Virtual Stack Processing
Virtual Stack Processing - Related Videos
06:52
The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project
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Cited by 48 •
2009
The Project on Virtual Reality Intelligent Multi-sensor System for the Treatment of Anxiety-related Disorders (INTREPID) is aimed at developing a multi-sensor context-aware virtual reality system for the treatment of anxiety-related disorders.
01:20
Virtual Work
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2023
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero. In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
10:32
Development of a Virtual Reality Assessment of Everyday Living Skills
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Cited by 25 •
2014
A challenge for proving treatment efficacy for cognitive impairments in schizophrenia is finding the optimizing measurement of skills related to everyday functioning. The Virtual Reality Functional Capacity Assessment Tool (VRFCAT) is an interactive gaming based computerized measure aimed at skills associated with everyday functioning, including baseline impairments and treatment related changes.
09:17
Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
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Cited by 10 •
2017
This paper describes the use of a desktop virtual store to create virtual shopping environments to investigate in-store consumer behavior. A description of the protocol to build and run experiments, example results from an experiment concerning store layout, and important considerations when conducting virtual store experiments are presented.
05:12
Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
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Cited by 11 •
2017
We describe a novel virtual-reality based setup which exploits voluntary control of one hand to improve motor-skill performance in the other (non-trained) hand. This is achieved by providing real-time movement-based sensory feedback as if the non-trained hand is moving. This new approach may be used to enhance rehabilitation of patients with unilateral hemiparesis.
FAQs
Alignment is the central computational correction in Virtual Stack Processing. Software places sequential two-dimensional images into a consistent spatial arrangement and corrects inconsistencies between neighboring slices. This preserves the intended relationships among features across the image sequence, allowing the reconstructed specimen or structure to be examined as a coherent three-dimensional volume rather than as disconnected images.
Pixel information from individual images is integrated into voxel information representing positions within the reconstructed volume. This conversion allows software to organize image content spatially and supports digital visualization of internal structure. Once arranged, the voxel-based representation can be analyzed for dimensions, structural relationships, and changes in engineered tissues or materials.
A virtual reconstruction permits researchers to visualize and analyze a three-dimensional specimen or engineered structure without requiring physical sectioning of the reconstructed model. This preserves a digitally organized representation in which spatial relationships remain available for inspection and measurement. The approach is therefore useful for examining complex biological geometries and tissue architecture computationally.
The workflow begins with a sequence of two-dimensional images that represent successive views of a specimen or structure. Software then orders the images, aligns their spatial content, corrects inconsistencies, and integrates the available pixel or voxel information. The resulting volume can be visualized digitally and examined through quantitative analysis of its geometry and organization.
In bioengineering, the method can be applied to tissue architecture, engineered constructs, cellular organization, and other complex biological geometries. These applications allow researchers to inspect how components are arranged within a structure rather than evaluating isolated image slices alone. The same digital volume can support visualization and measurements relevant to engineered materials or tissues.
Quantitative analysis can provide measurements of dimensions and reveal relationships among structural features within the reconstructed volume. In bioengineering studies, these observations can be used to evaluate how engineered materials or tissues change over time. The combination of three-dimensional visualization and measurement connects image reconstruction with structural assessment and longitudinal analysis.