Cargando…
Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data
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 co...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008673/ https://www.ncbi.nlm.nih.gov/pubmed/29971095 http://dx.doi.org/10.1155/2018/2046269 |
_version_ | 1783333226444488704 |
---|---|
author | Malek, Maximilian Sensen, Christoph W. |
author_facet | Malek, Maximilian Sensen, Christoph W. |
author_sort | Malek, Maximilian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6008673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-60086732018-07-03 Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data Malek, Maximilian Sensen, Christoph W. Int J Biomed Imaging Research Article 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. Hindawi 2018-06-03 /pmc/articles/PMC6008673/ /pubmed/29971095 http://dx.doi.org/10.1155/2018/2046269 Text en Copyright © 2018 Maximilian Malek and Christoph W. Sensen. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Malek, Maximilian Sensen, Christoph W. Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data |
title | Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data |
title_full | Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data |
title_fullStr | Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data |
title_full_unstemmed | Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data |
title_short | Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data |
title_sort | instant feedback rapid prototyping for gpu-accelerated computation, manipulation, and visualization of multidimensional data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008673/ https://www.ncbi.nlm.nih.gov/pubmed/29971095 http://dx.doi.org/10.1155/2018/2046269 |
work_keys_str_mv | AT malekmaximilian instantfeedbackrapidprototypingforgpuacceleratedcomputationmanipulationandvisualizationofmultidimensionaldata AT sensenchristophw instantfeedbackrapidprototypingforgpuacceleratedcomputationmanipulationandvisualizationofmultidimensionaldata |