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:
May. 04, 2021
Filed:
Jun. 09, 2015
Koninklijke Philips N.v., Eindhoven, NL;
Christian Buerger, Hamburg, DE;
Irina Waechter-Stehle, Hamburg, DE;
Frank Michael Weber, Hamburg, DE;
Koninklijke Philips N.V., Eindhoven, NL;
Abstract
The present invention relates to a medical image processing device (), comprising: —a receiving unit () for receiving a first and a second medical image () of an anatomical object of interest (), wherein each of the first and the second medical images () comprises a different field of view of the anatomical object of interest (), and wherein the first medical image and the second medical image () show a same or similar anatomical state of the anatomical object of interest (); —a registration unit () that is configured to determine a transformation from an image space of the second medical image () to an image space of the first medical image (); —a transformation unit () that is configured to transform the second medical image () into the image space of the first medical image () based on said transformation in order to receive a transformed second medical image ('); and —a segmentation unit () that is configured to perform an overall segmentation that makes use of both the first medical image () and the transformed second medical image (′) without fusing the first medical image () and the transformed second medical image (′), wherein one and the same segmentation model () is simultaneously adapted to both the first medical image () and the transformed second medical image (′) by identifying a first set of feature points () of the anatomical object of interest () within the first medical image (), by identifying a second set of feature points () of the anatomical object of interest () within the transformed second medical image (′), and by adapting the segmentation model () to both the first and the second set of feature points ().