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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Volume II

Editors: El-Baz, A.S., Acharya U, R., Laine, A.F., Suri, J. (Eds.)

  • Combines registration and segmentation techniques
  • Covers segmentation application to prosthesis design and the brain
  • Discusses the role of segmentation in autistic and normal brains
  • Covers ocular thermo graphic sequence analysis and 3D ultrasound image segmentation
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eBook $229.00
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  • ISBN 978-1-4419-8204-9
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  • Immediate eBook download after purchase
Hardcover $289.00
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  • ISBN 978-1-4419-8203-2
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  • Online orders shipping within 2-3 days.
About this book

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.

Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL).  He is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. 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. Currently, he is visiting faculty at Ngee Ann Polytechnic, Singapore.

Andrew Laine is a Director of the Heffner Biomedical Imaging Laboratory in the Department of Biomedical Engineering at Columbia University in New York City and is Professor of Biomedical Engineering and Radiology (Physics).   His research interests include quantitative image analysis; cardiac functional imaging: ultrasound and MRI, retinal imaging, intravascular imaging and biosignal processing. He is a Fellow of AIMBE and IEEE.

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 Doctorate from University of Washington, Seattle and Business Management Sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio.

About the authors

Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL).  He is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. 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. Currently, he is visiting faculty at Ngee Ann Polytechnic, Singapore.

 

Andrew Laine is a Director of the Heffner Biomedical Imaging Laboratory in the Department of Biomedical Engineering at Columbia University in New York City and is Professor of Biomedical Engineering and Radiology (Physics).   His research interests include quantitative image analysis; cardiac functional imaging: ultrasound and MRI, retinal imaging, intravascular imaging and biosignal processing. He is a Fellow of AIMBE and IEEE.

 

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 Doctorate from University of Washington, Seattle and Business Management Sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio.

Table of contents (13 chapters)

  • Medical Image Segmentation: A Brief Survey

    Elnakib, Ahmed (et al.)

    Pages 1-39

  • Cerebral White Matter Segmentation using Probabilistic Graph Cut Algorithm

    Sen, Mainak (et al.)

    Pages 41-67

  • A New Image-Based Framework for Analyzing Cine Images

    Khalifa, Fahmi (et al.)

    Pages 69-98

  • Medical Images Segmentation Using Learned Priors

    El-Baz, Ayman (et al.)

    Pages 99-117

  • Classification of Breast Mass in Mammography with an Improved Level Set Segmentation by Combining Morphological Features and Texture Features

    Tang, Jinshan (et al.)

    Pages 119-135

Buy this book

eBook $229.00
price for USA (gross)
  • ISBN 978-1-4419-8204-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $289.00
price for USA
  • ISBN 978-1-4419-8203-2
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
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Bibliographic Information

Bibliographic Information
Book Title
Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
Book Subtitle
Volume II
Editors
  • Ayman S. El-Baz
  • Rajendra Acharya U
  • Andrew F. Laine
  • Jasjit Suri
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-8204-9
DOI
10.1007/978-1-4419-8204-9
Hardcover ISBN
978-1-4419-8203-2
Edition Number
1
Number of Pages
X, 368
Topics