Texture analysis of ultrasound images of chronic kidney disease

Fadil Iqbal, Aruna S. Pallewatte, Janaka P. Wansapura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Chronic Kidney Disease of unknown aetiology (CKDu) is a prevalent disease in the North Central Province of Sri Lanka. Towards the latter stages of the disease, kidney function fails by 80%. During the initial stages of CKDu, interstitial fibrosis is formed and grows as the disease progresses. The cause of the disease remains elusive and early detection is vital to arrest the progressive decline of kidney function. The objective of this study is to construct a computer program to perform texture analysis on ultrasound kidney images and extract various features that can be used to distinguish between normal and diseased kidney patients. The computer program was developed using MATLAB and a user interface was created to perform mathematical operations such as: Fourier analysis to extract Root Mean Square and First Moment values and Grey Level Co-occurrence Matrix (GLCM) to extract Homogeneity and Sum Average values. A sample of ultrasound images were taken from 32 patients. Region of interest (ROI) selection was performed on entire kidney, cortex region and white (renal medulla or renal sinus) region separately. Among these methods Root Mean Square values over the entire kidney (p=0.03) and cortex region (p=0.0049) gave significant results in distinguishing between normal and diseased kidneys.

Original languageEnglish (US)
Title of host publication17th International Conference on Advances in ICT for Emerging Regions, ICTer 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages299-303
Number of pages5
ISBN (Electronic)9781538624432
DOIs
StatePublished - Jan 12 2018
Externally publishedYes
Event17th International Conference on Advances in ICT for Emerging Regions, ICTer 2017 - Colombo, Sri Lanka
Duration: Sep 7 2017Sep 8 2017

Publication series

Name17th International Conference on Advances in ICT for Emerging Regions, ICTer 2017 - Proceedings
Volume2018-January

Conference

Conference17th International Conference on Advances in ICT for Emerging Regions, ICTer 2017
CountrySri Lanka
CityColombo
Period9/7/179/8/17

Keywords

  • Chronic kidney disease
  • Co-occurrence matrix
  • Fourier analysis
  • Texture analysis
  • Unknown aetiology

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems and Management
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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