A METHOD FOR CEREBRAL VESSEL CALCIFICATION DETECTION AND QUANTIFICATION, USING MACHINE LEARNING

A METHOD FOR CEREBRAL VESSEL CALCIFICATION DETECTION AND QUANTIFICATION, USING MACHINE LEARNING

A method for cerebral vessel calcification detection and classification includes the steps of: receiving a set of input Computed Tomography (CT) images representing consecutive slices of a 3D volume of cerebral vessels; performing a region of interest regression to determine a ROI within the input C...

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Bibliographische Detailangaben
Hauptverfasser: SIEMIONOW, Kris B, LEWICKI, Paul
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Beschreibung
Zusammenfassung:A method for cerebral vessel calcification detection and classification includes the steps of: receiving a set of input Computed Tomography (CT) images representing consecutive slices of a 3D volume of cerebral vessels; performing a region of interest regression to determine a ROI within the input CT images that is a cuboid that contains a circle of Willis; performing calcification detection based on the ROI within the input CT images, by means of: a segmentation procedure and/or an anomaly detection procedure; and performing quantification of the predicted locations of vessel calcifications to indicate at least one of: a volume or intensity of individual calcifications.