Digital Image Processing in Medicine

1. Front Matter

   Pages I-VIII

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2. Digital Cardiovascular Radiology

   • P. H. Heintzen, R. Brennecke, J. H. Bürsch

   Pages 1-14

3. The Processing and Analysis of Radiographic Image Sequences

   • M. Böhm, K. H. Höhne

   Pages 15-41

4. CT Techniques in Medical Imaging

   • M. Pfeiler

   Pages 42-92

5. Three-Dimensional Imaging from Tomograms

   • G. T. Herman

   Pages 93-118

6. High Speed Acquisition, Recognition and Retrieval of Cells and Cell-Like Objects

   • Denis Rutovitz

   Pages 119-132

7. Medical Picture Base Systems

   • D. Meyer-Ebrecht, D. Böhring, R. Grewer, K.-J. Mönnich, J. Schmidt, T. Wendler

   Pages 133-148

8. Planar Imaging and Picture Analysis in Nuclear Medicine

   • D. P. Pretschner

   Pages 149-197

In diagnostic medicine a large part of information about the patient is drawn from data, which, more or less, are represented in an opti­ calor pictorial form. There is a very wide range of such data as e.g. the patients appearance, the various kinds of radiological images, or cytological imagery. In conventional diagnostics the data, as it comes from the acquisition device, is perceived by the physician and is interpreted with the help of a large amount of "a priori" knowledge to give a diagnostic finding. During the last 15 years a steadily rising number of attempts have been made to support these processes by the application of com­ puters. The attempts mainly concentrate on three objectives: 1. Support of the perception process by the production of better or new types of images, e.g. by Computer tomography or Computer angio­ graphy (image processing) . 2. Automation of the interpretation process, e.g. for bloodcell dif­ ferentiation (pattern recognition) . 3. Management of the steeply rising amount of medical image data in the hospital (image data bases) . Although the early applications of digital methods aimed at the second . . objective, in the last years much more success has been a achieved in the support of the perception process by methods of image process­ ing. The reason for this is obvious - in the case of automatic interpre­ tation the a priori knowledge of the physician has to be formalized.

• Bildverarbeitung
• Medicine
• Medizin
• coding
• computed tomography (CT)
• data acquisition
• image analysis

• Institut für Mathematik und Datenverarbeitung in der Medizin, Universitäts-Krankenhaus Eppendorf, Hamburg 20, Germany

  Karl Heinz Höhne

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