., Joshi Sameer. (2023). Quantitative Measurement and Analysis of Renal Obstruction Using ROI Detection Techniques, Biological Forum – An International Journal, 15(6): 761-767.