National audienceWe present our vision to implement a big medical imaging platform to improve medical diagnosis. We aim to link multi-scale and multimodal images through open data and ontologies to discover new correlations and scientific knowledges. The platform is based on CIRRUS, a Sorbonne-Paris-Cité private cloud for research

Benbernou, Salima

Bentounsi, Mehdi

Bourdoncle, Pierre

Lebbah, Mustapha

Ouziri, Mourad

Sahri, Soror

HAL Descartes

Towards Big Data in Medical Imaging
Salima Benbernou, Mehdi Bentounsi, Pierre Bourdoncle, Mustapha Lebbah,
Mourad Ouziri, Soror Sahri
To cite this version:
Salima Benbernou, Mehdi Bentounsi, Pierre Bourdoncle, Mustapha Lebbah, Mourad Ouziri, et
al.. Towards Big Data in Medical Imaging. Symposium IDV - Imageries du Vivant, Jan 2016,
Cap Hornu, France. <hal-01259590>
HAL Id: hal-01259590
https://hal.archives-ouvertes.fr/hal-01259590
Submitted on 29 Jan 2016
HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers.
L’archive ouverte pluridisciplinaire HAL, est
destine´e au de´poˆt et a` la diffusion de documents
scientifiques de niveau recherche, publie´s ou non,
e´manant des e´tablissements d’enseignement et de
recherche franc¸ais ou e´trangers, des laboratoires
publics ou prive´s.
Towards Big Data in Medical Imaging 
Salima Benbernou1, Mehdi Bentounsi1*, Pierre Bourdoncle2, Mustapha Lebbah3, Mourad Ouziri1, and Soror Sahri1 
* mehdi.bentounsi@parisdescartes.fr 
(1)diNo research group, LIPADE, Université Paris Descartes, Sorbonne Paris Cité 
(2)Plateforme Cochin-Imagerie, Institut Cochin  
(3)LIPN, Université Paris 13, Sorbonne Paris Cité 
AA	  AA	  AA	  AA	  
Confocal	  Microscopy	   Western	  Blot	   Immunohistochemistry	  Immunoﬂuorescence	  
IMAGE	  ANALYSIS	  
LOCAL	  DATA	  ANALYSIS	  
CORRELATION	  OF	  RESULTS	  
Diagnosis	   Scien<ﬁc	  knowledge	  
AA	  AA	  AA	  
A
A	  
MRI	   X-­‐Ray	   Ultrasound	  PET	  
IMAGE	  ANALYSIS	  
LOCAL	  DATA	  ANALYSIS	  
CORRELATION	  OF	  RESULTS	  
Diagnosis	   Scien<ﬁc	  knowledge	  
Objectives 
PACS	  Local	  DB	  A
rc
hi
vi
ng
	   Archiving	  
Cell	  Imaging	  PlaJorm	   Department	  of	  Radiology	  
•  No	  data	  exchange.	  
•  No	  data	  enrichment.	  
•  No	  data	  reuse.	  	  
Pa<ents	  
•  Unimodal	  data	  analysis.	  
•  Monoscale	  data	  analysis.	  	  
CUMULUS MAGI 2 S-CAPAD 
SPC Cloud and HPC infrastructures : CIRRUS 
IM
AGE	  AN
ALYSIS	  
Open Data Pa<ents	  
NoSQL 
LIN
KED	  O
PEN
	  DATA	  
Persistent medical imaging archiving 
Inter/intra-department medical imaging  exchange 
Semantic medical imaging enrichment 
Medical imaging reuse 
Global data analysis 
Scientific Knowledge sharing 
Multimodal medical imaging analysis 
Multiscale medical imaging analysis 
RDF-ization of medical imaging 
Diagnosis improvement 
Discover new correlations 
Health	  professionals	  and	  scien<sts	  
IDV Virtual Datacenter 
Background 
Linking medical imaging 


Towards Big Data in Medical Imaging

HAL-Paris 13

Towards Big Data in Medical ImagingSalima Benbernou, Mehdi Bentounsi, Pierre Bourdoncle, Mustapha Lebbah,Mourad Ouziri, Soror SahriTo cite this version:Salima Benbernou, Mehdi Bentounsi, Pierre Bourdoncle, Mustapha Lebbah, Mourad Ouziri, etal.. Towards Big Data in Medical Imaging. Symposium IDV - Imageries du Vivant, Jan 2016,Cap Hornu, France. <hal-01259590>HAL Id: hal-01259590https://hal.archives-ouvertes.fr/hal-01259590Submitted on 29 Jan 2016HAL is a multi-disciplinary open accessarchive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come fromteaching and research institutions in France orabroad, or from public or private research centers.L’archive ouverte pluridisciplinaire HAL, estdestine´e au de´poˆt et a` la diffusion de documentsscientifiques de niveau recherche, publie´s ou non,e´manant des e´tablissements d’enseignement et derecherche franc¸ais ou e´trangers, des laboratoirespublics ou prive´s.Towards Big Data in Medical Imaging Salima Benbernou1, Mehdi Bentounsi1*, Pierre Bourdoncle2, Mustapha Lebbah3, Mourad Ouziri1, and Soror Sahri1 * mehdi.bentounsi@parisdescartes.fr (1)diNo research group, LIPADE, Université Paris Descartes, Sorbonne Paris Cité (2)Plateforme Cochin-Imagerie, Institut Cochin  (3)LIPN, Université Paris 13, Sorbonne Paris Cité AA	  AA	  AA	  AA	  Confocal	  Microscopy	   Western	  Blot	   Immunohistochemistry	  Immunoﬂuorescence	  IMAGE	  ANALYSIS	  LOCAL	  DATA	  ANALYSIS	  CORRELATION	  OF	  RESULTS	  Diagnosis	   Scien<ﬁc	  knowledge	  AA	  AA	  AA	  AA	  MRI	   X-­‐Ray	   Ultrasound	  PET	  IMAGE	  ANALYSIS	  LOCAL	  DATA	  ANALYSIS	  CORRELATION	  OF	  RESULTS	  Diagnosis	   Scien<ﬁc	  knowledge	  Objectives PACS	  Local	  DB	  Archiving	   Archiving	  Cell	  Imaging	  PlaJorm	   Department	  of	  Radiology	  •  No	  data	  exchange.	  •  No	  data	  enrichment.	  •  No	  data	  reuse.	  	  Pa<ents	  •  Unimodal	  data	  analysis.	  •  Monoscale	  data	  analysis.	  	  CUMULUS MAGI 2 S-CAPAD SPC Cloud and HPC infrastructures : CIRRUS IMAGE	  ANALYSIS	  Open Data Pa<ents	  NoSQL LINKED	  OPEN	  DATA	  Persistent medical imaging archiving Inter/intra-department medical imaging  exchange Semantic medical imaging enrichment Medical imaging reuse Global data analysis Scientific Knowledge sharing Multimodal medical imaging analysis Multiscale medical imaging analysis RDF-ization of medical imaging Diagnosis improvement Discover new correlations Health	  professionals	  and	  scien<sts	  IDV Virtual Datacenter Background Linking medical imaging 

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Towards Big Data in Medical Imaging

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