DERIVING CONNECTIVITY DATA FROM SELECTED BRAIN DATA

Disclosed are techniques for identifying and displaying spatial relationships between a seed parcel and other parcels in a patient's brain. A method can include obtaining connectivity data characterizing, for each pair of parcels including a first parcel and a second parcel from a group of parc...

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Bibliographic Details
Main Authors Doyen, Stephane Philippe, Sin Kwok Wong, Bryan, Jiang, Xinling, Sughrue, Michael Edward
Format Patent
LanguageEnglish
Published 07.09.2023
Subjects
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
TESTING
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Summary:Disclosed are techniques for identifying and displaying spatial relationships between a seed parcel and other parcels in a patient's brain. A method can include obtaining connectivity data characterizing, for each pair of parcels including a first parcel and a second parcel from a group of parcels, a connectivity metric measuring a relationship between the first and second parcels in the patient's brain, obtaining brain atlas data, identifying a seed parcel from the group of parcels, determining one or more other parcels in the group of parcels having a connectivity metric with the seed parcel that satisfies a threshold connectivity metric condition to provide at least one seed-connected parcel, and for the seed-connected parcel, providing the brain atlas data and an indication of a degree of the connectivity metric between the seed parcel and seed-connected parcel for display as an overlay on a visualization of the brain atlas data.
Bibliography:Application Number: US202217686204