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This multidisciplinary study based on image registration was designed to propose practical solutions for the definition of tumor bed boost in this setting.
In this study we present the analysis of in vivo micro-CT scans using a new method based on image registration that accurately evaluates longitudinal micro-CT studies.
In order to get whole image of wide swath area, the multi-images assembling technology based on image registration (MIAT-IR) will be proposed in this article.
A more advanced approach for skeletal tracking is based on image registration between recorded X-ray images and backprojected CT scans [3, 18, 19].
Based on image registration of the single-cell movement, we have developed automated image analysis methods to track and quantify the FRET signals within user-defined subcellular regions.
Normalization to standard MNI space was done using the unified segmentation approach based on image registration and tissue classification (Ashburner and Friston 2005).
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In literature, there are two categories of registration methods, registration based on image features and registration based on image intensity [1].
The modified OFM based on image intensity gradient was utilized for deformable image registration and the accuracy of registration was reported in previous studies [ 18– 20].
We propose a methodology for designing filters based on image content that minimize the estimator bias inherent to gradient-based image registration.
We have developed image analysis algorithms and methods based on the image registration for tracking the complex movement of migrating cells.
For this purpose, we extend our previously published method for single cell tracking based on nonparametric image registration (Scherf et al., 2012).
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based on cancer registration
based on image processing
based on image quality
based on household registration
based on image classification
based on vehicle registration
based on patient registration
based on case registration
based on image type
based on party registration
based on image infringement
based on image texture
based on image analysis
based on image differencing
based on image ray
based on voter registration
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