A companion to the Insight Toolkit An introduction to the theory of modern medical image processing, including the analysis of data from - X-ray computer tomography, - magnetic resonance imaging, - nuclear medicine, - and ultrasound. Using an algorithmic approach, and providing the mathematical, statistical, or signal processing as needed for background, the authors describe the principles of all methods implemented in the Insight Toolkit (ITK), a freely available, open- source, object-oriented library. The emphasis is on providing intuitive descriptions of the principles and illustrative examples of results from the leading filtering, segmentation, and registration methods. This book covers the mathematical foundations of important techniques such as: - Statistical pattern recognition, - PDE-based nonlinear image filtering, - Markov random fields, - Level set methods, - Deformable models, - Mutual information, image-based registration - Non-rigid image data fusion With contributions from: Elsa Angelini, Brian Avants, Stephen Aylward, Ting Chen, Jeffrey Duda, Jim Gee, Luis Ibanez, Celina Imielinska, Yinpeng Jin, Jisung Kim, Bill Lorensen, Dimitris Metaxas, Lydia Ng, Punam Saha, George Stetten, Tessa Sundaram, Jay Udupa, Ross Whitaker, Terry Yoo, and Ying Zhuge. The Insight Toolkit is part of the Visible Human Project from the National Library of Medicine, with support from NIDCR, NINDS, NIMH, NEI, NSF, TATRC, NCI, and NIDCD.
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0 of 4 people found the following review helpful:
5.0 out of 5 stars
Very good book!,
By CSD (Rochester,MN.) - See all my reviews
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This review is from: Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis (Hardcover)
I am very pleased with the book. It is well written, provides enough information and I can use it as a textbook not only for graduate but also undergraduate courses in imaging.
3 of 12 people found the following review helpful:
5.0 out of 5 stars
a good book for image processing,
By Mark Twain "Sam" (Florida, MO USA) - See all my reviews
This review is from: Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis (Hardcover)
if you want to learn the theory background of ITK, this is the right book
2 of 29 people found the following review helpful:
5.0 out of 5 stars
Greatest Graphics Book of all Time.,
By Brandtroo (Boulder, CO) - See all my reviews
This review is from: Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis (Hardcover)
Yoo should win a Pulitzer Prize. Or the Turing Award. If Yoo can, so can you.
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This book is an introduction to the theory of modern medical image processing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
relative fuzzy connectedness, hard connectedness, seed spels, fuzzy digital space, segmentation engine, fuzzy connected objects, hybrid segmentation methods, binary scene, implicit deformable models, fuzzy affinity, true delineation, pyramid filter, demons algorithm, labeling accuracy, gaussian mixture modeling, scaling transform, medical image registration, rigid transform, strongest path, comb function, computational anatomy, digital topology, greyscale values, atlas image, geodesic active contours Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Visible Human Project, San Diego, Academic Press, Biomedical Computing, Image Understanding, Visible Human Male, Cambridge University Press, Computer Society Press, Kluwer Academic Publishers, Los Alamitos, Chapel Hill, Englewood Cliffs, Haar Romeny, Prentice Hall, Proceedings of Information Processing, The Netherlands, Auxiliary Data Structures, Fifth International Conference, Geometry-Driven Diffusion, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Brain Warping, Michael Fitzpatrick New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This book is an introduction to the theory of modern medical image processing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
relative fuzzy connectedness, hard connectedness, seed spels, fuzzy digital space, segmentation engine, fuzzy connected objects, hybrid segmentation methods, binary scene, implicit deformable models, fuzzy affinity, true delineation, pyramid filter, demons algorithm, labeling accuracy, gaussian mixture modeling, scaling transform, medical image registration, rigid transform, strongest path, comb function, computational anatomy, digital topology, greyscale values, atlas image, geodesic active contours Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Visible Human Project, San Diego, Academic Press, Biomedical Computing, Image Understanding, Visible Human Male, Cambridge University Press, Computer Society Press, Kluwer Academic Publishers, Los Alamitos, Chapel Hill, Englewood Cliffs, Haar Romeny, Prentice Hall, Proceedings of Information Processing, The Netherlands, Auxiliary Data Structures, Fifth International Conference, Geometry-Driven Diffusion, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Brain Warping, Michael Fitzpatrick New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 55
books:
See all 55 books this book cites
2
books
cite this book:
- Computer Graphics by Acm Press on 5 pages
- Computer Vision by Linda G. Shapiro on 4 pages
- Geometry-Driven Diffusion in Computer Vision (Computational Imaging and Vision) by Bart M. Haar Romeny on 4 pages
- Image Processing (Medical Imaging 1998) by Kenneth M. Hanson on page 313, page 355, and Back Matter
- Pattern Classification (2nd Edition) by Richard O. Duda on page 98, and Back Matter
See all 55 books this book cites
- Medical Image Analysis Methods (Electrical Engineering & Applied Signal Processing Series) by Lena Costaridou on page 468
- Visualization and Processing of Tensor Fields (Mathematics and Visualization) by Joachim Weickert on page 357
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