Abstract: A method and a system for navigation and/or control support for transurethral prostate resection, the method including: analyzing endoscopic images provided by a resectoscope and/or additional sensory data from within the resectoscope during TURP for one or more of several options, and at least one of: automatically disabling HF current to the resection electrode under several different outcomes of the analyzing, and outputting visual and/or acoustic information to an operator performing the TURP. The information including at least one of: a visual indication of an anatomical landmark inside and/or outside of the endoscopic image, a visual indication of a distance of the resection electrode to an anatomical landmark, and a visual or acoustic warning signal when the resection electrode comes closer than a predetermined allowable distance to one or more of the bladder neck, the verumontanum and the internal and/or external sphincter muscles.

Abstract: A device including a processor that receives 3D data of a model and 2D data of a real-world image of a body part, visualize the model and the body part on a 2D display, receive user input data, and operate a mouse pointer on the 2D display based on the user input data, receive user input data, which, for at least a first to third pair comprising a reference point and a corresponding reference point indicates a registration between the reference point in the real-world image and the corresponding reference point in the 3D model, expand the 2D data of the reference points into synthesized 3D data by adding depth information from one or more of the 3D data and the 2D data, determine a registration matrix for registering the 3D data and the synthesized 3D data using the 3D coordinates of the first to third pair of reference points.

Abstract: 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.

Abstract: A surgical information system having: a first processing device in a working area configured to: provide and reproduce a 3D model of a body part; receive instructions defining a sequence of views on the 3D model in that every view defines an orientation of the 3D model and the sequence defines a chronological order of the views on the 3D model; store the sequence of views together with the 3D model; and transmit the sequence of views and the 3D model to the second processing device located in the clean area; and a second processing device in a clean area configured to reproduce the sequence of views transmitted by the first processing device on a displaying device.

Abstract: 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.

Abstract: A method for processing image data is provided. The method including: providing source data from images acquired by a camera viewing an object, providing target data related to the object, operating an AI system including at least one artificial neural network, wherein the source data are used as an input of the AI system, and wherein the AI system is trained to identify a first correlation between the source data and the target data, and processing the source data and the target data based on the first correlation to obtain a second correlation between the source data and the target data.

Abstract: A laparoscopic image manipulation method including: capturing a video stream of laparoscopic images of a patient using a laparoscope inserted into the patient during a laparoscopic procedure, feeding the captured laparoscopic images to a video processor configured to adding additional information as overlay over the captured laparoscopic images, producing a composite image by rendering a representation of a 3D model of a target organ or structure using a renderer and merging the rendered representation of the 3D model with the captured laparoscopic image, and displaying the composite image on a monitor.

Abstract: 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.

Abstract: A surgical system including a surgical instrument having a shaft, an image sensor positioned at a distal end of the shaft, the image sensor being configured to capture images of a target object of a living object, and a control grip is arranged at a proximal end of the shaft. The surgical system further including a monitor for displaying the images and a controller configured to display a virtual target object model image of the target object on the monitor. Where the control grip is configured to position the virtual target object model image displayed on the monitor at a determined position and rotate the virtual target object model image displayed on the monitor at the determined position.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A medical support apparatus has one processor or more, and the processor is configured to: acquire a medical image; and based on the medical image, generate a guidance display that indicates a boundary between segments whose recommendation levels for medical treatment are different in the medical image and that is to be superimposed on the medical image.

Abstract: A method and a system for controlling a surgical HF generator during a HF surgical procedure performed with a handheld HF surgical instrument supplied with HF energy by the HF generator. The method includes evaluating a succession of images of an operating area that are captured in an image sequence during the HF surgical procedure, including subjecting the images to automatic real-time image recognition to detect a predetermined structure and/or a predetermined operating situation, and in response to detection of the structure and/or operating situation, suggesting or performing a change of an operating parameter and/or operating mode of the HF generator. The system can include the HF generator, at least one handheld HF surgical instrument, a display device, a video endoscope, and a processor that is capable of receiving and evaluating image signals from the video endoscope.

Abstract: The invention relates to novel imaging-based biomarkers for characterizing the structure or function of a human or animal brain. These biomarkers can be a weighted confluency sum score (WCSS) or a percent shielding by brain lesions (SbBL). Methods implementing these biomarkers are also disclosed.

Abstract: The invention relates to novel imaging-based biomarkers for characterizing the structure or function of a human or animal brain. These biomarkers can be a weighted confluency sum score (WCSS) or a percent shielding by brain lesions (SbBL). Methods implementing these biomarkers are also disclosed.