Abstract: Example methods, apparatus and articles of manufacture to form a wavelet representation of a pathology slide having glass and tissue regions are disclosed. A disclosed example method includes capturing a digital image of a pathology slide, identifying a portion of the digital image that represents a glass portion of the slide, and storing a value representing that the wavelet coefficients for the identified glass portion of the slide are unused without computing a wavelet transform for the identified glass portion.

Abstract: Example methods, apparatus and articles of manufacture to form a wavelet representation of a pathology slide having glass and tissue regions are disclosed. A disclosed example method includes capturing a digital image of a pathology slide, identifying a portion of the digital image that represents a glass portion of the slide, and storing a value representing that the wavelet coefficients for the identified glass portion of the slide are unused without computing a wavelet transform for the identified glass portion.

Abstract: A method including receiving data corresponding to an original three-dimensional (3D) reconstructed image, smoothing homogenous areas and enhancing edges of the original reconstructed image using edge enhancing diffusion (EED) to create edge-enhanced image data, and calculating a structural importance map. The structural importance map includes a measure of structural importance for each voxel of data in the original reconstructed image. Voxel intensities to be used to create a filtered image are determined according to at least one rule applied to the measure of structural importance.

Abstract: Computerized systems and methods provide occlusion culling for efficiently rendering a three dimensional image. The systems and methods calculate a set of occluder shields in a voxel dataset using a transparency value associated with each voxel of the dataset. Next, the occluder shields are applied to the dataset to identify regions of the voxel data that do not contribute to the final image. Finally, the voxel data set can be rendered, excluding regions that do not contribute to the final image.

Abstract: A method including receiving data corresponding to an original three-dimensional (3D) reconstructed image, smoothing homogenous areas and enhancing edges of the original reconstructed image using edge enhancing diffusion (EED) to create edge-enhanced image data, and calculating a structural importance map. The structural importance map includes a measure of structural importance for each voxel of data in the original reconstructed image. Voxel intensities to be used to create a filtered image are determined according to at least one rule applied to the measure of structural importance.

Abstract: Computerized systems and methods provide occlusion culling for efficiently rendering a three dimensional image. The systems and methods calculate a set of occluder shields in a voxel dataset using a transparency value associated with each voxel of the dataset. Next, the occluder shields are applied to the dataset to identify regions of the voxel data that do not contribute to the final image. Finally, the voxel data set can be rendered, excluding regions that do not contribute to the final image.

Abstract: Computerized systems and methods provide occlusion culling for efficiently rendering a three dimensional image. The systems and methods calculate a set of occluder shields in a voxel dataset using a transparency value associated with each voxel of the dataset. Next, the occluder shields are applied to the dataset to identify regions of the voxel data that do not contribute to the final image. Finally, the voxel data set can be rendered, excluding regions that do not contribute to the final image.

Abstract: This document describes systems and methods for, among other things, visualizing 3D volumetric data comprising voxels using different segmentation regions. A segmentation mask vector is associated with each voxel, which defines to which segmentation region that voxel belongs. During the visualization, segmentation masks are interpolated to obtain a vector of segmentation mask weights. For each sample point, a vector of visualization values is multiplied by a vector of segmentation mask weights to produce a composite fragment value. The fragment values are combined into pixel values using compositing. The systems and methods leverage the computational efficiency of commodity programmable video cards to determine accurately subsampled partial contribution weights of multiple segmented data regions to allow correct per-fragment combination of segment specific characteristics such as color and opacity, which is suitable for many applications, including volume rendering.

Abstract: Computerized systems and methods provide occlusion culling for efficiently rendering a three dimensional image. The systems and methods calculate a set of occluder shields in a voxel dataset using a transparency value associated with each voxel of the dataset. Next, the occluder shields are applied to the dataset to identify regions of the voxel data that do not contribute to the final image. Finally, the voxel data set can be rendered, excluding regions that do not contribute to the final image.