The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 04, 2017
Filed:
Jul. 26, 2013
Brainlab Ag, Feldkirchen, DE;
Jens Keuchel, Poing, DE;
Daniel Modrow, Ottobrunn, DE;
Brainlab AG, Munich, DE;
Abstract
The invention relates to a medical data processing method of segmenting image features in medical images generated with different imaging modalities, wherein the image features represent a corresponding anatomical structure in each of the medical images, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (SI) first modality medical image data describing a first modality medical image containing a first modality image representation of the anatomical structure; b) acquiring (SI) second modality medical image data describing a second modality medical image containing a second modality image representation of the anatomical structure; c) determining, based on the first modality medical image data and the second modality medical image data, modality transformation data describing a mapping transformation between the image information in the first modality image data and the image information in the second modality image data; d) acquiring color value data describing a color value of the image elements in the first modality medical image and in the second modality medical image; e) determining (S-S), based on the first modality medical image data, first modality segmentation data describing the result of segmenting the first modality image representation from the first modality medical image data; f) determining (S-S), based on the first modality segmentation data and the modality transformation data and the color value data, second modality segmentation data describing a result of segmenting the second modality image representation from the second modality medical image data.