Abstract
The routine production of 3D (three-dimensional) imaging data from modern imaging systems has led to a rapid growth in image post-processing methods. As described in previous chapters many of these can be applied to single 3D data sets to improve data interpretation by producing 3D visualizations of data content, or by allowing automatic identification of specific features using segmentation techniques. However, in many cases the data content of a single 3D image is inadequate to provide all the information required. Under these circumstances a combination of information from two or more separate data sets may be necessary. As practising radiologists we subconsciously perform this type of data fusion when we use images from CT and different MR sequences to attempt to better characterize an abnormality.
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© 2002 Springer-Verlag Berlin Heidelberg
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Jackson, A., Thacker, N.A. (2002). 3D Image Fusion. In: Caramella, D., Bartolozzi, C. (eds) 3D Image Processing. Medical Radiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59438-0_8
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DOI: https://doi.org/10.1007/978-3-642-59438-0_8
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