Advances in Medical Image Computing

T. Tolxdorff; T. M. Deserno; H. Handels; H.-P. Meinzer

doi:10.1055/s-0038-1627070

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 2009; 48(04): 311-313
DOI: 10.1055/s-0038-1627070

Editorial

Schattauer GmbH

Advances in Medical Image Computing

T. Tolxdorff

¹Institute of Medical Informatics, Charité – Universitätsmedizin Berlin, Berlin, Germany

,

T. M. Deserno

²Department of Medical Informatics, Aachen University of Technology (RWTH), Aachen, Germany

,

H. Handels

³Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

,

H.-P. Meinzer

⁴Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany

› Institutsangaben

Abstract

Summary

Objectives: Medical image computing has become a key technology in high-tech applications in medicine and an ubiquitous part of modern imaging systems and the related processes of clinical diagnosis and intervention. Over the past years significant progress has been made in the field, both on methodological and on application level. Despite this progress there are still big challenges to meet in order to establish image processing routinely in health care. In this issue, selected contributions of the German Conference on Medical Image Processing (BVM) are assembled to present latest advances in the field of medical image computing.

Methods: The winners of scientific awards of the German Conference on Medical Image Processing (BVM) 2008 were invited to submit a manuscript on their latest developments and results for possible publication in Methods of Information in Medicine. Finally, seven excellent papers were selected to describe important aspects of recent advances in the field of medical image processing.

Results: The selected papers give an impression of the breadth and heterogeneity of new developments. New methods for improved image segmentation, non-linear image registration and modeling of organs are presented together with applications of image analysis methods in different medical disciplines. Furthermore, state-of-the-art tools and techniques to support the development and evaluation of medical image processing systems in practice are described.

Conclusions: The selected articles describe different aspects of the intense development in medical image computing. The image processing methods presented enable new insights into the patient’s image data and have the future potential to improve medical diagnostics and patient treatment.

Keywords

Medical image computing - image segmentation - non-linear image registration - image analysis - modeling of organs - software development - medical informatics

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Referenzen

References
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