Journal Article10.1109/51.195938
Medical image matching-a review with classification
874
TL;DR: A classification scheme for multimodal image matching is considered and may be used for any modality; not only for projection images and tomographic images, but also for other signal modalities that provide spatial insight into function or anatomy.
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Abstract: A classification scheme for multimodal image matching is considered. The scope of the classification is restricted to methods that register data after acquisitions. The classification scheme may be used for any modality; not only for (2-D) projection images and (3-D) tomographic images, but also for other signal modalities that provide spatial insight into function or anatomy, e.g., EEG (electroencephalography) or MEG (magnetoencephalography) and for the real physical patient. The available literature on image matching is discussed and classified. >
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Citations
A physics-based coordinate transformation for 3-D image matching
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Ill-posed medicine—an introduction to image registration
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TL;DR: Image registration is the process of aligning two or more images of the same scene taken at different times, from different viewpoints and/or by different sensors as mentioned in this paper, which is a crucial step in imaging problems where the valuable information is contained in more than one image.
An image processing approach to surface matching
Nathan Litke,Marc Droske,Martin Rumpf,Peter Schröder +3 more
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TL;DR: A new variational method for matching surfaces that reduces all computations to the 2D setting while accounting for the original geometries, and which can be used to solve the global optimization problem.
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