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What is Image Fusion

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Simultaneous presentation of multimodal registered images on a visual media.
Published in Chapter:
Combining Geometry and Image in Biomedical Systems: The RT TPS Case
Thomas V. Kilindris (University of Thessaly, Greece) and Kiki Theodorou (University of Thessaly, Greece)
DOI: 10.4018/978-1-60566-314-2.ch013
Abstract
Patient anatomy, biochemical response, as well functional evaluation at organ level, are key fields that produce a significant amount of multi modal information during medical diagnosis. Visualization, processing, and storage of the acquired data sets are essential tasks in everyday medical practice. In order to perform complex processing that involves or rely on image data a robust as well versatile data structure was used as extension of the Visualization Toolkit (VTK). The proposed structure serves as a universal registration container for acquired information and post processed resulted data. The structure is a dynamic multidimensional data holder to host several modalities and/or Meta data like fused image sets, extracted features (volumetric, surfaces, edges) providing a universal coordinate system used for calculations and geometric processes. A case study of Treatment Planning System (TPS) in the stereotactic radiotherapy (RT) based on the proposed structure is discussed as an efficient medical application.
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Image Registration Algorithms for Applications in Oncology
The process of combining relevant information from two or more images into a single image. The resulting image will be more informative than any of the input images.
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Comprehensive Study of Face Recognition Using Feature Extraction and Fusion Face Technique
It is used to integrate information from many photographs of the same scene into a single image that, ideally, retains all of the key aspects from each of the original images. This is accomplished by combining the information from numerous images into a single image.
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Cloud-Based Image Fusion Using Guided Filtering
Is a model for enabling ubiquitous,convenient, on-demand network access to a shared pool of configurable computing resources(eg, networks, servers, storage, applications, and services).
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