منابع مشابه
Deformable Atlas for Multi-structure Segmentation
We develop a novel deformable atlas method for multistructure segmentation that seamlessly combines the advantages of image-based and atlas-based methods. The method formulates a probabilistic framework that combines prior anatomical knowledge with image-based cues that are specific to the subject's anatomy, and solves it using expectation-maximization method. It improves the segmentation over ...
متن کاملA Three-dimensional Deformable Brain Atlas for DBS Targeting. I. Methodology for Atlas Creation and Artifact Reduction
BACKGROUND Targeting in deep brain stimulation (DBS) relies heavily on the ability to accurately localize particular anatomic brain structures. Direct targeting of subcortical structures has been limited by the ability to visualize relevant DBS targets. METHODS AND RESULTS In this work, we describe the development and implementation, of a methodology utilized to create a three dimensional def...
متن کاملA deformable digital brain atlas system according to Talairach and Tournoux
Brain atlases are valuable tools which assist neurosurgeons during the planning of an intervention. Since a printed atlas book has several disadvantages-among them the difficulty to map the information onto a patient's individual anatomy-we have developed a digital version of the well-established stereotaxic brain atlas of Talairach and Tournoux. Our atlas system is mainly dedicated to assist n...
متن کاملSurface Based Atlas Matching of the Brain Using Deformable Surfaces and Volumetric Finite Elements
The automatic identification and localization of structures in magnetic resonance (MR) brain images are a major part of the processing work for the neuroradiologist in numerous clinical applications, such as functional mapping and surgical planning. To aid in this task, a considerable amount of research has been directed toward the development of 3D standardized atlases of the human brain (e.g....
متن کاملMedical Image - Atlas Registration Using Deformable Models for Anomaly Detection
We introduce a system that automatically segments and classifies structures in brain MRI volumes. It segments 144 structures of a 256x256x124 voxel image in 18 minutes on an SGI computer with four 194 MHz R10K processors. The algorithm uses an atlas, a hand segmented and classified MRI of a normal brain, which is warped in 3-D using a hierarchical deformable registration algorithm until it clos...
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ژورنال
عنوان ژورنال: Computerized Medical Imaging and Graphics
سال: 2008
ISSN: 0895-6111
DOI: 10.1016/j.compmedimag.2008.02.003