Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1
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English
With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.
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Product Details
Dimensions: 155 x 235mm
Publication Date: 19 May 2011
Publisher: Springer-Verlag New York Inc.
Publication City/Country: United States
Language: English
ISBN13: 9781441981943
About
Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL). Dr. El-Baz is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. Dr. El-Baz has extensive experience in automated detection segmentation and diagnosis of lung nodules in LDCT images. Dr. El-Baz received his Doctorate from University of Kentucky Louisville KY. Rajendra Acharya U PhD DEng is leader in the field of data mining and medical devices. He received two doctorates: one from National Institute of Technology Karnataka Surathkal India and second from Chiba University Japan. He is a Senior IEEE member and on the editorial board of several journals. His major interests are in Signal and Image Processing Visualization and Biophysics for better healthcare design delivery and therapy. Currently he is visiting faculty at Ngee Ann Polytechnic Singapore. Majid Mirmehdi is a Professor of Computer Vision in the Computer Science Department at the University of Bristol. Prof. Mirmehdi has been involved in computer vision research for 22 years particularly in the areas of medical imaging quality inspection and scene understanding. He has served as Chairman of the British Machine Vision Association is a Senior Member of the IEEE and was elected a Fellow of the International Association for Pattern Recognition in 2010. Dr. Jasjit S. Suri is an innovator scientist a visionary an industrialist and an internationally known world leader in Biomedical Engineering. Dr. Suri has spent over 20 years in the field of biomedical engineering/devices and its management. He received his Doctrate from University of Washington Seattle and Business Management Sciences from Weatherhead Case Western Reserve University Cleveland Ohio. Dr. Suri was crowned with Presidents Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering for his outstandingcontributions.