Universiti Teknologi Malaysia Institutional Repository

Automatic ultrasound kidney's centroid detection system

Supriyanto, Eko and Tahir, Nurul Afiqah and Syed Omar, Syed Mohd. Nooh (2011) Automatic ultrasound kidney's centroid detection system. In: 15th WSEAS International Conference on Computers, 15-17 July 2011, Corfu Island, Greece.

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Abstract

Currently, kidney stone and tumor removal can be done without surgery. For this purpose, it is required imaging modalities that able to visualize kidney accurately. In order to improve the accuracy of kidney visualization in a short time, an automatic kidney centroid detection is required. This project developed a software to automatically detect the centroid of human kidney. The software was developed using MATLAB with smoothing filter, texture filter and morphological operators. They were used for image segmentation in order to extract important features. Test result shows the software achieve until 96.43% of accuracy in detecting the centroid. The detected centroid can be used as initial point to create ellipse model, which can be used to detect kidney's contour in further research. This software can be implemented in the most US machine that will be used as segmentation tool to reduce human errors and time.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Kidney Ultrasound, Ultrasound Image Segmentation, Texture filter, Morphological Operators, Centroid
Subjects:Q Science > Q Science (General)
R Medicine > R Medicine (General)
Divisions:Biosciences and Medical Engineering
ID Code:45622
Deposited By: Haliza Zainal
Deposited On:10 Jun 2015 11:00
Last Modified:07 Sep 2017 12:56

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