Article

Advances in biomedical image analysis--past, present and future challenges.

Methods of Information in Medicine (Impact Factor: 1.08). 02/2004; 43(4):308-14. DOI: 10.1267/METH04040308
Source: PubMed

ABSTRACT Starting from raw data files coding eight bits of gray values per image pixel and identified with no more than eight characters to refer to the patient, the study, and technical parameters of the imaging modality, biomedical imaging has undergone manifold and rapid developments. Today, rather complex protocols such as Digital Imaging and Communications in Medicine (DICOM) are used to handle medical images. Most restrictions to image formation, visualization, storage and transfer have basically been solved and image interpretation now sets the focus of research. Currently, a method-driven modeling approach dominates the field of biomedical image processing, as algorithms for registration, segmentation, classification and measurements are developed on a methodological level. However, a further metamorphosis of paradigms has already started. The future of medical image processing is seen in task-oriented solutions integrated into diagnosis, intervention planning, therapy and follow-up studies. This alteration of paradigms is also reflected in the literature. As German activities are strongly tied to the international research, this change of paradigm is demonstrated by selected papers from the German annual workshop on medical image processing collected in this special issue.

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    • "Aims 1 to 5 consider a patientcentered treatment, based on sensor, signal, and imaging informatics. For recent reviews in this fields see, e. g., [10] [11] [12] [13]. Tasks 6 to 10 aim at information and knowledge logistics , as defined 30 years ago. "
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    ABSTRACT: Summary Objectives: To summarize current excellent research in the field of sensor, signal and imaging informatics. Methods: Synopsis of the articles selected for the IMIA Yearbook of Medical Informatics 2006. Results: The selection process for this yearbook's section "Sensor, signal and imaging informatics" results in six excellent articles, representing research in five different nations. We selected a cross section of the wide range of application, ranging from model based image segmentation, image retrieval and data mining, image based diagnosis assistance, bio-impedance based skin cancer screening, brain computer interfaces to MRI based computational models for fluid-structure-interactions.
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