Kooperativer Bibliotheksverbund

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Format: XIX, 555 S. : Ill., graph. Darst.

Edition: 1. ed., reprinted

ISBN: 0-412-45570-6

Series Statement: Chapman & Hall computing series

Note: Literaturverz. S. 534 - 542

Language: English

Subjects: Psychology

Keywords: Bildverarbeitung ; Maschinelles Sehen ; Bildverarbeitung ; Mathematische Methode

UID:

Format: XXXV, 870 S. , Ill., graph. Darst.

Edition: 4. ed., international edition

ISBN: 1133593690 , 9781133593690

Language: English

Subjects: Computer Science

Keywords: Bildverarbeitung ; Maschinelles Sehen ; Bildverarbeitung ; Mathematische Methode

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Format: XII, 438 S. , Ill., graph. Darst. , 235 mm x 155 mm

ISBN: 3540226753

Series Statement: Lecture notes in computer science 3117

Content: This book constitutes the thoroughly refereed joint post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004 and Mathematical Methods in Biomedical Image Analysis, MMBIA 2004, both held in Prague, Czech Republic in May 2004 as part of EECV 2004. The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and recvsion. The papers are organized in topical sections on image acquision techniques, image reconstruction, mathematical methods, medical image segmentation, image registration, and applications

Additional Edition: Online-Ausg. Sonka, Milan Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis Berlin, Heidelberg : Springer Berlin Heidelberg, 2004 ISBN 9783540226758

Additional Edition: Erscheint auch als Online-Ausgabe Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis Berlin : Springer, 2004 ISBN 9783540278160

Language: English

Keywords: Medizin ; Maschinelles Sehen ; Bildanalyse ; Konferenzschrift ; Kongress ; Konferenzschrift

URL: Einführung/Vorwort

URL: Cover

URL: Inhaltsverzeichnis

URL: Volltext

URL: http://www.loc.gov/catdir/enhancements/fy0814/2004111941-d.html

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Format: XII, 438 S. : , Ill., graph. Darst.

ISBN: 3-540-22675-3

Series Statement: Lecture notes in computer science 3117

Language: English

UID:

Format: 1218 S.

ISBN: 0-8194-3622-4

Series Statement: Handbook of medical imaging Vol. 2

UID:

Format: XIX, 555 S. , Ill., zahlr. graph. Darst.

Edition: 1. ed.

ISBN: 0412455706

Series Statement: Chapman & Hall computing series

Language: English

Subjects: Psychology

Keywords: Bildverarbeitung ; Maschinelles Sehen ; Bildverarbeitung ; Mathematische Methode ; Bildverarbeitung

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Edition: 3. ed.

ISBN: 9780495082521 , 049508252X

Language: Undetermined

Subjects: Psychology

Keywords: Bildverarbeitung ; Mathematische Methode ; Bildverarbeitung ; Maschinelles Sehen

UID:

Format: XII, 438 S. : , Ill., graph. Darst. ; , 235 mm x 155 mm.

ISBN: 3-540-22675-3

Series Statement: Lecture Notes in Computer Science 3117

Language: English

Keywords: Medizin ; Maschinelles Sehen ; Bildgebendes Verfahren ; Bildanalyse ; Mathematische Methode ; Konferenzschrift ; Kongress - Prag 〈2004〉 - Medizin - Maschinelles Sehen - Bildanalyse

URL: Inhaltsverzeichnis

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Format: 1 online resource (xxxi, 1218 p. : ill.) : , 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." , 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. , Also available in print version. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.

Additional Edition: ISBN 0819436224

Language: English

DOI: 10.1117/3.831079

URL: http://dx.doi.org/10.1117/3.831079

UID:

Format: XXIV, 770 S. : Ill., graph. Darst.

Edition: 2. ed.

ISBN: 0-534-95393-X

Language: English

Subjects: Computer Science

Keywords: Bildverarbeitung ; Maschinelles Sehen ; Bildverarbeitung ; Mathematische Methode