Abstract
The object of this study was to develop and implement a fast and interactive tool for the visualization and analysis of 4D (3D+time) medical data on conventional computers and designed for a clinical environment where speed and simplicity are no secondary factor to accuracy. The tool was developed utilizing different programming languages to exploit the best characteristics from each and taking into account portability, integration, modularity, efficiency, computational speed, and graphical capabilities of the software. The quantification algorithms we implemented for the data analysis and for the estimation of quantitative parameters are based on partial differential equations and level set models. The result was a user-friendly, fast and easy-to-use tool that provides reliable and consistent 3D and dynamic data visualization and quantitative functionality parameters extraction without expensive workstation or dedicated hardware. Therefore, it potentially represents a novel tool to be used for visualization and processing of complex anatomies, acquired with different imaging systems, in clinical practice.
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