Siemens Healthcare Gmbh

Siemens Aktiengesellschaft

Vincent Ordy

Li Zhang

Shaohua Kevin Zhou

David D Liu

Bernhard Geiger

Daguang Xu

Noha Youssry El-Zehiry

Chris Schwemmer

Nathan S Lay

Philipp Wolber

Dorin Comaniciu

Tommaso Mansi

Ankur Kapoor

Thomas Pheiffer

Hendrik Ditt

Heinz Fichte

Kaifang Du

Tony Nguyen

An artificial agent based cognitive operating room system and a method thereof providing automated assistance for a surgical procedure are disclosed. Data related to the surgical procedure from multiple data sources is fused based on a current context. The data includes medical images of a patient acquired using one or more medical imaging modalities. Real-time quantification of patient measurements based on the data from the multiple data sources is performed based on the current context. Short-term predictions in the surgical procedure are forecasted based on the current context, the fused data, and the real-time quantification of the patient measurements. Suggestions for next steps in the surgical procedure and relevant information in the fused data are determined based on the current context and the short-term predictions. The suggestions for the next steps and the relevant information in the fused data are presented to an operator.

System and method for artificial agent based cognitive operating rooms

A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.

Method and system for whole body bone removal and vascular visualization in medical image data

A method and system for multi-atlas segmentation brain structures and vessel territories in a brain computed tomography (CT) image is disclosed. Each of a plurality of atlas images is individually registered to an input brain CT image, resulting in a plurality of warped atlas images. A region of interest is defined based on labeled brain structures in each of the plurality of warped atlas images. For each atlas image, a respective sum of squared difference (SSD) value is calculated between the corresponding warped atlas image and the brain CT image within the region of interest defined for the corresponding warped atlas image. A number of the atlas images are selected based on the SSD values calculated for the atlas images. The brain structures and vessel territories are segmented in the brain CT image using only the selected atlas images.

Method and system for multi-atlas segmentation of brain computed tomography image data

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Plainsboro, NJ, United States of America

Vincent Ordy