Information Processing in Medical Imaging

This volume contains the papers presented at the 14th International Conference on Information Processing in Medical Imaging. IPMI meetings have a a strong emphasis on the clinical relevance and validation of medical imaging. This book covers the whole spectrum: acquisition, tomographic reconstruction, registration, segmentation, knowledge-based analysis, display and image quality as well as several important applications. Several papers present significant advances in topics already discussed at previous meetings while others deal with new topics and methodology, opening new horizons in medical imaging. In addition to the 28 full-length papers, 30 short communications are included to sample the most current work in progress.
Audience: An up-to-date and complete overview of ongoing research in medical imaging, beneficial to all physicists, computer scientists and physicians who wish to remain informed on state-of-the-art methodology in medical imaging.

List of contents

Part 1. Long papers on: Image formation. Bayesian tomographic reconstruction. Tomographic reconstruction and image quality. Image matching. Model based image segmentation. Shape description. Segmentation. Image understanding. Image registration. Functional imaging. Applications. Part 2. Short papers on: Image formation, tomographic reconstruction and image quality. Shape description. Image segmentation. Image registration. Applications.

Summary

14th International Conference, Ile de Berder, France, June 1995

Product details

• Authors: Y. Bizais, International Conference on Information
• Assisted by: Christian Barillot (Editor), Yves Bizais (Editor), Robert Di Paola (Editor)
• Publisher: Springer Netherlands
• Languages: English
• Product format: Hardback
• Released: 26.06.2009
• EAN: 9780792335931
• ISBN: 978-0-7923-3593-1
• No. of pages: 410
• Weight: 1021 g
• Illustrations: XII, 410 p.
• Series: Computational Imaging and Vision; Computational Imaging and Visi; Computational Imaging and Visi; Computational Imaging and Vision
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages