3D Medical Image Registration using Mutual Information and Scatter Search
نویسندگان
چکیده
منابع مشابه
A Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information
Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کامل3D Inter-subject Medical Image Registration by Scatter Search
Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matching is an image registration approach based on searching for the right pairing of points between the two images. From this matching, the registration transformation we are searching, can be inferred by means of numerical...
متن کاملMedical image registration using mutual information
Analysis of multispectral or multitemporal images requires proper geometric alignment of the images to compare corresponding regions in each image volume. Retrospective three-dimensional alignment or registration of multimodal medical images based on features intrinsic to the image data itself is complicated by their different photometric properties, by the complexity of the anatomical objects ...
متن کاملSpatial Information Based Medical Image Registration using Mutual Information
Image registration is a problem that arises in many image processing applications whenever information from two or more scenes has to be aligned. A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from spatial information, mutual information, and relative entropy, as a new matching criterion. Firstly, the feature characteristics like loc...
متن کاملa novel subsampling method for 3d multimodality medical image registration based on mutual information
mutual information (mi) is a widely used similarity metric for multimodality image registration. however, it involves an extremely high computational time especially when it is applied to volume images. moreover, its robustness is affected by existence of local maxima. the multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational Interdisciplinary Sciences
سال: 2017
ISSN: 1983-8409,2177-8833
DOI: 10.6062/jcis.2017.08.02.0123