Searching for authors named "Christos Davatzikos" – sorted by Relevance.
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Brain Morphometrics Using Geometry-Based Shape Transformations
- This paper presents a methodology for shape analysis of anatomical structures. A template shape is used as a unit, and a shape transformation mapping the template to a particular structure is used to quantify the shape of the structure with respect to the template. The geometric characteristics of t
- Cited by 2 (0 self) – Add To MetaCart
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Spatial Normalization of 3D Brain Images Using Deformable Models
- Objective. The spatial normalization and registration of tomographic images from different subjects is a major problem in several medical imaging areas, including functional image analysis, morphometrics, and computer aided neurosurgery. The focus of this paper is the development of a computerized m
- Cited by 44 (2 self) – Add To MetaCart
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Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models
- The development of algorithms for the spatial transformation and registration of tomographic brain images is a key issue in several clinical and basic science medical applications, including computer aided neurosurgery, functional image analysis, and morphometrics. This paper describes a technique f
- Cited by 80 (10 self) – Add To MetaCart
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Nonlinear Registration of Brain Images Using Deformable Models
- A key issue in several brain imaging applications, including computer aided neurosurgery, functional image analysis, and morphometrics, is the spatial normalization and registration of tomographic images from different subjects. This paper proposes a technique for spatial normalization of brain imag
- Cited by 13 (3 self) – Add To MetaCart
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Low-constant Parallel Algorithms for Finite Element Simulations using Linear Octrees
- In this article we propose parallel algorithms for the construction of conforming finite-element discretization on linear octrees. Existing octree-based discretizations scale to billions of elements, but the complexity constants can be high. In our approach we use several techniques to minimize over
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Hierarchical Matching of Cortical Features for Deformable Brain Image Registration
- . This paper builds upon our previous work on elastic registration, using surface-to-surface mapping. In particular, a methodology for finding a smooth map from one cortical surface to another is presented, using constraints imposed by a number of sulcal and gyral curves. The outer cortical surface
- Cited by 21 (1 self) – Add To MetaCart
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Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
- . This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical information in a hierarchical scheme. Geometric information is embedded into the model via an affine-invariant attribute vec
- Cited by 13 (5 self) – Add To MetaCart
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An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
- An active contour (snake) model is presented, with emphasis on medical imaging applications. There are three main novelties in the proposed model. First, an attribute vector is used to characterize the geometric structure around each point of the snake model; the deformable model then deforms in
- Cited by 12 (3 self) – Add To MetaCart
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Finding Parametric Representations of the Cortical Sulci Using an Active Contour Model
- The cortical sulci are brain structures resembling thin convoluted ribbons embedded in 3D. The importance of the sulci lies primarily in their relation to the cytoarchitectonic and functional organization of the underlying cortex, and in their utilization as features in non-rigid registration method
- Cited by 18 (1 self) – Add To MetaCart
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HAMMER: Hierarchical attribute matching mechanism for elastic registration
- A new approach is presented for elastic registration of medical images, and is applied to magnetic resonance images of the brain. Experimental results demonstrate very high accuracy in superposition of images from different subjects. There are two major novelties in the proposed algorithm. First, it
- Cited by 36 (1 self) – Add To MetaCart

