Identification method based on connectivity profiles

US9740946B2 · kind B2 · utility

Assignee

• Brainlab AG · DE

Inventors

• Bálint Varkuti · Munich, DE
• Rainer Lachner · Munich, DE

Key dates

• Filing date: Jul 8, 2013
• Grant date: Aug 22, 2017
• Expiry date: Sep 14, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V40/14
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The present invention relates to a medical data processing method for identifying an entity of the nervous system, in particular the brain, of a patient, wherein the method is designed to be executed by a computer and comprises the following steps: a) acquiring target connectivity data comprising target connectivity information about the probability of a target entity being connected to other entities of the nervous system; b) acquiring candidate connectivity data comprising candidate connectivity information about the probability of at least one candidate entity being connected to other entities of the nervous system; and c) determining similarity data for each of the at least one candidate entities on the basis of the candidate connectivity data and the target connectivity data, wherein the similarity data comprise similarity information about the similarity between the candidate entity and the target entity.