Brazil, the Landscapes of the mind

BIMCV Medical Imaging Databank of the Valencia Region

Synergy between data in population medical imaging, computer aided diagnosis and augmented reality

María de la Iglesia-Vayá, PhD.delaiglesia_mar@gva.es, miglesia@cipf.es

Imaging Biobanks. BIMCV. Euro-Bioimaging. Population Imaging. Cases of use. Acknowledgement.

Outline

• Biobanks Repositories of biological samples.• Emerged as a fundamental tool for clinical research and innovation in

genomics and personalized medicine through quality control issues for sample collections, standardized pathways for extraction and sophisticated protocols for data protection.

• More recently, virtual biobanks, as repositories of digital information, have increased the opportunities for sharing, federating and exploiting biobank’s data.

Imaging Biobanks

Imaging Biobanks• Generate a structured and fully anonymized information,

including medical images and relevant clinical and associated biological data and/or samples.

‒ Standard data formats and annotation through ontologies.‒ Dissociated data will allow traceability of cases in unexpected findings. ‒ Verified quality of the data.

• An infrastructure with massive storage and computing capacity.‒ Large data samples involve establishing case scenarios and determine the

universalization of the results.‒ High performance computing resources to facilitate image processing comparison,

standardization and validation.‒ Integrate resources and services through a platform managing information flow and

image processing and extraction‒ Provide support to users for its utilization.

Imaging Biobanks

BIMCV Medical Imaging Databank of the Valencia Region

What is BIMCV ?

• BIMCV - Medical Imaging Databank of the Valencia Region …… is an infrastructure with mass storage capacity (through GIMD – Project from the Regional Ministry of Health in the Valencia Region) and high throughput computational modeling capabilities.

• Aim To transform the Medical Imaging Databank into an environment for translational innovation in healthcare interventions and management.

• BIMCV is the first initiative of its kind raised in our Spanish National Health System.

• Its structure will facilitate open translational research with a sufficiently representative sample population.

What is BIMCV ?

• BIMCV gives a clear answer to the creation of an infrastructure for large population base, with associated data acquisition, the quantitative analysis of standardized data and access to the image data.

What is BIMCV ?

• The system architecture has been developed by the Regional Ministry for Health through the Center of Excellence for Biomedical Imaging (http://ceib.san.gva.es)

What is BIMCV ?

What is BIMCV ?

Regional PACS

What is BIMCV ?

XNAT instance

General architecture of BIMCV system

Euro-Bioimaging

• BIMCV has been submitted to Euro-Bioimaging call, for

expression of interests "Population Imaging”• Future Node Platform independent experts evaluated the

scientific excellence of the proposed research skills and group activity.

http://www.eurobioimaging.eu

Euro-Bioimaging

Euro-Bioimaging

• The node develops and provides access to a large database of imaging data and the associated clinical data records.

• Big Data repository from hospitals in the Valencia region (5 million inhabitants living over an area of 23.255 Km2. average number of 5.3 million clinical cases per year, from 210 different imaging modalities).

• The access to such data and tools will be an efficient way of advancing population imaging studies and research.

• The node has ability to incorporate data from other facilities.

EVALUATION SUMMARY

Euro-Bioimaging

Population ImagingCases of use with BIMCV

● Use case based on the Neurological Images Biobank of Valencia Public Health System.

● The objective in to improve the

infrastructure, data, methodologies and algorithms to analyse and control the evolution of different neurological diseases.

● Advances in neuroimaging

postprocessing

Case of use 1.- 10k Project Big Data in Brain Imaging

Population Imaging

Case of use 1.- 10k Project Big Data in Brain Imaging

Population Imaging

• Cortical thickness and volume structure compared with the reference values

Population Imaging

Case of use 1.- 10k Project Big Data in Brain Imaging

Case of use 2.- BrainGIS (Brain Geografic Information System)

Population Imaging

Case of use 3.- NeuroBIM-MS (Multiple Sclerosis)

Population Imaging

Hospital Vega Baja de OrihuelaDr. Santiago Mola - Head of Neurology

Hospital General Universitario de AlicanteDr. Angel Pérez - Neurologist specialist

Hospital Universitario San Juan de AlicantePhD. Jose María Salinas - Head of Information

Technology and associate professor at the University of Alicante

Phd. Miguel Angel CazorlaRoVit research group manager

Case of use 3.- NeuroBIM-MS (Multiple Sclerosis)

Population Imaging

All data is stored in the GEBID-XNAT

WM/GM Atrophy StudyWM Volume Lesions ...

Case of use 3.- Augmented Reality for Visualization

Population Imaging

Parametric image by Augmented Reality from Gonzalo M. Rojas. Download from Smartphone Play Store, the Prototype for Android: ARiBraiN3T. http://www.aribrain.info

Case of use 4.- MIDAS (Massive Image Data Anatomy Spine)

Population Imaging

MIDAS is a collaborative project with the Arnau de Villanova Hospital. Traumatology Service.

•Low back pain is a prevalent disorder and a frequent cause of disability. It is associated with increased costs for the healthcare system and society in developed countries, affecting 70% of the general population at some point in their lives, with an annual incidence of 40%.

•Identifying predictors of chronicity has become a priority for researchers on lumbar pathology. Studies evaluating the presence of anatomical or structural changes in the lumbar spine by techniques such as CT, MRI or discography are not able to correlate these anomalies with a bad prognosis in low back pain.

•The concept that associates chronic pain with structural alterations should be reconsidered taking into account the recent scientific evidence.

http://www.esf.org/activities/forward-looks/medical-sciences-emrc/current-forward-looks-in-medical-sciences/personalised-medicine-for-the-european-citizen/more-information.html.

Population Imaging as part of Big Data landscape

Population Imaging as part of Big Data landscape

Acknowledgement

• Jose Miguel Puig Saques, Deputy Director General of Information Systems for Health. Regional Ministry of Health in the Valencia Region.

• Luis Martí-Bonmatí, Head of Biomedical Imaging Research Group (GIBI230) at La Fe Polytechnics and University Hospital – La Fe Health Research Institute.

• Jose María Salinas, Hospital Universitario San Juan de Alicante. Head of Information Technology and associate professor at the University of Alicante.

• Ignacio Blanquer, Institute of Instrumentation for Molecular Imaging – I3M. Universitat Politècnica de València. Biomedical Imaging Research Group (GIBI230).

• Jacobo Martínez, Coordinador de la Unidad de Plataformas y Servicios. Coordinador de la Red Valenciana de Biobancos. Director científico del Biobanco CSISP-FISABIO.

• Vicente Felipo, Head of the research Program: Neurological Impairment at Centro de Investigación Principe Felipe.

• Carlos Martinez Riera, Advisor to the Deputy Regional Minister for Industry and Energy in the Valencia Region.

• Rafael de Andrés and Timo Zimmerman, The Spanish representatives in the Euro-BioImaging Interim Board.

Acknowledgements

Jorge Isnardo Altamirano Angel Fernandez-CañadaVillata

Thank you so much to my team