Image Quality Improvement in Kidney Stone Detection on Computed Tomography Images

Authors(3) :-A. Karthikeyan, P.Kala, A.Ramachandran

Kidney-Urine-Belly computed tomography (KUB CT) analysis is an imaging modality that has the potential to enhance kidney stone screening and diagnosis. This study explored the development of a semi-automated program that used image processing techniques and geometry principles to define the boundary, and segmentation of the kidney area, and to enhance kidney stone detection. It marked detected kidney stones and provided an output that identifies the size and location of the kidney based on pixel count. The program was tested on standard KUB CT can slides from 39 patients at Imam Reza Hospital in Iran who were divided into two groups based on the presence and absence of kidney stones in their hospital records. Of these, the program generated six inconsistent results which were attributed to the poor quality of the original CT scans. Results showed that the program has 84.61 per cent accuracy, which suggests the programís potential in diagnostic efficiency for kidney stone detection.

Authors and Affiliations

A. Karthikeyan
P.G Scholar, Department of Electronics and Communication Engineering, Medical Electronics, P.T.R College of Engineering and Technology, Madurai, Tamilnadu, India
P.Kala
Assistant Professor, Department of Electronics and Communication Engineering, Medical Electronics, P.T.R College of Engineering and Technology, Madurai, Tamilnadu, India
A.Ramachandran
Assistant Professor, Department of Electronics and Communication Engineering, Medical Electronics, P.T.R College of Engineering and Technology, Madurai, Tamilnadu, India

KUB CT, CKD, CRF, PACS, CLEAN

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Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 484-488
Manuscript Number : IJSRSET1733125
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

A. Karthikeyan, P.Kala, A.Ramachandran, " Image Quality Improvement in Kidney Stone Detection on Computed Tomography Images, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.484-488, May-June-2017.
Journal URL : http://ijsrset.com/IJSRSET1733125

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