نتایج جستجو برای: atlas
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Medical imaging has shown that, during early development, the brain undergoes more changes in size, shape and appearance than at any other time in life. A better understanding of brain development requires a spatio-temporal atlas that characterizes the dynamic changes during this period. In this paper we present an approach for constructing a 4D atlas of the developing brain, between 28 and 44 ...
Summary: ATLAS (Automatic Tool for Local Assembly Structures) is a comprehensive multi-omics data analysis pipeline that is massively parallel and scalable. ATLAS contains a modular analysis pipeline for assembly, annotation, quantification and genome binning of metagenomics and metatranscriptomics data and a framework for reference metaproteomic database construction. ATLAS transforms raw sequ...
Multi-atlas registration-based segmentation has recently become a popular technique in medical imaging. Since the quality of individual atlas segmentations affect the quality of the results, atlas selection and atlas fusion have become important areas of research for multi-atlas segmentation. In this paper, we present an automatic technique that approximately calculates the quality of registrat...
Longitudinal atlas construction plays an important role in medical image analysis. Given a set of longitudinal images from different subjects, the task of longitudinal atlas construction is to build an atlas sequence which can represent the trend of anatomical changes of the population. The major challenge for longitudinal atlas construction is how to effectively incorporate both the subject-sp...
Atlas construction generally includes first an image registration step to normalize all images into a common space and then an atlas building step to fuse all the aligned images. Although numerous atlas construction studies have been performed to improve the accuracy of image registration step, simple averaging or weighted averaging is often used for the atlas building step. In this paper, we p...
Atlases constructed using diffusion-weighted imaging (DWI) are important tools for studying human brain development. Atlas construction is in general a two-step process involving image registration and image fusion. The focus of most studies so far has been on improving registration thus image fusion is commonly performed using simple averaging, often resulting in fuzzy atlases. In this paper, ...
Multi-atlas segmentation is a widely used tool in medical image analysis, providing robust and accurate results by learning from annotated atlas datasets. However, the availability of fully annotated atlas images for training is limited due to the time required for the labelling task. Segmentation methods requiring only a proportion of each atlas image to be labelled could therefore reduce the ...
An engineer can write test procedures in ATLAS without detailed knowledge of the system that will do the fesfing. HP's new ATLAS compiler is the first comprehensive implementation of whatis iast becoming a worldwide standard test langu age. A TLAS is an English-like language for writing test-4. procedures for electronic equipment. It is designed to be easily understood by programmers, engineers...
Robust deformable image registration using prior shape information for atlas to patient registration
Statistical atlases enable the individualization of atlas information for patient specific applications such as surgical planning. In this paper, a statistical atlas comprising a point distribution model defined on the vertices of a tetrahedral mesh is registered to a subject's computed tomography scan of the human pelvis. The approach consists of a volumetric deformable registration method aug...
Aspects of the Thematic Atlas Compilation . . . . . . . . . . . . . . . . . . . . . . 3 Vit Vozenilek Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Books Called Atlases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Prerequisites for the Compilation of Thematic Atlas . . . . . . . . . . . . . . . ....
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