Siemens Aktiengesellschaft

Herve Lombaert

Chenyang Xu

Yiyong Sun

Leo John Grady

Norbert Rahn

Scott Bradley Baker

Matthias John

A multilevel image segmentation technique using graph cuts is disclosed. A reduced resolution image is generated from a full resolution image which is to be segmented. The reduced resolution image is then segmented in order to identify a boundary between an object and a background within the image. The identified boundary then identifies a portion of an increased resolution image which is segmented in order to refine the earlier identified boundary. The steps may be iterated for successively increasing image resolutions in order to refine the boundary as required by a particular application. An initial identification of object and background portions of the image may be provided as input by a user. Alternatively, a user may identify only the object portion, and the background portion may be automatically determined.

Multilevel image segmentation

An intuitive user interface is provided for endoscopic view visualization. The user interface may permit individual or simultaneous navigation through images displayed in an endoscopic view window, a three dimensional overview window, and a multi-planar reformatted window. An operation performed directly on one of the windows may commence the navigation. The endoscopic view window may be divided into a plurality of sub-regions, each sub-region having a corresponding navigation function. The endoscopic view window and the three dimensional overview window may have corresponding icons related to a single location in corresponding images being displayed. The corresponding icons may be color coded to facilitate intuitive alignment of the corresponding images displayed in the different windows. The three dimensional overview window may have a geometric icon to facilitate intuitive alignment of the corresponding images. The multi-planar reformatted window may permit spherical navigation through the images displayed.

Intuitive user interface for endoscopic view visualization

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Montreal, Canada

Herve Lombaert