Medical Images: Formation, Handling and Evaluation

1. Front Matter

   Pages I-IX

   PDF

2. An Introduction to and Overview of the Field

   1. Front Matter

      Pages 1-1

      PDF

   2. Image Reconstruction and the Solution of Inverse Problems in Medical Imaging

      • Harrison H. Barrett

      Pages 3-42

   3. Regularization Techniques in Medical Imaging

      • M. Defrise

      Pages 43-64

   4. New Insights into Emission Tomography Via Linear Programming

      • L. A. Shepp, R. J. Vanderbei

      Pages 65-86

   5. Mathematical Morphology and Medical Imaging

      • F. Prêteux

      Pages 87-117

   6. Multiscale Methods and the Segmentation of Medical Images

      • Stephen M. Pizer

      Pages 119-143

   7. Voxel-Based Visualization of Medical Images in Three Dimensions

      • K. H. Höhne, M. Bomans, A. Pommert, M. Riemer, C. Schiers, U. Tiede et al.

      Pages 145-158

   8. Perception and Detection of Signals in Medical Images

      • A. E. Burgess

      Pages 159-217

   9. Artificial Intelligence in the Interpretation of Medical Images

      • E. Backer

      Pages 219-258

   10. Picture Archiving and Communications Systems: Progress and Current Problems

       • G. Q. Maguire Jr.

       Pages 259-275

   11. Evaluation of Medical Images

       • Charles E. Metz

       Pages 277-300

3. Theoretical Aspects

   1. Front Matter

      Pages 301-301

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   2. 3-D

      1. A 3D Model of the Global Deformation of a Non-Rigid Body

         • D. Friboulet, I. E. Magnin

         Pages 303-321

      2. Simulation Studies for Quality Assurance of 3D-Images from Computed Tomograms

         • A. Pommert, M. Bomans, U. Tiede, K. H. Höhne

         Pages 323-330

      3. Interactive Volume Rendering Using Ray-Tracing for 3-D Medical Imaging

         • Christian Barillot

         Pages 331-341

   3. Reconstruction

      1. Data Augmentation Schemes Applied to Image Restoration

         • Valen E. Johnson, Wing H. Wong, Xiaoping Hu, Chin-Tu Chen

         Pages 345-360

      2. The Concept of Causality in Image Reconstruction

         • Jorge Llacer, Eugene Veklerov, Jorge Nunez

         Pages 361-376

      3. On the Relation between ART, Block-ART and SIRT

         • Marcel C. A. van Dijke, Henk A. van der Vorst, Max A. Viergever

         Pages 377-396

      4. Preliminary Results from Simulations of Tomographic Imaging Using Multiple-Pinhole Coded Apertures

         • J. N. Aarsvold, H. H. Barrett, T. A. Gooley, T. J. Roney, R. K. Rowe, W. E. Smith

         Pages 397-409

Medical imaging is a very important area in diagnostic (and increasingly therapeutic) medicine. Many new techniques are being developed or extended which depend on digital methods. Although conventional x-radiographs still comprise the bulk of the medical images acquired in a hospital, digital methods such as computerized tomography and magnetic resonance imaging are now often claimed to have a more significant clinical impact. This book is concerned with three aspects of such digital images: their formation, or how they can be acquired; their handling, or how they may be manipulated to increase their clinical value; and their evaluation, or how their impact and value may be assessed. The book is divided into three parts. Part 1 comprises a series of reviews in the general subject area written by authorities in the field. Part 2 includes papers on theoretical aspects: 3D images, reconstruction, perception, and image processing. Part 3includes papers on applications in nuclear medicine, magnetic resonance, andradiology.

• Digitale Bilder
• Moment
• Nuklearmedizin
• Radiology
• algorithms
• artificial intelligence
• digital images
• evaluation
• image processing
• image restoration
• mathematical morphology
• medical imaging
• nuclear medicine
• rendering
• statistics

• Department of Medical Physics, University College London, London, UK

  Andrew E. Todd-Pokropek

• Computer Vision Research Group University Hospital Utrecht E02.222, Utrecht University, Utrecht, The Netherlands

  Max A. Viergever

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