On Removing Interpolation and Resampling Artifacts in Rigid Image Registration
نویسندگان
چکیده
منابع مشابه
reducing interpolation artifacts for mutual information based image registration
medical image registration methods which use mutual information as similarity measure have been improved in recent decades. mutual information is a basic concept of information theory which indicates the dependency of two random variables (or two images). in order to evaluate the mutual information of two images their joint probability distribution is required. several interpolation methods, su...
متن کاملImage Interpolation and Resampling
This chapter presents a survey of interpolation and resampling techniques in the context of exact, separable interpolation of regularly sampled data. In this context, the traditional view of interpolation is to represent an arbitrary continuous function as a discrete sum of weighted and shifted synthesis functions—in other words, a mixed convolution equation. An important issue is the choice of...
متن کاملReducing Interpolation Artifacts for Mutual Information Based Image Registration
Medical image registration methods which use mutual information as similarity measure have been improved in recent decades. Mutual Information is a basic concept of Information theory which indicates the dependency of two random variables (or two images). In order to evaluate the mutual information of two images their joint probability distribution is required. Several interpolation methods, su...
متن کاملQuadratic interpolation for image resampling
Nearest-neighbor, linear, and various cubic interpolation functions are frequently used in image resampling. Quadratic functions have been disregarded largely because they have been thought to introduce phase distortions. This is shown not to be the case, and a family of quadratic functions is derived. The interpolating member of this family has visual quality close to that of the Catmull-Rom c...
متن کاملInterpolation Artefacts in Non-rigid Registration
Voxel based non-rigid registration of images involves finding a similarity maximising transformation that deforms a source image to the coordinate system of a target image. In order to do this, interpolation is required to estimate the source intensity values corresponding to transformed target voxels. These interpolated source intensities are used when calculating the similarity measure being ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2013
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2012.2224356