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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.
Maintz, J.B.A., Viergever, M.A.
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Journal of Atrial Fibrillation, 2008
Long procedure time and somewhat suboptimal results hinder the widespread use of catheter ablation of complex arrhythmias such as atrial fibrillation (AF). Due to lack of contrast differentiation between the area of interest and surrounding structures in a moving organ like heart, there is a lack of proper intraprocedural guidance using current imaging
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Long procedure time and somewhat suboptimal results hinder the widespread use of catheter ablation of complex arrhythmias such as atrial fibrillation (AF). Due to lack of contrast differentiation between the area of interest and surrounding structures in a moving organ like heart, there is a lack of proper intraprocedural guidance using current imaging
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Analysing ‘Simple’ Image Registrations
Journal of Mathematical Imaging and Vision, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephen Marsland +2 more
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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
Bingjian, Wang +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 ...
Yujun, Guo +2 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 ...
Sehrish Jamil, Gul E Saman
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Medical image registration: a review
Computer Methods in Biomechanics and Biomedical Engineering, 2012This paper presents a review of automated image registration methodologies that have been used in the medical field. The aim of this paper is to be an introduction to the field, provide knowledge on the work that has been developed and to be a suitable reference for those who are looking for registration methods for a specific application.
Francisco P M, Oliveira +1 more
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Curvature Based Image Registration
Journal of Mathematical Imaging and Vision, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fischer, Bernd, Modersitzki, Jan
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Multiresolution elastic image registration
Medical Physics, 1998We have developed a multiscale algorithm for elastic (or molded) alignment of images. There is a wide array of medical applications of elastic (as opposed to strictly rigid) alignment: Subtraction of previous images from current ones to identify changes is perhaps the most obvious.
P J, Kostelec, J B, Weaver, D M, Healy
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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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