BIMCV is a medical imaging databank in the Valencia Region of Spain that aims to transform its collection of medical images and associated clinical data into an environment for translational innovation in healthcare. It provides mass storage and high-performance computing capabilities to facilitate large-scale image processing, comparison, and validation. BIMCV houses over 5 million clinical cases per year from various medical imaging modalities. It offers open access to this imaging and clinical data to support population imaging studies and disease signature identification through data-driven projects like analyzing neurological images to improve treatment of diseases like multiple sclerosis.

1. 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 & Luis Martí-Bonmatí
delaiglesia_mar@gva.es, miglesia@cipf.es

2. • 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

3. 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

4. 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.

5. Other facilities
Single Technology Flagship Node – Population Imaging: Valencia
MEDICAL IMAGING DATA BANK (BIMCV)
Services offered by the node:
• BIMCV facility provide a multi-level and multi-ology storage
service (Vendor Neutral Archive).
• CEIB-AVS node provide Integrates computational services.
High performance computers cluster from local and European
infrastructures (Principe Felipe Research Centre & UPV-I3M
Infrastructure)
• Open access methodologies will integrate different data
types for population imaging and quantitative resources.
• Complete user training.
BIG DATA DIASEASE SIGNATURES
Evaluation summary and Final ranking:
• Requires minor improvements (Training plan, actually corrected)
• The node develop and provide access to a large database of imaging data and
corresponding clinical data records.
• Offers big-data from hospitals in the Valencia region (5 million inhabitants living
over an area of 23.255 Km2. average number of 5.3 million of clinical cases per year,
from 210 different imaging modalities)
• The access to such data and tools will be a very efficient way of advancing
population imaging studies.
• The node has ability to incorporate data from other facilities

6. Population Imaging
Cases of use with BIMCV

7. ● 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

8. Case of use 1.- 10k Project Big Data in Brain Imaging
Population Imaging
• Cortical thickness, area and volume structure compared with
the reference values

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

10. Case of use 2.- BrainGIS (Brain Geografic Information System)
Population Imaging – Data Mining

11. Case of use 3.- NeuroBIM-MS (Multiple Sclerosis)
Population Imaging
Hospital Vega Baja de Orihuela
Dr. Santiago Mola - Head of Neurology
Hospital General Universitario de Alicante
Dr. Angel Pérez - Neurologist specialist
Hospital Universitario San Juan de Alicante
PhD. Jose María Salinas - Head of Information
Technology and associate professor at the
University of Alicante
Phd. Miguel Angel Cazorla
RoVit research group manager

12. 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.
Dr. Julio Domenech Fernandez
•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.