UID:
almahu_9947418286002882
Format:
1 online resource (xxxi, 1218 p. : ill.) :
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digital file.
ISBN:
9780819481191 (electronic)
Series Statement:
SPIE Press monograph ; PM80
Content:
Volume 2 addresses the methods in use or in development for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as an aid to detection and diagnosis.
Note:
"SPIE digital library."
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Preface to the Handbook of medical imaging -- Introduction to Volume 2: Medical image processing and analysis -- 1. Statistical image reconstruction methods. 1.1. Introduction; 1.2. The problem; 1.3. Optimization algorithms; 1.4. EM algorithms; 1.5. Coordinate-ascent algorithms; 1.6. Paraboloidal surrogates algorithms; 1.7. Direct algorithms; 1.8. Alternatives to Poisson models; 1.9. Emission reconstruction; 1.10. Advanced topics; 1.11. Example results; 1.12. Summary; 1.13. Acknowledgements; 1.14. Appendix: Poisson properties; 1.15. References -- 2. Image segmentation. 2.1. Introduction; 2.2. Image preprocessing and acquisition artifacts; 2.3. Thresholding; 2.4. Edge-based techniques; 2.5. Region-based segmentation; 2.6. Classification; 2.7. Discussion and conclusion; 2.8. Acknowledgements; 2.9. References -- 3. Image segmentation using deformable models. 3.1. Introduction; 3.2. Parametric deformable models; 3.3. Geometric deformable models; 3.4. Extensions of deformable models; 3.5. Conclusion and future directions; 3.6. Further reading; 3.7. Acknowledgments; 3.8. References -- 4. Morphological methods for biomedical image analysis. 4.1. Introduction; 4.2. Binary morphological operators; 4.3. Morphological representation of binary images; 4.4. Grayscale morphological operators; 4.5. Grayscale discrete size transform; 4.6. Morphological image reconstruction; 4.7. Morphological image segmentation; 4.8. Conclusions and further discussion; 4.9. Acknowledgments; 4.10. References.
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5. Feature extraction. 5.1. Introduction; 5.2. Invariance as a motivation for feature extraction; 5.3. Examples of features; 5.4. Feature selection and dimensionality reduction for classification; 5.5. Features in practice; 5.6. Future developments; 5.7. Acknowledgments; 5.8. References -- 6. Extracting surface models of the anatomy from medical images. 6.1. Introduction; 6.2. Surface representations; 6.3. Iso-surface extraction; 6.4. Building surfaces from two-dimensional contours; 6.5. Some topological issues in deformable surfaces; 6.6. Optimization; 6.7. Exemplary algorithms operating on polygonal surfaces; 6.8. Conclusion and perspective; 6.9. References -- 7. Medical image interpretation. 7.1. Introduction; 7.2. Image segmentation; 7.3. Feature-based labeling/classification; 7.4. Knowledge representations and high-level image analysis; 7.5. Image interpretation systems; 7.6. Applications; 7.7. Discussion; 7.8. References-- Color plates.-- 8. Image registration. 8.1. Introduction; 8.2. Geometrical transformations; 8.3. Point-based methods; 8.4. Surface-based methods; 8.5. Intensity-based methods; 8.6. Conclusion; 8.7. Acknowledgments; 8.8. References.
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9. Signal modeling for tissue characterization. 9.1. Introduction; 9.2. Continuous-to-discrete transformations; 9.3. Ultrasonic waveform models; 9.4. Ultrasonic applications; 9.5. Magnetic resonance waveform models; 9.6. Continuous-to-discrete transformations revisited; 9.7. MR applications; 9.8. Summary; 9.9. Acknowledgements; 9.10. References -- 10. Validation of medical image analysis techniques. 10.1. Introduction; 10.2. Types of image analysis problems; 10.3. Definitions of basic performance metrics; 10.4. Methodologies for training and testing; 10.5. Statistical tests; 10.6. Practical pitfalls in estimating performance; 10.7. Conclusions; 10.8. Discussion; 10.9. Acknowledgments; 10.10. References -- 11. Echocardiography. 11.1. Introduction; 11.2. The echocardiographic examination; 11.3. The ventricles; 11.4. The valves; 11.5. Automated analysis; 11.6. Acknowledgments; 11.7. References -- 12. Cardiac image analysis: motion and deformation. 12.1. Introduction; 12.2. Invasive approaches to measuring myocardial deformation; 12.3. Approaches to obtaining estimates of cardiac deformation from 4D images; 12.4. Modeling used for interpolation and smoothing; 12.5. Case study: 3D cardiac deformation; 12.6. Validation of results; 12.7. Conclusions and further research directions; 12.8. Appendix A: Comparison of mechanical models to regularization; 12.9. References.
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13. Angiography and intravascular ultrasound. 13.1. Introduction; 13.2. X-ray angiographic imaging; 13.3. Biplane angiography and 3D reconstruction of coronary trees; 13.4. Introduction to intravascular ultrasound; 13.5. Fusion of biplane angiography and IVUS; 13.6. Left ventriculography; 13.7. Acknowledgments; 13.8. References -- 14. Vascular imaging and analysis. 14.1. Introduction; 14.2. Ultrasound analysis of peripheral artery disease; 14.3. Magnetic resonance angiography; 14.4. Computed tomography angiography and assessment of coronary calcification; 14.5. Acknowledgments; 14.6. References -- 15. Computer-aided diagnosis in mammography. 15.1. Introduction; 15.2. Breast cancer; 15.3. Radiographic manifestations of breast cancer; 15.4. Image requirements in mammography; 15.5. Digitization; 15.6. Computerized analysis of mammograms; 15.7. Segmentation of breast region and preprocessing; 15.8. Lesion extraction; 15.9. Feature extraction; 15.10. Feature selection; 15.11. Classifiers; 15.12. Presentation of CAD results; 15.13. Evaluation of computer analysis methods; 15.14. Evaluation of computer analysis method as an aid; 15.15. (Pre-)clinical experiences and commercial systems; 15.16. Discussion and summary; 15.17. Acknowledgements; 15.18. References -- 16. Pulmonary imaging and analysis. 16.1. Introduction; 16.2. Image segmentation and analysis; 16.3. Applications; 16.4. Summary and future directions; 16.5. References.
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17. Brain image analysis and atlas construction. 17.1. Challenges in brain image analysis; 17.2. Registration to an atlas; 17.3. Deformable brain atlases; 17.4. Warping algorithms; 17.5. Model-driven deformable atlases; 17.6. Probabilistic atlases and model-based morphometry; 17.7. Cortical modeling and analysis; 17.8. Cortical averaging; 17.9. Deformation-based morphometry; 17.10. Voxel-based morphometry; 17.11. Dynamic (4D) brain maps; 17.12. Conclusion; 17.13. Acknowledgments; 17.14. References -- 18. Tumor imaging, analysis, and treatment planning. 18.1. Introduction; 18.2. Medical imaging paradigms; 18.3. Dynamic imaging; 18.4. Conventional and physiological imaging; 18.5. Tissue-specific and physiologic nuclear medicine modalities; 18.6. Positron emission tomography; 18.7. Dynamic contrast-enhanced MRI; 18.8. Functional CT and MRI; 18.9. Perfusion; 18.10. Perfusion MRI; 18.11. Future; 18.12. References -- 19. Soft tissue analysis via finite element modeling. 19.1. Introduction; 19.2. Theoretical background; 19.3. Human skin, neck, and hand modeling and motion analysis; 19.4. Burn scar assessment technique; 19.5. Advanced assessment and modeling issues; 19.6. Conclusions; 19.7. References -- Index.
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Also available in print version.
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Mode of access: World Wide Web.
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System requirements: Adobe Acrobat Reader.
Additional Edition:
ISBN 0819436224
Language:
English
URL:
http://dx.doi.org/10.1117/3.831079
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