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1 - 25 of 14
| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Gerig, Guido | Analysis of longitudinal shape variability via subject specific growth modeling | Statistical analysis of longitudinal imaging data is crucial for understanding normal anatomical development as well as disease progression. This fundamental task is challenging due to the difficulty in modeling longitudinal changes, such as growth, and comparing changes across different populations... | 2012-01-01 | |
| 2 |
 | Gerig, Guido | Assessment of reliability of multi-site neuroimaging via traveling phantom study | This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of magnetic resonance image data including intra- and intersite comparison. Locations and magnitude of geometric deformation is studied... | 2008-01-01 | |
| 3 |
 | Gerig, Guido | Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties | It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynamic process. Modeling changes in healthy aging will be necessary to explain differences to neurodegenerative patterns observed in m... | 2009-01-01 | |
| 4 |
 | Gerig, Guido | Estimation of smooth growth trajectories with controlled acceleration from time series shape data | Longitudinal shape analysis often relies on the estimation of a realistic continuous growth scenario from data sparsely distributed in time. In this paper, we propose a new type of growth model para-meterized by acceleration, whereas standard methods typically control the velocity. This mimics the b... | 2011-01-01 | |
| 5 |
 | Gerig, Guido | Geodesic image regression with a sparse parameterization of diffeomorphisms | Image regression allows for time-discrete imaging data to be modeled continuously, and is a crucial tool for conducting statistical analysis on longitudinal images. Geodesic models are particularly well suited for statistical analysis, as image evolution is fully characterized by a baseline image an... | 2013-01-01 | |
| 6 |
 | Gerig, Guido | Geodesic shape regression in the framework of currents | Shape regression is emerging as an important tool for the statistical analysis of time dependent shapes. In this paper, we develop a new generative model which describes shape change over time, by extending simple linear regression to the space of shapes represented as currents in the large deformat... | 2013-01-01 | |
| 7 |
 | Gerig, Guido | Group statistics of DTI fiber bundles using spatial functions of tensor measures | We present a framework for hypothesis testing of differences between groups of DTI ber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the distribution of diffusion properties. The parametrization of sampled, smooth functions is normalized across a population ... | 2008-01-01 | |
| 8 |
 | Gerig, Guido | Image registration driven by combined probabilistic and geometric descriptors | Deformable image registration in the presence of considerable contrast dierences and large-scale size and shape changes represents a signicant challenge for image registration. A representative driving application is the study of early brain development in neuroimaging, which requires co-registratio... | 2010-01-01 | |
| 9 |
 | Gerig, Guido | Mixed-effects shape models for estimating longitudinal changes in anatomy | 2012-01-01 | ||
| 10 |
 | Gerig, Guido | Modeling 4D changes in pathological anatomy using domain adaptation: analysis of TBI imaging using a tumor database | Analysis of 4D medical images presenting pathology (i.e., lesions) is significantly challenging due to the presence of complex changes over time. Image analysis methods for 4D images with lesions need to account for changes in brain structures due to deformation, as well as the formation and deletio... | 2013-01-01 | |
| 11 |
 | Gerig, Guido | Population-based fitting of medial shape models with correspondence optimization | A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary representations, this has been a considerable challenge for medial representations. This paper uses a new 3-D medial model... | 2007-01-01 | |
| 12 |
 | Gerig, Guido | Subcortical structure segmentation using probabilistic atlas priors | The segmentation of the subcortical structures of the brain is required for many forms of quantitative neuroanatomic analysis. The volumetric and shape parameters of structures such as caudate are employed to characterize a disease or its evolution. This paper presents our fully automatic segmentati... | 2007-01-01 | |
| 13 |
 | Gerig, Guido | Topology preserving atlas construction from shape data without correspondence using sparse parameters | Statistical analysis of shapes, performed by constructing an atlas composed of an average model of shapes within a population and associated deformation maps, is a fundamental aspect of medical imaging studies. Usual methods for constructing a shape atlas require point correspondences across subject... | 2012-01-01 | |
| 14 |
 | Gerig, Guido | Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data | This paper proposes an original approach for the statistical analysis of longitudinal shape data. The proposed method allows the characterization of typical growth patterns and subject-specific shape changes in repeated time-series observations of several subjects. This can be seen as the extension ... | 2013-01-01 |
1 - 25 of 14