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A survey of medical image registration
Medical Image Analysis, 1998The purpose of this paper is to present a survey of recent (published in 1993 or later) publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods.
J. B. Antoine Maintz, Max A. Viergever
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Registration of Digital Images
2006 9th International Conference on Information Fusion, 2006In the last few years, the Cultural Heritage field has posed its attention over image processing techniques, in particular for the diagnostic of art works. Many different images of the same painting are taken, in different parts of the light spectrum; these different images have to be fused together, to get an augmented image showing much more details ...
DEL MASTIO, ANDREA, CAPPELLINI, VITO
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Groupwise Multichannel Image Registration
IEEE Journal of Biomedical and Health Informatics, 2019Multichannel image registration is an important challenge in medical image analysis. Multichannel images result from modalities such as dual-energy CT or multispectral microscopy. Besides, multichannel feature images can be derived from acquired images, for instance, by applying multiscale feature banks to the original images to register.
Guyader, Jean-Marie +7 more
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Image registration of medical images
2017 Intelligent Systems and Computer Vision (ISCV), 2017Image registration is a vital problem in medical imaging. It has many potential applications in clinical diagnosis (e.g. diagnosis of cardiac, retinal, pelvic, renal, abdomen, liver and tissue disorders). In this paper a new technique has been proposed based on feature based image registration using SURF (Speeded up robust features) and Hessian matrix ...
Gul E. Saman, Sehrish Jamil
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Deep learning in medical image registration: a survey
Machine Vision and Applications, 2019The establishment of image correspondence through robust image registration is critical to many clinical tasks such as image fusion, organ atlas creation, and tumor growth monitoring and is a very challenging problem.
Grant Haskins, U. Kruger, Pingkun Yan
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Image Matching and Registration
2016When we compare two images, we are faced with the following basic question: when are two images the same or similar, and how can this similarity be measured? Of course one could trivially define two images I 1, I 2 as being identical when all pixel values are the same (i.e., the difference I 1 – I 2 is zero).
Mark J. Burge, Wilhelm Burger
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Image registration method for multimodal images
Applied Optics, 2011A new image registration method for multimodal images is proposed in this paper. This method is a combination of the modified scale invariant feature transform (SIFT) feature extraction algorithm and the shape-context feature descriptor. Salient points of multimodal images are extracted by using the modified SIFT feature extraction algorithm. Then each
Lu Quan +6 more
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Image Registration for Breast Imaging: A Review
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Breast cancer is the most common type of cancer in women worldwide. About ten percent of women are confronted with breast cancer in their lives. Breast Cancer can be most efficiently treated if detected at an early sage. Imaging of the breast can be accomplished using several modalities such as: X-ray, MRI, CT, Ultrasound, and now Molecular Imaging ...
Jasjit S. Suri +2 more
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Geometrical SAR image registration
IEEE Transactions on Geoscience and Remote Sensing, 2006Accurate subpixel registration of synthetic aperture radar (SAR) images is an issue that is again growing interest since its initial developments related to two-pass interferometry. Recent progress in coherent (multichannel) SAR processing raises the need for accurate registration of data takes acquired with large baseline spans, high temporal coverage,
Sansosti E +4 more
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Discrete symmetric image registration
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012Image registration is in principle a symmetric problem. Nonetheless, most intensity-based non-rigid algorithms are asymmetric. In this paper, we propose a novel symmetric deformable registration algorithm formulated in a Markov Random Fields framework where both images are let to deform towards a common domain that lies halfway between two image ...
Sotiras, Aristeidis, Paragios, Nikos
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