A custom arthroplasty guide and a method of manufacturing such a guide are disclosed herein. The method of manufacturing the custom arthroplasty guide includes: a) generating medical imaging slices of the portion of the patient bone; b) identifying landmarks on bone boundaries in the medical imaging slices; c) providing model data including image data associated with a bone other than the patient bone; d) adjusting the model data to match the landmarks; e) using the adjusted model data to generate a three dimensional computer model of the portion of the patient bone; f) using the three dimensional computer model to generate design data associated with the custom arthroplasty guide; and g) using the design data in manufacturing the custom arthroplasty guide.

A computer-implemented method of preoperatively planning a surgical procedure on a knee of a patient including determining femoral condyle vectors and tibial plateau vectors based on image data of the knee, the femoral condyle vectors and the tibial plateau vectors corresponding to motion vectors of the femoral condyles and the tibial plateau as they move relative to each other. The method may also include modifying a bone model representative of at least one of the femur and the tibia into a modified bone model based on the femoral condyle vectors and the tibial plateau vectors. And the method may further include determining coordinate locations for a resection of the modified bone model.

The present invention relates to a system for extracting position information of object in point cloud data by using component comprising a component file creating unit making the component file of prior standardized object; an object position information extraction unit extracting position information of object by using point cloud data collected by LiDAR; and an object outline extraction and position determination unit optimizing object outline of point cloud data by using the component file, and extracting accurate information of standard position from the optimized outline.

Systems, methods, and apparatuses are provided for estimating a road profile in surroundings of a vehicle by using a state function that describes the road profile and a Bayes filter for adapting the state function based on surroundings measurement data. Sensor-captured surroundings measurement data is received. Information about an uncertainty regarding at least either the state function or the sensor-captured surroundings measurement data is received. The information is taken as a basis for adapting a state inaccuracy that influences an attenuation of the Bayes filter.

Systems, methods, and apparatus are provided for compensating for an observation error when estimating a course of a road in an environment of a vehicle. A state function is obtained for mapping the estimated course of the road. Environment measurement data of the environment of the vehicle is obtained. Information about the observation error is captured. A transform is determined by transforming the state function or the environment measurement data based on the captured information about the observation error to compensate for the observation error. The estimated course of the road is adapted using the transform.

A non-intrusive detection method for detecting at least one pop-up window button of the pop-up window includes the following steps: retrieving a screen image on a display device; comparing the screen image with a preset screen image and generating a differential image area according the screen image and the preset screen image; determining the differential image area as the pop-up window when the differential image area is greater than an image area threshold value; selecting a plurality of contour lengths of the pop-up window matching up with a contour length threshold value by Canny edge detector; and analyzing the contour lengths according to Douglas-Peucker algorithm and an amount of endpoints to generate a contour edge corresponding to the pop-up window button.

Facilitating analysis of user interface gesture patterns is described. In example implementations, a computing device acquires data that describes a user interface gesture pattern, such as finger movements on a touchscreen, in terms of pixels of a visual display. A repetitive arrangement of polygons, such as a grid of rectangles, is logically overlaid on the visual display. The computing device transforms the pixel-based data into polygon-based data that represents the gesture pattern in terms of polygons traversed by the gesture pattern. The computing device also converts the polygon-based data into text-based data such that the gesture pattern is represented by textual characters, such as a text string. The text string can include, for instance, a list of polygons traversed by the gesture pattern. The text-based data is forwarded to a service that can efficiently analyze relationships that may exist among multiple gesture patterns across multiple devices or end users.

There is provided a system and method for evaluation of cardiac images, wherein enhanced evaluation of myocardial mechanical function is possible. The system and methods include methods for segmentation of cardiac images obtained via cMRI or other imaging modalities, wherein the segmentation allows for fusion of these images with images obtained from a different modality such as echocardiogram and/or LE-MRI. The fused images may then be used to provide a diagnosis or a recommendation for a procedure, such as implantation of a cardiac pacemaker. Moreover, follow-up evaluation may be done using only one imaging modality, such as echocardiogram, for example. The system and methods disclosed herein further provide additional post-processing, such as computation of mid-myocardial strain, which can further be useful in diagnosis and planning.

The present invention extends to methods, systems, and computer program products for using virtual data to test and train parking space detection systems. Aspects of the invention integrate a virtual driving environment with sensor models (e.g., of a radar system) to provide virtual radar data in relatively large quantities in a relatively short amount of time. The sensor models perceive values for relevant parameters of a training data set. Relevant parameters can be randomized in the recorded data to ensure a diverse training data set with minimal bias. Since the driving environment is virtualized, the training data set can be generated alongside ground truth data. The ground truth data is used to annotate true locations, which are used to train a parking space classification algorithms to detect the free space boundaries.

A custom arthroplasty guide and a method of manufacturing such a guide are disclosed herein. The method of manufacturing the custom arthroplasty guide includes: a) generating medical imaging slices of the portion of the patient bone; b) identifying landmarks on bone boundaries in the medical imaging slices; c) providing model data including image data associated with a bone other than the patient bone; d) adjusting the model data to match the landmarks; e) using the adjusted model data to generate a three dimensional computer model of the portion of the patient bone; f) using the three dimensional computer model to generate design data associated with the custom arthroplasty guide; and g) using the design data in manufacturing the custom arthroplasty guide.