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公开(公告)号:US20180018790A1
公开(公告)日:2018-01-18
申请号:US15508794
申请日:2014-09-16
Applicant: Brainlab AG
Inventor: Rainer LACHNER , Balint VARKUTI
CPC classification number: G06T7/75 , A61B5/0042 , A61B5/055 , A61B5/4064 , A61B2576/026 , G01R33/4806 , G06T7/0014 , G06T7/11 , G06T7/143 , G06T7/149 , G06T7/251 , G06T7/60 , G06T2207/10092 , G06T2207/20076 , G06T2207/20128 , G06T2207/20156 , G06T2207/20221 , G06T2207/30016 , G06T2207/30024 , G06T2207/30241 , G06T2210/41
Abstract: 1. A medical data processing method of determining information describing the probable position of a neural fibre in a patient's brain, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring patient-specific medical image data describing the brain of the patient; b) acquiring atlas data defining an image-based model of a human brain; c) determining, based on the patient-specific medical image data and the atlas data, seed region data describing seed regions (A, B) in the patient-specific medical image data in which the ends of neural fibres of the patient's brain may be located; d) determining, based on the patient-specific medical image data and the seed region data, neural fibre tract data describing a plurality of potential tracts (T1, T2, T3) which a specific neural fibre may take through the patient's brain; e) determining, based on the atlas data and the neural fibre tract data, a figure of merit for each one of the potential tracts (T1, T2, T3).
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公开(公告)号:US20180108148A1
公开(公告)日:2018-04-19
申请号:US15533307
申请日:2016-02-25
Applicant: Brainlab AG
Inventor: Rainer LACHNER , Mona FROMMERT
CPC classification number: G06T7/74 , G06T5/009 , G06T7/90 , G06T2207/10024 , G06T2207/10088 , G06T2207/20036 , G06T2207/20208 , G06T2207/20221 , G06T2207/30016
Abstract: Disclosed is a method for determining a position of a brain sulcus in the brain of a patient, the method comprising executing, on at least one processor of at least one computer, steps of: acquiring, at the at least one processor, patient image data describing a digital medical image of at least part of the brain; acquiring, at the at least one processor, atlas data describing an image-based model of the at least part of the brain; determining, by the at least one processor and based on the patient image data and the atlas data, mapping data describing a transformation between the patient image data and the atlas data; and determining, by the at least one processor and based on the patient image data and the atlas data and the mapping data, sulcus position data describing the position of the brain sulcus in the digital medical image.
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