Optical Imaging for Biomedical and Clinical Applications

by Ahmad Fadzil Mohamad Hani (Editor), Dileep Kumar (Editor)

Overview

Optical imaging is a rapidly emerging imaging technique that has been successfjully translated into biomedical applications ranging from clinical diagnosis to molecular biology. This book includes an introductory section to explore various optical imaging devices and their functionality and roles for biomedical applications such as dermatology and ophthalmology. Recent developments as exemplified with the authors research are explored in detail. In depth discussion of other disease conditions and their diagnosis with optical imaging techniques are also covered.

Product Details

ISBN-13:	9781315351384
Publisher:	CRC Press
Publication date:	10/30/2017
Sold by:	Barnes & Noble
Format:	eBook
Pages:	440
File size:	16 MB
Note:	This product may take a few minutes to download.

About the Author

Prof. Dr. Ahmad Fadzil M Hani is an expert in the area of image processing and computer vision. He is the Director of the Center for Intelligent Signal & Imaging Systems Research (a National Higher Instution of Center of Excellence under the Ministry of Education Malaysia.His research ranges from fundamental pattern recognition to developing signal and image processing solutions for vision and biomedical applciations. His current reserch focuses on the development of new analysis techniques for early osteoarthritis, neurotransmitters in drug additiona using MRI techniques and bio-optics for skin pigmentation analysis. He is a Fellow of the Institute of Engineers Malaysia, a Senior Member of IEEE, and a Fellow of the Academy of Sciences, Malaysia. He is also a Non-Executive Director fo ViTrox Corporation, a public-listed company that develops and manufacturers automated vision inspection systems. He has authored 2 books and published over 200 peer reviewed research articles in journals and conference proceedings. He holds a number of patens, and won several award for various work.

Table of Contents

1. Introduction to optical imaging 2. Skin image analysis granulation tissue for healing assessment of chronic ulcers 3. Skin image analysis for vitiligo assessment 4. Modelling and analysis of skin pigmentation 5. Retinal image enhancement and analysis for diabetic retinopathy assessment 6. Noise reduction of retinal image for diabetic retinopathy assessment 7. Hyperspectral image analysis for subcutaneous veins localization