Siemens Healthcare Gmbh

Siemens Medical Solutions Usa, Inc.

Siemens Healthineers Ag

Tobias Heimann

Terrence Chen

Shanhui Sun

Rui Liao

Shun P Miao

Birgi Tamersoy

Arnaud Arindra Adiyoso

Wilko Gerwin Wilkening

Martin Kraus

Andre Aichert

Marvin Teichmann

Kristof Ralovich

André Aichert

Various example embodiments pertain to processing images that depict tissue samples using a neural network algorithm. The neural network algorithm includes multiple encoder branches that are copies of each other that share the same parameters. The encoder branches can, accordingly, be referred to as Siamese copies of each other.

Digital pathology using an artificial neural network

A volume of interest is ultrasonically imaged. An object of interest is automatically located from a volume scan. In one approach, a geometric bounding box surrounding the object is found by a classifier. In another approach, an option for zooming to the object is indicated to the user. A scan region is defined around the object or the bounding box automatically, whether in response to user selection of the option or not. The scan region is shaped based on the ultrasound scan format, but is smaller than the volume. The volume of interest defined by the scan region is used to generate images with a greater temporal and/or spatial resolution than scanning of the entire original volume.

Three-dimensional volume of interest in ultrasound imaging

A probe pose is detected in fluoroscopy medical imaging. The pose of the probe through a sequence of fluoroscopic images is detected. The detection relies on an inference framework for visual tracking overtime. By applying visual tracking, the pose through the sequence is consistent or the pose at one time guides the detection of the probe at another time. Single frame drop-out of detection may be avoided. Verification using detection of the tip of the probe and/or weighting of possible detections by separate detection of markers on the probe may further improve the accuracy.

Tracking for detection of TEE probe in fluoroscopy medical imaging

Growing community of inventors

Erlangen, Germany

Tobias Heimann