Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses

Ultrasound imaging or echography is a very important and competitive medical diagnostic tool, due to its low cost, short acquisition time, and non-invasive nature. However, ultrasound images are inherently difficult to analyze due to their echo texture, speckle noise, low contrast and weak edges. M...

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Main Author:	Kaid, Rakeeb Saeed
Format:	Thesis
Language:	English English
Published:	2007
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Online Access:	http://psasir.upm.edu.my/id/eprint/5333/1/FK_2007_90.pdf
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spelling	my-upm-ir.53332013-05-27T07:22:04Z Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses 2007 Kaid, Rakeeb Saeed Ultrasound imaging or echography is a very important and competitive medical diagnostic tool, due to its low cost, short acquisition time, and non-invasive nature. However, ultrasound images are inherently difficult to analyze due to their echo texture, speckle noise, low contrast and weak edges. Measurement of the fetal head biparietal diameter (BPD) and head circumference (HC) is crucial for estimation of fetal age. Due to the noisy nature of ultrasound images and variation in image acquisition and measurement techniques, manual measurements of these parameters are subject to inter and intra-observer variability. The aim of this work is to develop a fully automated technique for efficient and accurate detection and estimation of the gestational age of a fetus by measuring the biparietal diameter of the head. The head was assumed to have an elliptical shape. No user input or size range of the head was required. The proposed technique based on a method called direct least squares fitting of an ellipse. This method combines several advantages: It is ellipse-specific so that even bad data will always return an ellipse, it can be solved naturally by a generalized eigensystem, and it is extremely robust, efficient and easy to implement. The process goes through three steps: image preprocessing (contrast enhancement, smoothing, and intensity enhancement), object extraction (sharpening, morphological reconstruction and skeletoning) and fitting an ellipse to the resultant shape and measuring its parameters. The proposed fully automatic technique was tested and evaluated on about 20 images of fetal heads. The images had a combination of noise and low contrast. Excellent linear correlation r = 0.997 between manual and automatic measurement was obtained, which verifies the reliability of the proposed automatic approach. 2007 Thesis http://psasir.upm.edu.my/id/eprint/5333/ http://psasir.upm.edu.my/id/eprint/5333/1/FK_2007_90.pdf application/pdf en public masters Universiti Putra Malaysia Faculty of Engineering English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic
spellingShingle	Kaid, Rakeeb Saeed Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses
description	Ultrasound imaging or echography is a very important and competitive medical diagnostic tool, due to its low cost, short acquisition time, and non-invasive nature. However, ultrasound images are inherently difficult to analyze due to their echo texture, speckle noise, low contrast and weak edges. Measurement of the fetal head biparietal diameter (BPD) and head circumference (HC) is crucial for estimation of fetal age. Due to the noisy nature of ultrasound images and variation in image acquisition and measurement techniques, manual measurements of these parameters are subject to inter and intra-observer variability. The aim of this work is to develop a fully automated technique for efficient and accurate detection and estimation of the gestational age of a fetus by measuring the biparietal diameter of the head. The head was assumed to have an elliptical shape. No user input or size range of the head was required. The proposed technique based on a method called direct least squares fitting of an ellipse. This method combines several advantages: It is ellipse-specific so that even bad data will always return an ellipse, it can be solved naturally by a generalized eigensystem, and it is extremely robust, efficient and easy to implement. The process goes through three steps: image preprocessing (contrast enhancement, smoothing, and intensity enhancement), object extraction (sharpening, morphological reconstruction and skeletoning) and fitting an ellipse to the resultant shape and measuring its parameters. The proposed fully automatic technique was tested and evaluated on about 20 images of fetal heads. The images had a combination of noise and low contrast. Excellent linear correlation r = 0.997 between manual and automatic measurement was obtained, which verifies the reliability of the proposed automatic approach.
format	Thesis
qualification_level	Master's degree
author	Kaid, Rakeeb Saeed
author_facet	Kaid, Rakeeb Saeed
author_sort	Kaid, Rakeeb Saeed
title	Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses
title_short	Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses
title_full	Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses
title_fullStr	Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses
title_full_unstemmed	Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses
title_sort	estimation of gestational age from ultrasound images using direct least squares fitting of ellipses
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2007
url	http://psasir.upm.edu.my/id/eprint/5333/1/FK_2007_90.pdf
_version_	1747810401748254720

Estimation Of Gestational Age From Ultrasound Images Using Direct Least Squares Fitting Of Ellipses

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