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-Bonmatídelaiglesia_mar@gva.es, miglesia@cipf.es

• 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

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.

Other facilities

Single Technology Flagship Node – Population Imaging: ValenciaMEDICAL 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

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, area and volume structure compared with the reference values

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

Population Imaging

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

Population Imaging – Data Mining

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 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.