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" Applied medical image processing : "
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
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BL
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| Record Number
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644203
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dltt
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| Main Entry
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Birkfellner, Wolfgang
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| Title & Author
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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
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| Edition Statement
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Second edition
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| Page. NO
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xxxi, 423 pages ;; 27 cm
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| ISBN
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9781466555570
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: 1466555572
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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Machine generated contents note: ch. 1 A Few Basics of Medical Image Sources / Johann Hummel -- 1.1. Radiology -- 1.2. The Electromagnetic Spectrum -- 1.3. Basic X-Ray Physics -- 1.4. Attenuation And Imaging -- 1.5.Computed Tomography -- 1.6. Magnetic Resonance Tomography -- 1.7. Ultrasound -- 1.8. Nuclear Medicine And Molecular Imaging -- 1.9. Other Imaging Techniques -- 1.10. Radiation Protection And Dosimetry -- 1.11. Summary And Further References -- ch. 2 Image Processing In Clinical Practice / Wolfgang Birkfellner -- 2.1. Application Examples -- 2.2. Image Databases -- 2.3. Intensity Operations -- 2.4. Filter Operations -- 2.5. Segmentation -- 2.6. Spatial Transforms -- 2.7. Rendering And Surface Models -- 2.8. Registration -- 2.9. Ct Reconstruction -- 2.10. Summary -- ch. 3 Image Representation / Wolfgang Birkfellner -- 3.1. Pixels And Voxels -- 3.2. Gray Scale And Color Representation -- 3.3. Image File Formats -- 3.4. Dicom -- 3.5. Other Formats -- Analyze 7.5, Nifti And Interfile
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Contents note continued: 3.6. Image Quality And The Signal-To-Noise Ratio -- 3.7. Practical Lessons -- 3.8. Summary And Further References -- ch. 4 Operations In Intensity Space / Wolfgang Birkfellner -- 4.1. The Intensity Transform Function And The Dynamic Range -- 4.2. Windowing -- 4.3. Histograms And Histogram Operations -- 4.4. Dithering And Depth -- 4.5. Practical Lessons -- 4.6. Summary And Further References -- ch. 5 Filtering And Transformations / Wolfgang Birkfellner -- 5.1. The Filtering Operation -- 5.2. The Fourier Transform -- 5.3. Other Transforms -- 5.4. Practical Lessons -- 5.5. Summary And Further References -- ch. 6 Segmentation / Wolfgang Birkfellner -- 6.1. The Segmentation Problem -- 6.2. Roi Definition And Centroids -- 6.3. Thresholding -- 6.4. Region Growing -- 6.5. More Sophisticated Segmentation Methods -- 6.6. Morphological Operations -- 6.7. Evaluation Of Segmentation Results -- 6.8. Practical Lessons -- 6.9. Summary And Further References
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Contents note continued: ch. 7 Spatial Transforms / Wolfgang Birkfellner -- 7.1. Discretization -- Resolution And Artifacts -- 7.2. Interpolation And Volume Regularization -- 7.3. Translation And Rotation -- 7.4. Reformatting -- 7.5. Tracking And Image-Guided Therapy -- 7.6. Practical Lessons -- 7.7. Summary And Further References -- ch. 8 Rendering And Surface Models / Wolfgang Birkfellner -- 8.1. Visualization -- 8.2. Orthogonal And Perspective Projection, And The Viewpoint -- 8.3. Raycasting -- 8.4. Surface--Based Rendering -- 8.5. Practical Lessons -- 8.6. Summary And Further References -- ch. 9 Registration / Wolfgang Birkfellner -- 9.1. Fusing Information -- 9.2. Registration Paradigms -- 9.3. Merit Functions -- 9.4. Optimization Strategies -- 9.5. Some General Comments -- 9.6. Camera Calibration -- 9.7. Registration To Physical Space -- 9.8. Evaluation Of Registration Results -- 9.9. Practical Lessons -- 9.10. Summary And Further References -- ch. 10 Ct Reconstruction / Michael Figl
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Contents note continued: 10.1. Introduction -- 10.2. Radon Transform -- 10.3. Algebraic Reconstruction -- 10.4. Some Remarks On Fourier Transform And Filtering -- 10.5. Filtered Backprojection -- 10.6. Practical Lessons -- 10.7. Summary And Further References -- ch. 11 A Tutorial On Image-Guided Therapy / Ziv Yaniv -- 11.1.A Hands-On Approach To Camera Calibration And Image-Guided Therapy -- 11.2. Transformations -- 11.3. Camera Calibration -- 11.4. Image-Guided Therapy, Introduction -- 11.5. Image-Guided Therapy, Navigation System -- 11.6. Image-Guided Therapy, Theory In Practice -- 11.7. Summary And Further References -- ch. 12 A Selection Of Matlab® Commands -- 12.1. Control Structures And Operators -- 12.2.I/O And Data Structures -- 12.3. Mathematical Functions -- 12.4. Further References
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| Abstract
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"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
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| Subject
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Diagnostic imaging
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Diagnostic imaging-- Digital techniques
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Image analysis
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Diagnostic Imaging-- methods
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Image Interpretation, Computer-Assisted-- methods
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Image Processing, Computer-Assisted-- methods
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| Dewey Classification
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616.07/54
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| LC Classification
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RC78.7.D53B575 2014
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