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  • Book
  • © 2011

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

Volume II

  • Combining Registration and Segmentation Techniques
  • Segmentation Application to Prosthesis Design and Brain
  • Role of Segmentation in Autistic and Normal Brains
  • Ocular Thermo graphic Sequence Analysis
  • 3D Ultrasound Image Segmentation
  • Includes supplementary material: sn.pub/extras

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-x
  2. Medical Image Segmentation: A Brief Survey

    • Ahmed Elnakib, Georgy Gimel’farb, Jasjit S. Suri, Ayman El-Baz
    Pages 1-39
  3. Cerebral White Matter Segmentation using Probabilistic Graph Cut Algorithm

    • Mainak Sen, Ashish K. Rudra, Ananda S. Chowdhury, Ahmed Elnakib, Ayman El-Baz
    Pages 41-67
  4. A New Image-Based Framework for Analyzing Cine Images

    • Fahmi Khalifa, Garth M. Beache, Georgy Gimel’farb, Guruprasad A. Giridharan, Ayman El-Baz
    Pages 69-98
  5. Medical Images Segmentation Using Learned Priors

    • Ayman El-Baz, Georgy Gimel’farb
    Pages 99-117
  6. Segmentation and Skeletonization of 3D Contrast Enhanced Ultrasound Images for the Characterization of Single Thyroid Nodule

    • Filippo Molinari, Alice Mantovani, Maurilio Deandrea, Paolo Limone, Acharya U Rajendra, Roberto Garberoglio et al.
    Pages 137-159
  7. Shape-Based Detection of Cortex Variability for More Accurate Discrimination Between Autistic and Normal Brains

    • Matthew Nitzken, Manuel F. Casanova, Fahmi Khalifa, Guela Sokhadze, Ayman El-Baz
    Pages 161-185
  8. Surface Reconstruction and Geometric Modeling for Digital Prosthesis Design

    • Luiz C. M. de Aquino, Gilson A. Giraldi, Paulo S. S. Rodrigues, Antônio Lopes A. Junior, Jaime S. Cardoso, Jasjit S. Suri
    Pages 187-225
  9. Medical Image Registration

    • Usaf E. Aladl, Terry Peters
    Pages 227-245
  10. Robust Image Registration Based on Learning Prior Appearance Model

    • Ayman El-Baz, Georgy Gimel’farb
    Pages 247-262
  11. Image Registration in Medical Imaging: Applications, Methods, and Clinical Evaluation

    • Gerardo Hermosillo, Christophe Chefd’hotel, K.-H. Herrmann, Guillaume Bousquet, Luca Bogoni, Kallol Chaudhuri et al.
    Pages 263-313
  12. Back Matter

    Pages 355-368

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.

Editors and Affiliations

  • , Department of Bioengineering, University of Louisville, Louisville, USA

    Ayman S. El-Baz

  • School of Engineering, Ngee Ann Polytechnic, Singapore, Singapore

    Rajendra Acharya U

  • , Department of Biomedical Engineering, Columbia University, New York, USA

    Andrew F. Laine

  • Biomedical Technologies, Inc., Denver, USA

    Jasjit S. Suri

About the editors

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.

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 229.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access