Olympus Corporation

Per Suppa

Shota Yamamoto

Lorena Krames

Borg Enders

Ryohei Ogawa

A method of estimating a partial deformation of an organ in which point clouds are calculated from intraoperative image data captured before and after a partial deformation motion of an organ. Geometric feature vectors are assigned to unmoving points, whose position does not change due to the partial deformation motion. Difference vectors indicating the change of the geometric feature vectors due to a change of position of moving in proximity to the unmoving points are utilized to estimate the partial deformation motion of the organ.

Method of operating a medical imaging system, method of simulating a partial deformation of a three-dimensional model of an organ, medical imaging system and software program product

A method for operating a medical navigation system for an image-guided surgical procedure including: training a first artificial neural network on a set of surgical image video data of a target object of a patient representing a video image, and identifying the structure of the target object; training a second artificial neural network on at least one virtual three-dimensional target object model of the target object and identifying the structure of the virtual three-dimensional target object model by the identified structure of the target object; training a third artificial neural network by the identified structure of the target object and the structure of the virtual three-dimensional target object model and aligning the identified structure of the target object, with the structure of the corresponding target object of the virtual three-dimensional target object model, which is identified by the second artificial neural network.

Method for operating a medical navigation system for an image-guided surgical procedure

A method of finding a set of corresponding points in images to be registered. According to the method, an input unit of the system receives a first user input, indicative of a reference point in an intraoperative image. A processing unit sets a reference area surrounding the reference point and converts the image data points in the reference area to a intraoperative point cloud. The input unit receives a second user input, indicative of a candidate point in a preoperative image. The processing unit sets a search area surrounding the reference point and converts the image data points in the reference area to a preoperative point cloud. By comparing geometric feature descriptors of the image data points, the processing unit finds a target point in the preoperative image corresponding to the reference point and defines the points as set of corresponding points.

Method of finding a set of corresponding points in images to be registered, image registration method, medical image registration system and software program product

Growing community of inventors

Hamburg, Germany

Per Suppa