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Applied Medical Image Processing, Ed. HAR/COM

A Basic Course

¥ 5,763 (tax included)

Description

Features
* Provides a self-contained, complete basic introduction to the field, emphasizing special requirements for processing medical imaging data
* Includes many practical examples for MATLAB and Octave with a CD-ROM featuring image material and program files
* Covers three-dimensional volume data sets commonly encountered in tomographic imaging
* Addresses the most frequently used visualization techniques in medical imaging, including image segmentation, 3D image fusion, and tomographic reconstruction
* Requires little more than basic algebra and basic programming skills

Summary
Based on the authors' decades-long tenure in clinical environments and their extensive teaching experience, Applied Medical Image Processing: A Basic Course introduces the basic methods in applied image processing without assuming that readers have extensive prior knowledge beyond basic applied mathematics, physics, and programming. Illustrated with simple, well-commented MATLAB examples, the book's tangible and accessible presentation demonstrates real-life applications.

The rapid evolution of radiological imaging in the past four decades has brought medical image processing into the forefront as an essential tool for clinical research, a crucial component of modern diagnostics, and an indispensable element the actual treatment of diseases. A hands-on introduction to the basic image processing algorithms used in clinical routine applications, Applied Medical Image Processing: A Basic Course closes the gap between basic engineering knowledge such as simple programming and applied mathematics on the one hand, and the general understanding of a science that affects the health of a broad public.

Contents

A Few Basics of Medical Image Sources, J. Hummel
Radiology
The Electromagnetic Spectrum
Basic X-ray Physics
Attenuation and Imaging
Computed Tomography
Magnetic Resonance Tomography
Ultrasound
Nuclear Medicine and Molecular Imaging
Other Imaging Techniques
Radiation Protection and Dosimetry
Summary and Further References

Image Representation, W. Birkfellner
Pixels and Voxels
Gray Scale and Color Representation
Image File Formats
DICOM
Other Formats Analyze 7.5, NifTI and Interfile
Image Quality and the Signal-to-Noise Ratio
Practical Lessons
Summary and Further References

Operations in Intensity Space, W. Birkfellner
The Intensity Transform Function and the Dynamic Range
Windowing
Histograms and Histogram Operations
Dithering and Depth
Practical Lessons
Summary and Further References

Filtering and Transformations, W. Birkfellner
The Filtering Operation
The Fourier Transform
Other Transforms
Summary and Further References

Segmentation, W. Birkfellner
The Segmentation Problem
ROI Definition and Centroids
Thresholding
Region Growing
More Sophisticated Segmentation Methods
Morphological Operations
Evaluation of Segmentation Results
Practical Lessons
Summary and Further References

Spatial Transforms, W. Birkfellner
Discretization Resolution and Artifacts
Interpolation and Volume Regularization
Translation and Rotation
Reformatting
Tracking and Image-Guided Therapy
Practical lessons
Summary and Further References

Registration, W. Birkfellner
Fusing Information
Registration Paradigms
Optimization Strategies
Some General Comments
Camera Calibration
Registration to Physical Space
Evaluation of Registration Results
Practical Lessons
Summary and Further References

Rendering and Surface Models, W. Birkfellner
Visualization
Orthogonal and Perspective Projection, and the Viewpoint
Raycasting
Surface Based Rendering
Practical Lessons
Summary and Further References

CT Reconstruction, M. Figl
Introduction
Radon transform
Algebraic Reconstruction
Some Remarks on Fourier Transform and Filtering
Filtered Backprojection
Practical Lessons
Summary and Further References

A Selection of MATLAB Commands
Control Structures and Operators
I/O and Data Structures
Mathematical Functions
Further References
Glossary
Epilogue, W. Birkfellner
Index