MRI analysis for hippocampus segmentation on a distributed infrastructure

S. Tangaro, N. Amoroso, M. Antonacci, M. Boccardi, M. Bocchetta, A. Chincarini, D. Diacono, G. Donvito, R. Errico, G. B. Frisoni, T. Maggipinto, A. Monaco, F. Sensi, A. Tateo, R. Bellotti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Medical image computing raises new challenges due to the scale and the complexity of the required analyses. Medical image databases are currently available to supply clinical diagnosis. For instance, it is possible to provide diagnostic information based on an imaging biomarker comparing a single case to the reference group (controls or patients with disease). At the same time many sophisticated and computationally intensive algorithms have been implemented to extract useful information from medical images. Many applications would take great advantage by using scientific workflow technology due to its design, rapid implementation and reuse. However this technology requires a distributed computing infrastructure (such as Grid or Cloud) to be executed efficiently. One of the most used workflow manager for medical image processing is the LONI pipeline (LP), a graphical workbench developed by the Laboratory of Neuro Imaging (http://pipeline.loni.usc.edu). In this article we present a general approach to submit and monitor workflows on distributed infrastructures using LONI Pipeline, including European Grid Infrastructure (EGI) and Torque-based batch farm. In this paper we implemented a complete segmentation pipeline in brain magnetic resonance imaging (MRI). It requires time-consuming and data-intensive processing and for which reducing the computing time is crucial to meet clinical practice constraints. The developed approach is based on web services and can be used for any medical imaging application.

Original languageEnglish
Title of host publication2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391726
DOIs
Publication statusPublished - Aug 4 2016
Event11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Benevento, Italy
Duration: May 15 2016May 18 2016

Other

Other11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016
CountryItaly
CityBenevento
Period5/15/165/18/16

Fingerprint

hippocampus
Magnetic resonance
magnetic resonance
Pipelines
Imaging techniques
grids
Medical image processing
Neuroimaging
web services
reuse
biomarkers
Medical imaging
Distributed computer systems
Biomarkers
Farms
Web services
brain
image processing
torque
monitors

Keywords

  • Distribuited analysis
  • Hippocampus Segmentation
  • Loni Pipeline
  • MRI analysis
  • Workflows

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

Cite this

Tangaro, S., Amoroso, N., Antonacci, M., Boccardi, M., Bocchetta, M., Chincarini, A., ... Bellotti, R. (2016). MRI analysis for hippocampus segmentation on a distributed infrastructure. In 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings [7533716] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeMeA.2016.7533716

MRI analysis for hippocampus segmentation on a distributed infrastructure. / Tangaro, S.; Amoroso, N.; Antonacci, M.; Boccardi, M.; Bocchetta, M.; Chincarini, A.; Diacono, D.; Donvito, G.; Errico, R.; Frisoni, G. B.; Maggipinto, T.; Monaco, A.; Sensi, F.; Tateo, A.; Bellotti, R.

2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7533716.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tangaro, S, Amoroso, N, Antonacci, M, Boccardi, M, Bocchetta, M, Chincarini, A, Diacono, D, Donvito, G, Errico, R, Frisoni, GB, Maggipinto, T, Monaco, A, Sensi, F, Tateo, A & Bellotti, R 2016, MRI analysis for hippocampus segmentation on a distributed infrastructure. in 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings., 7533716, Institute of Electrical and Electronics Engineers Inc., 11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016, Benevento, Italy, 5/15/16. https://doi.org/10.1109/MeMeA.2016.7533716
Tangaro S, Amoroso N, Antonacci M, Boccardi M, Bocchetta M, Chincarini A et al. MRI analysis for hippocampus segmentation on a distributed infrastructure. In 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7533716 https://doi.org/10.1109/MeMeA.2016.7533716
Tangaro, S. ; Amoroso, N. ; Antonacci, M. ; Boccardi, M. ; Bocchetta, M. ; Chincarini, A. ; Diacono, D. ; Donvito, G. ; Errico, R. ; Frisoni, G. B. ; Maggipinto, T. ; Monaco, A. ; Sensi, F. ; Tateo, A. ; Bellotti, R. / MRI analysis for hippocampus segmentation on a distributed infrastructure. 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016.
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