Research Article | OPEN ACCESS
Region Descriptors to Extricate Renal Calculi by Discerning Artifacts from Ultra Sound Images
1M. Ranjitha and 2G.M. Nasira
1Department of Information Technology, CMR Institute of Management Studies (Autonomous), Bangalore University, Bangalore
2Department of Computer Science, Chikkana Government Arts College, Bharathiar University, Tirupur, India
Research Journal of Applied Sciences, Engineering and Technology 2015 5:374-379
Received: September 18, 2014 | Accepted: October 17, 2014 | Published: February 15, 2015
Abstract
The study presents a new technique to identify kidney stones and differentiate it from artifacts from an ultra sound scanned image. Image analysis plays vital role in medical diagnosis. Analysing texture is a major source of discrimination in image analysis. There are situations when artifacts are mistaken for kidney stones in Medical scan using Ultra sound technique. We are proposing a new approach wherein the kidney stones are differentiated from artifacts using various shape descriptive parameters. Various descriptors like Compactness, Dispersion, Smoothness and third moment are used in our method to differentiate artifacts and stones from ultrasound images. Basic regional descriptor characterizes the geometric properties of ROI (Region of Interest) whereas Invariant moment concentrates on the density of ROI. Initially the US image is polished using a Combinational approach of noise removal and this image is taken as input for our further analysis. Pre-processing is done to minimize the occurrence of artifacts. The potential calculi are extracted and the validity is tested using the above specified parameters. Test results show convincing difference in values between Calculi and Artifact. The suggested method efficiently helped in identifying Renal Calculi from Ultra sound Images.
Keywords:
Artifacts , compactness , density , dispersion, noise removal , renal calculi , smoothness , ultrasound,
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Competing interests
The authors have no competing interests.
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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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