The integrated Brain-Vessel Imaging Big Database
and the Open Imaging Data-warehouse Platform

Research Period

July 1, 2020 – December 31, 2024 (54 months)

Research overview

This research project develops standardized brain-vessel analysis algorithm to build large brain research database. The development progresses to purpose vessel characteristics investigation based on AI and multimodal brain imaging analysis, ultimately leading to cerebrovascular disease research and therapeutics centered open platform.

The stages include data standardization to organize an integrated cerebrovascular database, open-source platform construction, online and offline AI software with validation to approach cerebrovascular diseases, multi-institutional and multimodal imaging database diversely, and open data warehouse construction.

Throughout the course of derivative intellectual property and technology transfer for nation-wide medical industry competitiveness enhancement, pioneering in cerebrovascular research with publicizing database, and multidisciplinary expansion, we can tangibly expect the proposal of clinical database standard and subordinate system assistant to diagnosis in emergent medicine field.

R&D purpose

- Based on the brain-vascular image analysis technology and image database obtained in previous studies, the purpose is to build an extensive database (Brain-Vascular Imaging Database, Integrated Brain-Vascular Imaging Database: IBVI DB), including cerebrovascular images and multimodal MRI, primary brain images, and secondary data images, targeting disease-free healthy people and people with cerebrovascular disease.

- We plan to expand the database to multi-institute and multimodal images to build integrated brain-vascular imaging big data.

- We develop an open platform for utilizing and expanding the integrated brain-vessel imaging database and streamline it into an image data warehouse that can manage, analyze, and provide results.

- Various preprocessing technologies were used to build the integrated brain-vascular imaging database and multiple algorithms to analyze the constructed data and present the results.

- Identification of novel imaging biomarkers leveraging large imaging database construction.

Description of research & development

Cerebrovascular convergence database construction (2020 ~ 2021)

- Landscape inspection, DB architecture design, cohort selection, brain imaging data, and metadata collection, and additional informatization dedicated to Integrated Brain-Vascular Imaging Database (IBVI DB)

- Automatization and optimization of preprocessing procedures of secondary cerebrovascular data generation and deep learning-based additional analysis algorithm development for DB standardization

- Collection of cerebrovascular imaging data and metadata accompanying secondary imaging data extraction targeted to selected cohorts

- IBVI DB construction via generating cerebrovascular imaging data from an ultimately built imaging database.

- To progress on stage 2, multi-institutional research, novel biomarker identification using IBVI DB, and open platform architecture design are necessary.

Establishment of open imaging data warehouse platform (2022 ~ 2024)

- We initialize multi-institutional research for institution-wise database establishment dedicated to IBVI DB expansion.

- Expandable database development accompanying multimodal imaging

- Developing a web-based platform to manage and employ IBVI DB leads to application.

- Multi-institutional database, automatized preprocessing procedures design, and secondary data extraction algorithm development for multimodal imaging assisted database expansion

- Application of expanded IBVI DB to open platform

- Imaging biomarker identification and clinical utility validation using AI and available IBVI DB.

- Analysis framework development and application to intensify utility of IBVI DB

- Open imaging data warehouse development for management, extraction, conversion, and analysis of multi-institutional expandable database