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A novel approach using optical fringe analysis for breast carcinoma detection

Doctor of Philosophy in Microelectronic Engineering

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Bibliographic Details
Main Author: Rajendaran, Vairavan
Other Authors: Zaliman, Sauli, Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Cancer > Imaging
Microelectromechanical systems
Breast > Cancer
Three-dimensional imaging
Cancer
Breast carcinoma
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77164
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spelling my.unimap-771642022-11-24T06:29:57Z A novel approach using optical fringe analysis for breast carcinoma detection Rajendaran, Vairavan Zaliman, Sauli, Prof. Dr. Cancer -- Imaging Microelectromechanical systems Breast -- Cancer Three-dimensional imaging Cancer Breast carcinoma Doctor of Philosophy in Microelectronic Engineering Breast carcinoma is one of the primary cancers diagnosed among woman with 25.1 % accounted of all cancers in women. Recognized methods for breast carcinoma detection and diagnosis include breast self examination (BSE), physical examination, invasive methods such as fine needle aspiration (FNA) and biopsy and non-invasive breast imaging methods such as mammography, ultrasound and magnetic resonance imaging (MRI). However, BSE, CBE, mammography, ultrasound and MRI are not entirely noninvasive as the methods somehow requires physical touches to the breast. Based on the reported previous works, the feasibility of using an optical method is evident as a full non contact and non invasive method, and there is room for vast improvement in using optical methods for early breast carcinoma detection based on surface analysis. Fringe projection techniques are emerging as non-contact tool in optical metrology with applications ranging from 3D Micro-electromechanical systems (MEMS) component measurement, accurate flatness measurement, vibration analysis and biomedical applications for assessment of complex three-dimensional human form. Despite the vast applications in the biomedical field, application of fringe projection in breast carcinoma detection and assessment is notably minimal. Thus, in this work, the usage of a fringe projection rig based on phase shift technique for non-invasive surface metrology analysis of the breast as an adjunct tool for early breast carcinoma detection was done. The fringe projection rig was utilized to analyze the surface changes of the breast due to the presence of breast lump within the breast. 2017 2022-11-24T06:27:40Z 2022-11-24T06:27:40Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77164 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Microelectronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Cancer -- Imaging
Microelectromechanical systems
Breast -- Cancer
Three-dimensional imaging
Cancer
Breast carcinoma
spellingShingle Cancer -- Imaging
Microelectromechanical systems
Breast -- Cancer
Three-dimensional imaging
Cancer
Breast carcinoma
Rajendaran, Vairavan
A novel approach using optical fringe analysis for breast carcinoma detection
description Doctor of Philosophy in Microelectronic Engineering
author2 Zaliman, Sauli, Prof. Dr.
author_facet Zaliman, Sauli, Prof. Dr.
Rajendaran, Vairavan
format Thesis
author Rajendaran, Vairavan
author_sort Rajendaran, Vairavan
title A novel approach using optical fringe analysis for breast carcinoma detection
title_short A novel approach using optical fringe analysis for breast carcinoma detection
title_full A novel approach using optical fringe analysis for breast carcinoma detection
title_fullStr A novel approach using optical fringe analysis for breast carcinoma detection
title_full_unstemmed A novel approach using optical fringe analysis for breast carcinoma detection
title_sort novel approach using optical fringe analysis for breast carcinoma detection
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77164
_version_ 1753972981815574528
score 13.222552

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