UW-SIG Publications
(265 recursos)
Subject based institutional repository for materials produced or associated with this structural biological computing research group. Not all items are available as full text, and are only displayed as bibliographic entries on the site. In addition to the search and browse functions conference papers are highlighted for the years 1998-2004.
Mostrando recursos 1 - 7 de 7
1.
Evaluating Spatial Normalization Methods for the Human Brain - Smith, Veronica S
Cortical stimulation mapping (CSM) studies have shown cortical locations for language function are highly variable from one subject to the next. Because no two cortical surfaces are alike and language is a higher order cognitive function, observed variability is attributable to a combination of functional and anatomical variation. If individual variation can be normalized, patterns of language organization may emerge that were heretofore hidden. In order to discover whether or not such patterns exist, computer-aided spatial normalization is required. Because CSM data has been collected on the cortical surface, we believe that a surface-based normalization method will provide more accurate...
2.
Classification of functional brain data for multimedia retrieval - Cho, Hansang
This study introduces new signal processing methods for extracting meaningful information from brain signals (functional magnetic resonance imaging and single unit recording) and proposes a content-based retrieval system for functional brain data. First, a new method that combines maximal overlapped discrete wavelet transforms (MODWT) and dynamic time warping (DTW) is presented as a solution for dynamically detecting the hemodynamic response from fMRI data. Second, a new method for neuron spike sorting is presented that uses the maximal overlap discrete wavelet transform and rotated principal component analysis. Third, a procedure to characterize firing patterns of neuron spikes from the human brain,...
3.
A performant XQuery to SQL translator - Re, Chris; Brinkley, James; Suciu, Dan
We describe a largely complete and efficient XQuery to SQL translation for XML publishing. Our translation supports the entire XQuery language, except for functions, if statements and upwards navigation axes. The system has three important properties. First, it preserves the correct XQuery semantics. This is accomplished by first translating XQuery into core-XQuery, using a complete XQuery implementation, Galax. Second, we optimize the resulting SQL queries. We develop a comprehensive framework for optimizing the XQuery to SQL translation, which is effective for a wide range of XQuery workloads. Third, our translation is platform independent. Our system achieves high degree of efficiency...
4.
Spatial-Symbolic Query Engine in Anatomy - Puget, Antoine
To date there is a lack of a query processor that can access and manage spatial anatomical
knowledge for use in anatomy education and clinical practice. Such knowledge can derive from labeled
2D images that a spatial query processor can build into 3D models which can be reasoned with for
spatial information. In this case, the thorax is used as proof of concept. The processor can answer
questions like: 'Which structures are anterior to the heart?', thanks to spatial relations (e.g. anterior)
provided and defined by an anatomist and integrated into the system. A spatial-symbolic query engine is
a web...
5.
Seeing Structure: Using Knowledge to Reconstruct and Illustrate Anatomy - Hinshaw, Kevin P
Current medical imaging technology makes it possible to gather remarkably detailed three-dimensional data about an individual's anatomy. In domains ranging from education to clinical medicine, a common desire is the ability to examine selected structures from such volume datasets. This dissertation describes tools for performing the two key tasks in that process: reconstructing (or segmenting) specific structures from volume data and illustrating them in meaningful ways.
On the reconstruction side, this work offers new, in-depth analysis of two previously proposed methods for using shape knowledge to guide image segmentation. The ideas are generalized to create a 3D shape model, which is...
7.
Dynamic scene generation and software parallel rendering of anatomical structures - Albright, Evan M
This thesis discusses two related topics, a system for generating scenes of 3-D anatomical structures, and the implementation of parallel algorithms for 3-D rendering. In an educational setting, 3-D scenes help students discover relationships between various anatomical structures. In a clinical environment, physicians can use 3-D scenes to examine how anatomical structures are effected by disease or injury.
In order for a scene generation system to be usable, scenes must be rendered as fast as possible. One approach to increase rendering performance is to use parallel algorithms to take advantage of multi-processor or multi-workstation architectures.