ANEURYSM@RISK: automatic intracranial aneurysm quantification, 4D flow MRI and feature learning modelling to optimize intracranial aneurysm rupture prediction.

We aim to improve rupture risk prediction by technical innovations 1) enabling automatic assessment of the UIA shape (including size), 2) determining the effect of the bloodflow on the UIA, and 3) by using machine learning methods (feature learning) to make predictions for rupture based on automatically learned aneurysm characteristics.

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Titel ANEURYSM@RISK: automatic intracranial aneurysm quantification, 4D flow MRI and feature learning modelling to optimize intracranial aneurysm rupture prediction.
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We aim to improve rupture risk prediction by technical innovations 1) enabling automatic assessment of the UIA shape (including size), 2) determining the effect of the bloodflow on the UIA, and 3) by using machine learning methods (feature learning) to make predictions for rupture based on automatically learned aneurysm characteristics.
Keywords
Contact points
Contact point 1
URI
Naam
DCVA
Name (translations)
Email
info@dcvalliance.nl
Identifier
URL
  1. https://www.dcvalliance.nl/
Publisher
Publisher 1
URI
Naam
Dutch Cardiovascular Alliance (DCVA)
Name (translations)
Email
info@dcvalliance.nl
URL
https://www.dcvalliance.nl/
Type
Publisher note
Publisher type
Identifier
DCVA
Creator
Creator 1
URI
Naam
Dutch Cardiovascular Alliance (DCVA)
Name (translations)
Email
info@dcvalliance.nl
URL
https://www.dcvalliance.nl/
Type
Publisher note
Publisher type
Identifier
DCVA
Landing page
Release date 2018-06-01T00:00:00+00:00
Modification date
In Series
    Versie
    Version notes
    Identifier DCVA-036
    Frequency
    Provenance
    Type
    Temporal coverage
    Temporal coverage 1
    Start
    2018-06-01T00:00:00+00:00
    End
    2021-06-01T00:00:00+00:00
    Temporal resolution
    Spatial coverage
    Spatial coverage 1
    URI
    http://publications.europa.eu/resource/authority/country/NLD
    Label
    Geometry
    Bounding Box
    Centroid
    Spatial resolution in meters
    Access rights http://publications.europa.eu/resource/authority/access-right/RESTRICTED
    Other identifier
    Theme
    1. http://publications.europa.eu/resource/authority/data-theme/HEAL
    Taal
    1. http://id.loc.gov/vocabulary/iso639-1/en
    Documentation
    Conforms to
    Is referenced by
    Distribution
    Sample
    Analytics
    Applicable legislation
    1. http://data.europa.eu/eli/reg/2025/327/oj
    Has version
    Code values
    Coding system
    Purpose
    Health category
    Health theme
    Legal basis
    Minimum typical age 19
    Maximum typical age 80
    Number of records
    Number of records for unique individuals. 200
    Personal data
    Publisher note
    Publisher type
    Trusted Data Holder
    Population coverage

    collection type: Cohort,Disease specific,Image collection | disease: Other cerebrovascular diseases - Cerebral aneurysm, nonruptured | data categories: Imaging data | materials: Not available | omics: Other | imaging: Y | sex: Female,Male
    Retention period
    Health data access body
    Qualified relation
    Provenance activity
    Qualified attribution
    Attribution 1
    Agent
    Agent 1
    URI
    Naam
    Dutch Cardiovascular Alliance (DCVA)
    Name (translations)
    Email
    info@dcvalliance.nl
    URL
    https://www.dcvalliance.nl/
    Homepage
    Type
    Identifier
    DCVA
    Rol
    Quality annotations
    URI https://fdp.heart-institute.nl/dataset/2e486ffb-1aa8-401c-858a-5af4d01162b1