Programming Books C Java PHP Python Learn more Browse Programming Books
Qty:1
  • List Price: $82.50
  • Save: $4.12 (5%)
Usually ships within 2 to 4 weeks.
Ships from and sold by Amazon.com.
Gift-wrap available.
Condition: Used: Good
Comment: The item shows wear from consistent use, but it remains in good condition and works perfectly. It may be marked, have identifying markings on it, or show other signs of previous use.
Access codes and supplements are not guaranteed with used items.
Sell yours for a Gift Card
We'll buy it for $2.00
Learn More
Trade in now
Have one to sell? Sell on Amazon
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See this image

Principles of Computerized Tomographic Imaging (Classics in Applied Mathematics) Paperback – July 1, 2001

ISBN-13: 978-0898714944 ISBN-10: 089871494X

Buy New
Price: $78.38
15 New from $74.38 15 Used from $46.00
Amazon Price New from Used from
Paperback
"Please retry"
$78.38
$74.38 $46.00
Unknown Binding
"Please retry"
Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student


Frequently Bought Together

Principles of Computerized Tomographic Imaging (Classics in Applied Mathematics) + The Radon Transform and Some of Its Applications (Dover Books on Mathematics)
Price for both: $91.16

One of these items ships sooner than the other.

Buy the selected items together
NO_CONTENT_IN_FEATURE

Holiday Deals in Books
Holiday Deals in Books
Find deals for every reader in the Holiday Deals in Books store, featuring savings of up to 50% on cookbooks, children's books, literature & fiction, and more.

Product Details

  • Series: Classics in Applied Mathematics (Book 33)
  • Paperback: 327 pages
  • Publisher: Society for Industrial and Applied Mathematics (July 1, 2001)
  • Language: English
  • ISBN-10: 089871494X
  • ISBN-13: 978-0898714944
  • Product Dimensions: 6 x 0.7 x 9 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,498,834 in Books (See Top 100 in Books)

Editorial Reviews

Book Description

A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.

About the Author

Avinash C. Kak is a Professor of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. His current research interests include computer vision, video and image processing, and object-oriented programming. He is the coauthor of Digital Picture Processing (1982). Malcolm Slaney is a Research Staff Member at the IBM Almaden Research Center, San Jose, California. His current research interests include audio and video signals manipulation, auditory perception, and machine learning.

More About the Authors

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

4.8 out of 5 stars
5 star
5
4 star
1
3 star
0
2 star
0
1 star
0
See all 6 customer reviews
Share your thoughts with other customers

Most Helpful Customer Reviews

5 of 5 people found the following review helpful By wiredweird HALL OF FAMETOP 500 REVIEWER on December 11, 2007
Format: Paperback Verified Purchase
For someone with a little background and a lot of determination, this book provides a good basic grounding in the issues of tomographic reconstruction and the basic mathematical tools involved. Discussion starts slowly, with a chapter that establishes the vocabulary and notation of the signal processing involved. The next three chapters discuss non-diffracting cases, where the radiation that senses the body structures is not appreciably deflected by them, as is the case for CAT, PET, and SPECT. This includes discussion of the sensors, illuminators, and their geometries, on up to helical scans and complex sensor geometries. It also includes confounding effects, like the wavelength dependent nonlinearities in absorption of X-rays and how they affect beam transmission and the final image produced.

This chapter includes only brief menton of MRI, because of the very different physics behind it, and of ultrasonography, because of the diffractive and refractive features of the radiator and tissues being examined. Likewise, little mention is made of the reasons for different modalities or techniques for merging their results.

The final chapters address the special problems of ultrasound, digging as far in as the wave equations and the common approximations that make the wave equations at least somewhat practical as tools for solution. These chapters also address more advanced and computationally exhorbitant algorithms, though not in nearly the detail that back-projection got in the earlier chapters.

This book first appeared in 1988, which seems like centuries ago in the time scale of tomography algorithm development. Even the 2001 update is aging, and it never really went into the Feldkamp algorithms now widely in use.
Read more ›
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
1 of 1 people found the following review helpful By Eric on September 16, 2010
Format: Paperback Verified Purchase
The book is great: it explains all the way from mathematical theory to implementation details, but this reprint quality is very bad.
The images look like they were scanned/printed in black and white instead of grey shades (which is very surprising, knowing that the pdf version available on the web looks perfectly fine).
I am not sure I would have bought this book knowing how bad the print quality was beforehand, though it is still more convenient than the pdf sometimes.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
Format: Paperback Verified Purchase
If your work or research at all involves CT, you probably already know about this book. If it does and you don't, buy it. If you are already facile with computer tomography, it is a succinct reference. If you are new to the topic, it nicely works from the basics of Fourier transforms through 1D, then 2D and even Cone Beam CT. The only weakness is that the chapters are more like papers than a textbook so, as is often the case, the mathematical jumps from one equation to the next can be bigger than one might like. Regardless, my copy is the most dog-eared and underlined book on my research shelf.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again