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The Resource Handbook of medical imaging, Volume 2, Medical image processing and analysis, (electronic book / Milan Sonka, J. Michael Fitzpatrick, editors)

Handbook of medical imaging, Volume 2, Medical image processing and analysis, (electronic book / Milan Sonka, J. Michael Fitzpatrick, editors)

Label
Handbook of medical imaging, Volume 2, Medical image processing and analysis
Title
Handbook of medical imaging
Title number
Volume 2
Title part
Medical image processing and analysis
Title variation
  • Medical imaging
  • Medical image processing and analysis
Contributor
Subject
Genre
Language
eng
Summary
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
Member of
Additional physical form
Also available in print version.
Cataloging source
CaBNvSL
Dewey number
616.07/54
Illustrations
illustrations
Index
index present
LC call number
RC78.7.D53
LC item number
H36 2000 v. 2
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • handbooks
http://library.link/vocab/relatedWorkOrContributorName
  • Sonka, Milan.
  • Fitzpatrick, J. Michael.
Series statement
SPIE Press monograph
Series volume
80
http://library.link/vocab/subjectName
  • Diagnostic imaging
  • Imaging systems in medicine
  • Image processing
  • Diagnostic Imaging
  • Health Physics
  • Image Processing, Computer-Assisted
  • Psychophysics
  • Technology, Radiologic
Target audience
adult
Label
Handbook of medical imaging, Volume 2, Medical image processing and analysis, (electronic book / Milan Sonka, J. Michael Fitzpatrick, editors)
Instantiates
Publication
Note
"SPIE digital library."
Bibliography note
Includes bibliographical references and index
Color
black and white
Contents
  • 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
  • 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
  • 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
  • 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
  • 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
Dimensions
unknown
Extent
1 online resource (xxxi, 1218 p. : ill.)
File format
multiple file formats
Form of item
electronic
Isbn
9780819481191
Other physical details
digital file.
Reformatting quality
access
Reproduction note
Electronic resource.
Specific material designation
remote
System details
System requirements: Adobe Acrobat Reader
Label
Handbook of medical imaging, Volume 2, Medical image processing and analysis, (electronic book / Milan Sonka, J. Michael Fitzpatrick, editors)
Publication
Note
"SPIE digital library."
Bibliography note
Includes bibliographical references and index
Color
black and white
Contents
  • 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
  • 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
  • 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
  • 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
  • 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
Dimensions
unknown
Extent
1 online resource (xxxi, 1218 p. : ill.)
File format
multiple file formats
Form of item
electronic
Isbn
9780819481191
Other physical details
digital file.
Reformatting quality
access
Reproduction note
Electronic resource.
Specific material designation
remote
System details
System requirements: Adobe Acrobat Reader

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