Paper Info
Title
Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data
Abstract
Abstract Objective. We have created an open-source application and framework for rapid GPU-accelerated prototyping, targeting image analysis, including volumetric images such as CT or MRI data. Methods. A visual graph editor enables the design of processing pipelines without programming. Run-time compiled compute shaders enable prototyping of complex operations in a matter of minutes. Results. GPU-acceleration increases processing the speed by at least an order of magnitude when compared to traditional multithreaded CPU-based implementations, while offering the flexibility of scripted implementations. Conclusion. Our framework enables real-time, intuition-guided accelerated algorithm and method development, supported by built-in scriptable visualization. Significance. This is, to our knowledge, the first tool for medical data analysis that provides both high performance and rapid prototyping. As such, it has the potential to act as a force multiplier for further research, enabling handling of high-resolution datasets while providing quasi-instant feedback and visualization of results.
Year
DOI
Venue
2018
10.1155/2018/2046269
Periodicals
Field
DocType
Volume
Rapid prototyping,Computer vision,Graph,Computer architecture,Computer science,Visualization,Implementation,Multiplier (economics),Artificial intelligence,Shader,Computation
Journal
2018
Issue
ISSN
Citations 
1
1687-4188
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Maximilian Malek1241.83
Christoph W. Sensen2978.25