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Textbook

Medical Image Analysis, 2nd Edition

ISBN: 978-0-470-62205-6
400 pages
March 2011, ©2011, Wiley-IEEE Press
Medical Image Analysis, 2nd Edition (0470622059) cover image
The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter.

A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis part, chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information. A new chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention will also be added.

A companion site containing power point slides, author biography, corrections to the first edition and images from the text can be found here: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/

Send an email to: Pressbooks@ieee.org to obtain a solutions manual.  Please include your affiliation in your email.

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PREFACE TO THE SECOND EDITION.

CHAPTER 1 INTRODUCTION.

1.1. Medical Imaging: A Collaborative Paradigm.

1.2. Medical Imaging Modalities.

1.3. Medical Imaging: from Physiology to Information Processing.

1.4. General Performance Measures.

1.5. Biomedical Image Processing and Analysis.

1.6. Matlab Image Processing Toolbox.

1.7. Imagepro Interface in Matlab Environment and Image Databases.

1.8. Imagej and Other Image Processing Software Packages.

1.9. Exercises.

1.10. References.

1.11. Definitions.

CHAPTER 2 IMAGE FORMATION.

2.1. Image Coordinate System.

2.2. Linear Systems.

2.3. Point Source and Impulse Functions.

2.4. Probability and Random Variable Functions.

2.5. Image Formation.

2.6. Pin-hole Imaging.

2.7. Fourier Transform.

2.8. Radon Transform.

2.9. Sampling.

2.10. Discrete Fourier Transform.

2.11. Wavelet Transform.

2.12. Exercises.

2.13. References.

CHAPTER 3 INTERACTION OF ELECTROMAGNETIC RADIATION WITH MATTER IN MEDICAL IMAGING.

3.1. Electromagnetic Radiation.

3.2. Electromagnetic Radiation for Image Formation.

3.3. Radiation Interaction with Matter.

3.4. Linear Attenuation Coefficient.

3.5. Radiation Detection.

3.6. Detector Subsystem Output Voltage Pulse.

3.7. Exercises.

3.8. References.

CHAPTER 4 MEDICAL IMAGING MODALITIES: X-RAY IMAGING.

4.1. X-Ray Imaging.

4.2. X-Ray Generation.

4.3. X-Ray 2-D Projection Imaging.

4.4. X-Ray Mammography.

4.5. X-Ray CT.

4.6. Spiral X-Ray CT.

4.7. Contrast Agent, Spatial Resolution, and SNR.

4.8. Exercises.

4.9. References.

CHAPTER 5 MEDICAL IMAGING MODALITIES: MAGNETIC RESONANCE IMAGING.

5.1. MRI Principles.

5.2. MR Instrumentation.

5.3. MRI Pulse Sequences.

5.4. Flow Imaging.

5.5. fMRI.

5.6. Diffusion Imaging.

5.7. Contrast, Spatial Resolution, and SNR.

5.8. Exercises.

5.9. References.

CHAPTER 6 NUCLEAR MEDICINE IMAGING MODALITIES.

6.1. Radioactivity.

6.2. SPECT.

6.3. PET.

6.4. Dual-Modality Spect–CT and PET–CT Scanners.

6.5. Exercises.

6.6. References.

CHAPTER 7 MEDICAL IMAGING MODALITIES: ULTRASOUND IMAGING.

7.1. Propagation of Sound in a Medium.

7.2. Reflection and Refraction.

7.3. Transmission of Ultrasound Waves in a Multilayered Medium.

7.4. Attenuation.

7.5. Ultrasound Reflection Imaging.

7.6. Ultrasound Imaging Instrumentation.

7.7. Imaging with Ultrasound: A-Mode.

7.8. Imaging with Ultrasound: M-Mode.

7.9. Imaging with Ultrasound: B-Mode.

7.10. Doppler Ultrasound Imaging.

7.11. Contrast, Spatial Resolution, and SNR.

7.12. Exercises.

7.13. References.

CHAPTER 8 IMAGE RECONSTRUCTION.

8.1. Radon Transform and Image Reconstruction.

8.2. Iterative Algebraic Reconstruction Methods.

8.3. Estimation Methods.

8.4. Fourier Reconstruction Methods.

8.5. Image Reconstruction in Medical Imaging Modalities.

8.6. Exercises.

8.7. References.

CHAPTER 9 IMAGE PROCESSING AND ENHANCEMENT.

9.1. Spatial Domain Methods.

9.2. Frequency Domain Filtering.

9.3. Wavelet Transform for Image Processing.

9.4. Exercises.

9.5. References.

CHAPTER 10 IMAGE SEGMENTATION.

10.1. Edge-Based Image Segmentation.

10.2. Pixel-Based Direct Classifi cation Methods.

10.3. Region-Based Segmentation.

10.4. Advanced Segmentation Methods.

10.5. Exercises.

10.6. References.

CHAPTER 11 IMAGE REPRESENTATION, ANALYSIS, AND CLASSIFICATION.

11.1. Feature Extraction and Representation.

11.2. Feature Selection for Classification.

11.3. Feature and Image Classification.

11.4. Image Analysis and Classification Example: "Difficult-To-Diagnose" Mammographic Microcalcifications.

11.5. Exercises.

11.6. References.

CHAPTER 12 IMAGE REGISTRATION.

12.1. Rigid-Body Transformation.

12.2. Principal Axes Registration.

12.3. Iterative Principal Axes Registration.

12.4. Image Landmarks and Features-Based Registration.

12.5. Elastic Deformation-Based Registration.

12.6. Exercises.

12.7. References.

CHAPTER 13 IMAGE VISUALIZATION.

13.1. Feature-Enhanced 2-D Image Display Methods.

13.2. Stereo Vision and Semi-3-D Display Methods.

13.3. Surface- and Volume-Based 3-D Display Methods.

13.4. VR-Based Interactive Visualization.

13.5. Exercises.

13.6. References.

CHAPTER 14 CURRENT AND FUTURE TRENDS IN MEDICAL IMAGING AND IMAGE ANALYSIS.

14.1. Multiparameter Medical Imaging and Analysis.

14.2. Targeted Imaging.

14.3. Optical Imaging and Other Emerging Modalities.

14.4. Model-Based and Multiscale Analysis.

14.5. References.

INDEX.

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ATAM P. DHAWAN, PhD, is Distinguished Professor in the Electrical and Computer Engineering Department at New Jersey Institute of Technology. He teaches courses in biomedical engineering and has supervised approximately fifty graduate students, including twenty-one PhD students. Dr. Dhawan is a Fellow of the IEEE and the recipient of numerous national and international awards. He has published more than 200 research articles in refereed journals, conference proceedings, and edited books. Dr. Dhawan has chaired numerous study sections and review panels for the National Institutes of Health in biomedical computing and medical imaging and health informatics. His current research interests are medical imaging, multi-modality medical image analysis, multi-grid image reconstruction, wavelets, genetic algorithms, neural networks, adaptive learning, and pattern recognition.
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  • New chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging
  • New chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET
  • Chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information
  • New chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention
  • See More
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