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International Journal of Computer Assisted Radiology and Surgery

Published in:

01-02-2016 | Original Article

Pattern recognition for cache management in distributed medical imaging environments

Authors: Carlos Viana-Ferreira, Luís Ribeiro, Sérgio Matos, Carlos Costa

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 2/2016

Abstract

Purpose

Traditionally, medical imaging repositories have been supported by indoor infrastructures with huge operational costs. This paradigm is changing thanks to cloud outsourcing which not only brings technological advantages but also facilitates inter-institutional workflows. However, communication latency is one main problem in this kind of approaches, since we are dealing with tremendous volumes of data. To minimize the impact of this issue, cache and prefetching are commonly used. The effectiveness of these mechanisms is highly dependent on their capability of accurately selecting the objects that will be needed soon.

Methods

This paper describes a pattern recognition system based on artificial neural networks with incremental learning to evaluate, from a set of usage pattern, which one fits the user behavior at a given time. The accuracy of the pattern recognition model in distinct training conditions was also evaluated.

Results

The solution was tested with a real-world dataset and a synthesized dataset, showing that incremental learning is advantageous. Even with very immature initial models, trained with just 1 week of data samples, the overall accuracy was very similar to the value obtained when using 75 % of the long-term data for training the models. Preliminary results demonstrate an effective reduction in communication latency when using the proposed solution to feed a prefetching mechanism.

Conclusions

The proposed approach is very interesting for cache replacement and prefetching policies due to the good results obtained since the first deployment moments.

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Title: Pattern recognition for cache management in distributed medical imaging environments
Authors: Carlos Viana-Ferreira
Luís Ribeiro
Sérgio Matos
Carlos Costa
Publication date: 01-02-2016
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 2/2016
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1272-4

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Pattern recognition for cache management in distributed medical imaging environments

Abstract

Purpose

Methods

Results

Conclusions

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusions

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