Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number2046269
Number of pages9
JournalInternational journal of biomedical imaging
Volume2018
DOIs
Publication statusPublished - 2018

Keywords

  • Journal Article

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Biology
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)

Fields of Expertise

  • Human- & Biotechnology
  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

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