Handbook of medical imaging. Volume 2, Medical image processing and analysis /

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.

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Bibliographic Details
Other Authors: Sonka, Milan., Fitzpatrick, J. Michael.
Format: eBook
Language: English
Published: Bellingham, Wash. : SPIE Press, ©2000.
Series: SPIE monograph ; PM80.
Subjects:
Diagnostic imaging > Digital techniques > Handbooks, manuals, etc.
Imaging systems in medicine > Handbooks, manuals, etc.
Diagnostic imaging.
Psychophysics.
elektronické knihy
electronic books
ISBN: 9781615837298
1615837299
9780819481191
081948119X
0819436224
9780819436221
9780819477606
0819477605
0819436216
9780819436238
Physical Description: 1 online resource (xxxi, 1218 pages) : illustrations

Cover

Table of contents

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245 0 0 |a Handbook of medical imaging.  |n Volume 2,  |p Medical image processing and analysis /  |c Milan Sonka, J. Michael Fitzpatrick, ed. 
246 3 0 |a Medical imaging 
246 3 0 |a Medical image processing and analysis 
260 |a Bellingham, Wash. :  |b SPIE Press,  |c ©2000. 
300 |a 1 online resource (xxxi, 1218 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a SPIE Press monograph ;  |v PM80 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Diagnostic imaging  |x Digital techniques  |v Handbooks, manuals, etc. 
650 0 |a Imaging systems in medicine  |v Handbooks, manuals, etc. 
650 0 |a Diagnostic imaging. 
650 0 |a Psychophysics. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Sonka, Milan. 
700 1 |a Fitzpatrick, J. Michael. 
776 0 8 |i Print version:  |t Handbook of medical imaging. Volume 2, Medical image processing and analysis.  |d Bellingham, Wash. : SPIE Press, ©2000  |z 0819436224 
830 0 |a SPIE monograph ;  |v PM80. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpHMIVMIP7/handbook-of-medical?kpromoter=marc  |y Full text 

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