Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings

This thesis describes a method of using wavelets in the detection comparison of breast cancer among the three main races in Malaysia: Chinese, Malays, and Indians followed by a system that records and evaluates the radiologist's findings over a period of time to gauge the radiologist's...

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Main Author:	Hasan Al-Qdah, Majdi Taysir
Format:	Thesis
Language:	English English
Published:	2006
Subjects:	Breast - Radigraphy - Malaysia - Case studies
Online Access:	http://psasir.upm.edu.my/id/eprint/6113/1/FK_2006_22.pdf
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id	my-upm-ir.6113
record_format	uketd_dc
spelling	my-upm-ir.61132023-10-09T04:50:53Z Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings 2006-01 Hasan Al-Qdah, Majdi Taysir This thesis describes a method of using wavelets in the detection comparison of breast cancer among the three main races in Malaysia: Chinese, Malays, and Indians followed by a system that records and evaluates the radiologist's findings over a period of time to gauge the radiologist's findings in confirming breast cancer cases. A comparison was carried out among few different wavelets to find out the best filter for detection for all three Malaysian races' mammograms. The detection of three filters was presented to three expert radiologists to confirm the best filter detector. As a result, the db4 wavelet was utilized to detect microcalcifications in mammogram digital images obtained from a Malaysian women sample. The wavelet filter's detection evaluation was done by visual inspection to confirm the detection results of those pixels that corresponded to microcaIcifications. Detection was counted if the wavelet detected pixels corresponded to the radiologically identified microcalcification pixels. The findings suggest that no one race mammograms are easier for wavelets' detections of microcalcifications and for the radiologist confirmation. After the radiologist's detection confirmation a new client-sewer radiologist recording and evaluation system is designed to evaluate the findings of the radiologist over some period of cancer detection working time. It is a system that records the findings of the Malaysian radiologist for the presence of breast cancer in Malaysian patients and provides a way of registering the progress of detecting breast cancer of the radiologist by tracking certain metric values such as the sensitivity, specificity, and Receiver Operator Curve (ROC) Breast - Radigraphy - Malaysia - Case studies 2006-01 Thesis http://psasir.upm.edu.my/id/eprint/6113/ http://psasir.upm.edu.my/id/eprint/6113/1/FK_2006_22.pdf text en public doctoral Universiti Putra Malaysia Breast - Radigraphy - Malaysia - Case studies Engineering Ramli, Abd Rahman English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
advisor	Ramli, Abd Rahman
topic	Breast - Radigraphy - Malaysia - Case studies
spellingShingle	Breast - Radigraphy - Malaysia - Case studies Hasan Al-Qdah, Majdi Taysir Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
description	This thesis describes a method of using wavelets in the detection comparison of breast cancer among the three main races in Malaysia: Chinese, Malays, and Indians followed by a system that records and evaluates the radiologist's findings over a period of time to gauge the radiologist's findings in confirming breast cancer cases. A comparison was carried out among few different wavelets to find out the best filter for detection for all three Malaysian races' mammograms. The detection of three filters was presented to three expert radiologists to confirm the best filter detector. As a result, the db4 wavelet was utilized to detect microcalcifications in mammogram digital images obtained from a Malaysian women sample. The wavelet filter's detection evaluation was done by visual inspection to confirm the detection results of those pixels that corresponded to microcaIcifications. Detection was counted if the wavelet detected pixels corresponded to the radiologically identified microcalcification pixels. The findings suggest that no one race mammograms are easier for wavelets' detections of microcalcifications and for the radiologist confirmation. After the radiologist's detection confirmation a new client-sewer radiologist recording and evaluation system is designed to evaluate the findings of the radiologist over some period of cancer detection working time. It is a system that records the findings of the Malaysian radiologist for the presence of breast cancer in Malaysian patients and provides a way of registering the progress of detecting breast cancer of the radiologist by tracking certain metric values such as the sensitivity, specificity, and Receiver Operator Curve (ROC)
format	Thesis
qualification_level	Doctorate
author	Hasan Al-Qdah, Majdi Taysir
author_facet	Hasan Al-Qdah, Majdi Taysir
author_sort	Hasan Al-Qdah, Majdi Taysir
title	Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
title_short	Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
title_full	Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
title_fullStr	Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
title_full_unstemmed	Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
title_sort	detection of microcalcifications using wavelet techniques in mammogram digital images and development of a software for evaluation of radiologist findings
granting_institution	Universiti Putra Malaysia
granting_department	Engineering
publishDate	2006
url	http://psasir.upm.edu.my/id/eprint/6113/1/FK_2006_22.pdf
_version_	1783725682904268800

Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings

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