Applied medical image processing: a basic course
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Boca Raton, Fla. [u.a.]
CRC Press
2011
|
| Series: | Biomedical engineering
|
| Subjects: | |
| Online Access: | Klappentext Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | XXXI, 372 S. zahlr. Ill., graph. Darst. |
| ISBN: | 9781439824443 |
Staff View
MARC
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| 245 | 1 | 0 | |a Applied medical image processing |b a basic course |c Wolfgang Birkfellner ; with contributions by Michael Figl and Johann Hummel |
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2011 | |
| 300 | |a XXXI, 372 S. |b zahlr. Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Biomedical engineering | |
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Diagnostic imaging | |
| 650 | 4 | |a Diagnostic Imaging |x methods | |
| 650 | 4 | |a Image Interpretation, Computer-Assisted |x methods | |
| 650 | 4 | |a Image Processing, Computer-Assisted |x methods | |
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| 700 | 1 | |a Figl, Michael |e Sonstige |4 oth | |
| 700 | 1 | |a Hummel, Johann |e Sonstige |4 oth | |
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Record in the Search Index
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| adam_text | Contents
List of
Figures
xiii
List of Tables
xxi
Foreword
xxiii
Preface
xxvii
User Guide
xxix
Acknowledgments
xxxi
1
A Few Basics of Medical Image Sources
1
by
Johann
Hummel
1.1
Radiology
1
і
.2
The electromagnetic spectrum
1
1.3
Basic x-ray physics
3
1.3.1
The x-ray tube
3
1.3.2
X-ray detectors
4
1.4
Attenuation and imaging
7
1.5
Computed tomography
10
1.5.1
Basics of CT and scanner generations
10
1.5.2
Imaging geometries and CT technologies
13
1.5.3
Image artifacts in CT
16
1.5.4
Safety aspects
18
1.6
Magnetic resonance tomography
18
1.6.1
Basic
MRI
physics
18
1.6.1.1
Relaxation processes
20
1.6.1.2
Spin-echo
22
1.6.2
Tissue contrast
23
1
.6.3
Spatial localization
24
1.6.3.1
Slice selection
24
1.6.3.2
Frequency encoding
25
1.6.3.3
Phase encoding
25
VIU
CONTENTS
1.6.4
Image artifacts in MR
26
1.6.5
The elements of an MR system
26
1.6.5.1
The main static magnetic field
26
1.6.5.2
Gradient fields
27
1.6.5.3
The RF system
27
1.6.6
Safety aspects
28
.7
Ultrasound
29
1.7.1
Some physical properties of sound
29
1.7.2
Basic principles
29
1.7.3
Image artifacts in B-Mode US imaging
30
1.7.4
Doppler
effect
32
1.7.5 3D
imaging
32
1.7.6
Safety aspects
33
1.8
Nuclear medicine and molecular imaging
34
1.8.1
Scintigraphy
34
1.8.2
The
7
camera
35
1.8.3
SPECTandPET
35
1.9
Other imaging techniques
38
1.10
Radiation protection and dosimetry
40
1.10.1
Terminology of dosimetry
40
1.10.2
Radiation effects on tissue and organs
41
1.10.3
Natural and man-made radiation exposure
42
1.11
Summary and further references
43
2
Image Representation
45
by Wolfgang Birkfellner
2.1
Pixels and voxels
45
2.1.1
Algebraic image operations
49
2.2
Gray scale and color representation
49
2.2.1
Depth
49
2.2.2
Color and look up tables
50
2.3
Image file formats
51
2.4
DICOM
57
2.5
Other formats
-
Analyze
7.5,
NifTI and Interfile
60
2.6
Image quality and the signal-to-noise ratio
62
2.7
Practical lessons
62
2.7.1
Opening and decoding a single DICOM file in
MATLAB
62
2.7.2
Image subtraction
67
2.7.3
Converting a color image to gray scale
69
2.7.3.1
A note on good
MATLAB
programming habits
71
2.7.4
Computing the
SNR
of x-ray images as a function of
radiation dose
71
2.8
Summary and further references
74
CONTENTS ix
3
Operations in Intensity Space
75
by Wolfgang Birkfellner
3.1
The intensity transform function and the dynamic range
75
3.2
Windowing
77
3.3
Histograms and histogram operations
79
3.4
Dithering and depth
82
3.5
Practical lessons
82
3.5.1
Linear adjustment of image depth range
82
3.5.1.1
A note on good
MATLAB
programming habits
83
3.5.2
Improving visibility of low-contrast detail
-
taking the
logarithm
84
3.5.3
Modelling a general nonlinear transfer function
-
the
Sigmoid
84
3.5.4
Histograms and histogram operations
86
3.6
Summary and further references
88
4
Filtering and Transformations
91
by Wolfgang Birkfellner
4.1
The filtering operation
91
4.1.1
Kernel based smoothing and sharpening operations
93
4.1.2
Differentiation and edge detection
96
4.1.3
Helpful non-linear filters
103
4.2
The Fourier transform
105
4.2.1
Basic linear algebra and series expansions
105
4.2.2
Waves
-
a special
orthonormal
system
109
4.2.3
Some important properties of the Fourier transform
115
4.2.4
Image processing in the frequency domain
116
4.2.5
Modelling properties of imaging systems
-
the
PSF
and the
MTF
118
4.3
Other transforms
119
4.3.1
The Hough transform
119
4.3.2
The distance transform
121
4.4
Practical lessons
122
4.4.1
Kernel-based low pass and high pass filtering
122
4.4.2
Numerical differentiation
124
4.4.2.1
A note on good
MATLAB
programming habits
126
4.4.3
Unsharp masking
126
4.4.4
The median filter
127
4.4.5
Some properties of the Fourier-transform
128
4.4.5.1
Spectra of simple functions in k-space
128
4.4.5.2
More complex functions
130
4.4.5.3
Convolution of simple functions
133
4.4.5.4
Differentiation in k-space
134
x
CONTENTS
4.4.6
Frequency filtering in Fourier-space on images
136
4.4.7
Applied convolution
-PSF
and the MTF
137
4.4.8
The Hough transform
140
4.4.9
The distance transform
145
4.5
Summary and further references
147
5
Segmentation
149
by Wolfgang Birkfellner
5.1
5.2
5.3
5.4
5.5
5.6
5.7
5.8
The segmentation problem
149
ROI
definition and centroids
149
Thresholding
150
Region growing
153
More sophisticated segmentation methods
155
5.5.1
ITK SNAP
-
a powerful implementation of a segmentation
algorithm at work
158
Morphological operations
159
Evaluation of segmentation results
161
Practical lessons
163
5.8.1
Count rate evaluation by
ROI
selection
163
5.8.2
Region definition by global thresholding
165
5.8.3
Region growing
166
5.8.4
Region growing in
3D
170
5.8.5
A very simple snake-type example
173
5.8.6
Erosion and dilation
177
5.8.7
Hausdorff-distances and Dice-coefficients
179
5.8.8
Improving segmentation results by filtering
181
5.8.8.1
Better thresholding
181
5.8.8.2
Preprocessing and active contours
184
Summary and further references
188
5.9
Spatial Transforms
191
by Wolfgang Birkfellner
6.1
Discretization
-
resolution and artifacts
191
6.2
Interpolation and volume regularization
191
6.3
Translation and rotation
194
6.3.1
Rotation in 2D
-
some properties of the rotation matrix
194
6.3.2
Rotation and translation in
3D 198
6.3.3
A special case
-
the principal axis transform
201
6.3.4
The quaternion representation of rotations
203
6.4
Reformatting
206
6.5
Tracking and image-guided therapy
206
6.6
Practical lessons
210
6.6.1
Spatial image transforms in 2D
210
6.6.2
Two simple interpolation examples
213
CONTENTS xi
6.6.3
A special case
-
the PCA on binary images
218
6.6.4
A geometric reformatting example
-
conic sections
221
6.6.5
A reformatting example on a small volume data set
224
6.6.6
Convolution revisited
228
6.7
Summary and further references
229
7
Registration
231
by Wolfgang Birkfellner
7.1
Fusing information
231
7.2
Registration paradigms
233
7.2.1
Intra-
and
intermodal
registration
233
7.2.2
Rigid and non-rigid registration
235
7.3
Merit functions
237
7.4
Optimization strategies
246
7.5
Some general comments
248
7.6
Camera calibration
250
7.7
Registration to physical space
253
7.7.1
Rigid registration using fiducial markers and surfaces
253
7.7.2
2D/3D registration
256
7.8
Evaluation of registration results
257
7.9
Practical lessons
258
7.9.1
Registration of 2D images using cross-correlation
258
7.9.2
Computing joint histograms
260
7.9.3
Plotting the mutual information merit function
263
7.9.4
Chamfer matching
264
7.9.5
Optimization
265
7.9.6
The direct linear transform
272
7.9.7
Marker based registration
273
7.10
Summarv and further references
274
8
Rendering and Surface Models
277
by Wolfgang Birkfellner
8.1
Visualization
277
8.2
Orthogonal and perspective projection, and the viewpoint
277
8.3 Raycasting 278
8.3.1
МІР,
DRRs and volume rendering
280
8.3.2
Other rendering techniques
284
8.4
Surface-based rendering
284
8.4.1
Surface extraction, file formats for surfaces, shading and
textures
288
8.4.2
Shading models
293
8.4.3
A special application
-
virtual endoscopy
294
8.5
Practical lessons
295
8.5.1
A perspective example
295
xii CONTENTS
8.5.2 Simple orthogonal raycasting 296
8.5.3
Viewpoint transforms and splat rendering
299
8.5.4
A
simple
surface rendering
-
depth shading
302
8.5.5
Rendering of voxel surfaces
305
8.5.6
Extracting a surface using the cubenlle algorithm
310
8.5.7
A demonstration of shading effects
314
8.6
Summary and further references
316
9
CT Reconstruction
319
by Michael Figl
9.1
Introduction
319
9.2
Radon transform
319
9.2.1
Attenuation
320
9.2.2
Definition of the Radon transform in the plane
320
9.2.3
Basic properties and examples
322
9.2.4
MATLAB
implementation
323
9.3
Algebraic reconstruction
325
9.3.1
A system of linear equations
326
9.3.2
Computing the system matrix with
MATLAB
327
9.3.3
How to solve the system of equations
328
9.4
Some remarks on Fourier transform and filtering
333
9.5
Filtered backprojection
335
9.5.1
Projection slice theorem
335
9.5.2
Filtered backprojection algorithm
338
9.6
Practical lessons
341
9.6.1
Simple backprojection
342
9.6.2
Noise
344
9.6.3
Ring artifacts
345
9.6.4
Streak artifacts
347
9.7
Summary and further references
348
10
A Selection of
MATLAB
Commands
351
10.1
Control structures and operators
351
10.2
I/O and data structures
352
10.3
Mathematical functions
353
10.4
Further references
355
11
Glossary
357
12
Epilogue
361
by Wolfgang Birkfellner
Index
363
Biomedical
Engineering
Applied Medical Image Processing
A Basic Course
...
significant and timely. It provides a cogent, not overly simplified, not excessively
mathematical treatise of basic principles that the student, trainee, young scientist, and
junior practitioner can readily grasp and apply.
...
Those who read this book will be able to
make a truly useful picture .
—From the Foreword by Prof. Richard A. Robb, Mayo Clinic College of Medicine
Based on the author s decades-long tenure in clinical environments and extensive teaching
experience, Applied Medical Image Processing: A Basic Course introduces the basic methods
in applied image processing without assuming that readers have prior knowledge beyond basic
applied mathematics, physics, and programming. Illustrated with simple, well-explained
MATLAB®
examples, the book s tangible and accessible presentation provides an invaluable learning guide
with extensive use of real-life applications.
Featuring a supplementary CD-ROM with more than
70
simple, tangible
MATLABe/Octave
scripts,
this book:
•
Provides a self-contained, complete basic introduction to the field, emphasizing specific
requirements for processing medical imaging data
•
Contains practical examples for
MATLAB
and its public domain counterpart Octave with a
CD-ROM featuring image material and program files
•
Includes coverage of 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
Recent advances in radiological imaging have brought medical image processing to the forefront
as an essential tool for clinical research, a crucial component of modern diagnostics, and an
indispensable element in 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 of simple
programming and applied mathematics and medical practice.
|
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| id | DE-604.BV037157054 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:52:44Z |
| institution | BVB |
| isbn | 9781439824443 |
| language | English |
| lccn | 2010029278 |
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| physical | XXXI, 372 S. zahlr. Ill., graph. Darst. |
| publishDate | 2011 |
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| publisher | CRC Press |
| record_format | marc |
| series2 | Biomedical engineering |
| spelling | Applied medical image processing a basic course Wolfgang Birkfellner ; with contributions by Michael Figl and Johann Hummel Boca Raton, Fla. [u.a.] CRC Press 2011 XXXI, 372 S. zahlr. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Biomedical engineering Includes bibliographical references and index Diagnostic imaging Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Image Processing, Computer-Assisted methods Bildgebendes Verfahren (DE-588)4006617-4 gnd rswk-swf Bildgebendes Verfahren (DE-588)4006617-4 s DE-604 Birkfellner, Wolfgang Sonstige oth Figl, Michael Sonstige oth Hummel, Johann Sonstige oth Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021071718&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021071718&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Applied medical image processing a basic course Diagnostic imaging Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Image Processing, Computer-Assisted methods Bildgebendes Verfahren (DE-588)4006617-4 gnd |
| subject_GND | (DE-588)4006617-4 |
| title | Applied medical image processing a basic course |
| title_auth | Applied medical image processing a basic course |
| title_exact_search | Applied medical image processing a basic course |
| title_full | Applied medical image processing a basic course Wolfgang Birkfellner ; with contributions by Michael Figl and Johann Hummel |
| title_fullStr | Applied medical image processing a basic course Wolfgang Birkfellner ; with contributions by Michael Figl and Johann Hummel |
| title_full_unstemmed | Applied medical image processing a basic course Wolfgang Birkfellner ; with contributions by Michael Figl and Johann Hummel |
| title_short | Applied medical image processing |
| title_sort | applied medical image processing a basic course |
| title_sub | a basic course |
| topic | Diagnostic imaging Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Image Processing, Computer-Assisted methods Bildgebendes Verfahren (DE-588)4006617-4 gnd |
| topic_facet | Diagnostic imaging Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Image Processing, Computer-Assisted methods Bildgebendes Verfahren |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021071718&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021071718&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT birkfellnerwolfgang appliedmedicalimageprocessingabasiccourse AT figlmichael appliedmedicalimageprocessingabasiccourse AT hummeljohann appliedmedicalimageprocessingabasiccourse |