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Applied medical image processing : a basic course / 2nd ed

Applied medical image processing : a basic course / 2nd ed (1회 대출)

자료유형
단행본
개인저자
Birkfellner, Wolfgang.
서명 / 저자사항
Applied medical image processing : a basic course / Wolfgang Birkfellner, center for medical physics and biomedical engineering, Medical University of Vienna ; with contributions by Michael Figl and Johann Hummel, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
판사항
2nd ed.
발행사항
Boca Raton :   CRC Press, Taylor & Francis Group,   c2014.  
형태사항
xxxi, 423 p. ; : ill. ; 27 cm.+ 1 CD-ROM.
ISBN
9781466555570 (hardcover : alk. paper)
요약
"This widely used, classroom-tested text continues to be an ideal introduction to image processing in medicine. Updated and expanded, this edition gives more attention to the subject of color space and includes more examples from radiology, internal medicine, surgery, and radiation therapy. The book addresses problems with handling voxels, 3D data sets, spatial transforms in three dimensions, and data fusion. It shows how to visualize large data sets from modern CT systems in radiology, manufacture patient-specific prostheses for orthopedic surgery, plan dose distributions in radiation oncology, incorporate multimodal image data for therapy monitoring in internal medicine, and perform computer-aided neurosurgical interventions. Examples are given throughout and an accompanying CD-ROM includes programming techniques in MATLAB"--Provided by publisher.
서지주기
Includes bibliographical references and index.
일반주제명
Diagnostic Imaging --methods. Image Interpretation, Computer-Assisted --methods. Image Processing, Computer-Assisted --methods.
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010 ▼a 2013047334
020 ▼a 9781466555570 (hardcover : alk. paper)
035 ▼a (KERIS)REF000017309528
040 ▼a DNLM/DLC ▼c DLC ▼e rda ▼d DLC ▼d 211009
050 0 0 ▼a RC78.7.D53 ▼b B575 2014
082 0 0 ▼a 616.07/54 ▼2 23
084 ▼a 616.0754 ▼2 DDCK
090 ▼a 616.0754 ▼b B619a2
100 1 ▼a Birkfellner, Wolfgang.
245 1 0 ▼a Applied medical image processing : ▼b a basic course / ▼c Wolfgang Birkfellner, center for medical physics and biomedical engineering, Medical University of Vienna ; with contributions by Michael Figl and Johann Hummel, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
250 ▼a 2nd ed.
260 ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, ▼c c2014.
300 ▼a xxxi, 423 p. ; : ▼b ill. ; ▼c 27 cm.+ ▼e 1 CD-ROM.
504 ▼a Includes bibliographical references and index.
520 ▼a "This widely used, classroom-tested text continues to be an ideal introduction to image processing in medicine. Updated and expanded, this edition gives more attention to the subject of color space and includes more examples from radiology, internal medicine, surgery, and radiation therapy. The book addresses problems with handling voxels, 3D data sets, spatial transforms in three dimensions, and data fusion. It shows how to visualize large data sets from modern CT systems in radiology, manufacture patient-specific prostheses for orthopedic surgery, plan dose distributions in radiation oncology, incorporate multimodal image data for therapy monitoring in internal medicine, and perform computer-aided neurosurgical interventions. Examples are given throughout and an accompanying CD-ROM includes programming techniques in MATLAB"--Provided by publisher.
650 1 2 ▼a Diagnostic Imaging ▼x methods.
650 2 2 ▼a Image Interpretation, Computer-Assisted ▼x methods.
650 2 2 ▼a Image Processing, Computer-Assisted ▼x methods.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 616.0754 B619a2 등록번호 121246210 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

List of Figures	p. xiii
List of Tables	p. xxi
Foreword	p. xxiii
Preface to the First Edition	p. xxv
Preface to the Second Edition	p. xxvii
User Guide	p. xxix
Acknowledgments	p. xxxi
Chapter 1	A Few Basics of Medical Image Sources   Johann Hummel	p. 1
1.1	    Radiology	p. 2
1.2	    The Electromagnetic Spectrum	p. 2
1.3	    Basic X-Ray Physics	p. 3
1.4	    Attenuation and Imaging	p. 7
1.5	    Computed Tomography	p. 10
1.6	    Magnetic Resonance Tomography	p. 17
1.7	    Ultrasound	p. 28
1.8	    Nuclear Medicine and Molecular Imaging	p. 33
1.9	    Other Imaging Techniques	p. 36
1.10	    Radiation Protection and Dosimetry	p. 39
1.11	    Summary and Further References	p. 43
Chapter 2	Image Processing In Clinical Practice   Wolfgang Birkfellner	p. 45
2.1	    Application Examples	p. 45
2.2	    Image Databases	p. 45
2.3	    Intensity Operations	p. 46
2.4	    Filter Operations	p. 47
2.5	    Segmentation	p. 48
2.6	    Spatial Transforms	p. 49
2.7	    Rendering and Surface Models	p. 51
2.8	    Registration	p. 54
2.9	    Ct Reconstruction	p. 56
2.10	    Summary	p. 56
Chapter 3	Image Representation   Wolfgang Birkfellner	p. 59
3.1	    Pixels and Voxels	p. 59
3.2	    Gray Scale and Color Representation	p. 63
3.3	    Image File Formats	p. 66
3.4	    Dicom	p. 71
3.5	    Other Formats - Analyze 7.5, Nifti and Interfile	p. 73
3.6	    Image Quality and the Signal-to-Noise Ratio	p. 74
3.7	    Practical Lessons	p. 75
3.8	    Summary and Further References	p. 89
Chapter 4	Operations in Intensity Space   Wolfgang Birkfellnec	p. 91
4.1	    The Intensity Transform Function and the Dynamic Range	p. 91
4.2	    Windowing	p. 93
4.3	    Histograms and Histogram Operations	p. 95
4.4	    Dithering and Depth	p. 98
4.5	    Practical Lessons	p. 98
4.6	    Summary and Further References	p. 113
Chapter 5	Filtering and Transformations   Wolfgang Birkfellner	p. 115
5.1	    The Filtering Operation	p. 116
5.2	    The Fourier Transform	p. 128
5.3	    Other Transforms	p. 140
5.4	    Practical Lessons	p. 143
5.5	    Summary and Further References	p. 174
Chapter 6	Segmentation   Wolfgang Birkfellner	p. 177
6.1	    The Segmentation Problem	p. 177
6.2	    Roi Definition and Centroids	p. 178
6.3	    Thresholding	p. 178
6.4	    Region Growing	p. 181
6.5	    More Sophisticated Segmentation Methods	p. 183
6.6	    Morphological Operations	p. 185
6.7	    Evaluation of Segmentation Results	p. 188
6.8	    Practical Lessons	p. 190
6.9	    Summary and Further References	p. 212
Chapter 7	Spatial Transforms   Wolfgang Birkfellner	p. 215
7.1	    Discretization - Resolution and Artifacts	p. 215
7.2	    Interpolation and Volume Regularization	p. 216
7.3	    Translation and Rotation	p. 219
7.4	    Reformatting	p. 228
7.5	    Tracking and Image-Guided Therapy	p. 229
7.6	    Practical Lessons	p. 233
7.7	    Summary and Further References	p. 249
Chapter 8	Rendering and Surface Models   Wolfkaiik Birkfellnei	p. 251
8.1	    Visualization	p. 251
8.2	    Orthogonal and Perspective Projection? and the Viewpoint	p. 252
8.3	    Raycasting	p. 252
8.4	    Surface-Based Rendering	p. 258
8.5	    Practical Lessons	p. 267
8.6	    Summary and Further References	p. 295
Chapter 9	Registration   Wolfgang Birkfellner	p. 297
9.1	    Fusing Information	p. 297
9.2	    Registration Paradigms	p. 299
9.3	    Merit Functions	p. 302
9.4	    Optimization Strategies	p. 313
9.5	    Some General Comments	p. 315
9.6	    Camera Calibration	p. 316
9.7	    Registration to Physical Space	p. 319
9.8	    Evaluation of Registration Results	p. 322
9.9	    Practical Lessons	p. 323
9.10	    Summary and Further References	p. 338
Chapter 10	CT Reconstruction   Michael Figl	p. 339
10.1	    Introduction	p. 339
10.2	    Radon Transform	p. 340
10.3	    Algebraic Reconstruction	p. 345
10.4	    Some Remarks on Fourier Transform and Filtering	p. 351
10.5	    Filtered Backprojection	p. 354
10.6	    Practical Lessons	p. 360
10.7	    Summary and Further References	p. 368
Chapter 11	A Tutorial on Image Guided Therapy   Özgür Güler and Ziv Yaniv	p. 371
11.1	    A Hands-On Approach to Camera Calibration and Image-Guided Therapy	p. 371
11.2	    Transformations	p. 372
11.3	    Camera Calibration	p. 375
11.4	    Mage-Guided Therapy, Introduction	p. 379
11.5	    Image-Guided Therapy, Navigation System	p. 381
11.6	    Image-Guided Therapy, Theory in Practice	p. 384
11.7	    Summary and Further References	p. 390
Chapter 12	A Selection of Matlab® Commands	p. 397
12.1	    Control Structures and Operators	p. 397
12.2	    I/O and Data Structures	p. 398
12.3	    Mathematical Functions	p. 399
12.4	    Further References	p. 401
Glossary	p. 403
List of Matlab Sample Scripts	p. 407
Epilogue	p. 413
Index	p. 415

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