A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.

In some embodiments, an image editing application stores, based on a first selection input, a selection state that identifies a first image portion of a target image as included in a preview image displayed in a mask-based editing interface of the image editing application. An edit to the preview image generated from the selected first image portion is applied in the mask-based editing interface. The image editing application also updates an edit state that tracks the edit applied to the preview image. The image editing application modifies, based on a second selection input received via the mask-based editing interface, the selection state to include a second image portion in the preview image. The edit state is maintained with the applied edit concurrently with modifying the selection state. The image editing application applies the edit to the modified preview image in the mask-based editing interface.

A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.

An imaging system (100) includes a sub-resolution luminal narrowing detector (112) which detects sub-resolution narrowing of a vessel lumen in an image volume by a centerline profile analysis and computes a sub-resolution determined diameter by modifying an approximated visible lumen diameter with the detected sub-resolution narrowing.

One embodiment of the present invention addresses the problem of reducing the influence of physiological accumulation in monitoring nuclear medical image data. To solve this problem, the embodiment includes: extracting a bone area from CT image data having been positioned with nuclear medical image data; in the nuclear medical image data, displaying the data of an area overlapping the bone area extracted above; and, in the nuclear medical image data, not displaying the data of an area not overlapping the bone area extracted above.

A computing device for providing a virtual fingernail cosmetic experience generates an initial pattern located at a first position on a user interface displaying a digital image, the digital image further displaying a target object. The computing device obtains user input for relocating the initial pattern from the first position to a location in the target object, and in response to relocating the initial pattern, extracts image attributes of the digital image. The computing device estimates at least one of: a shape, size, and an orientation of the target object utilizing the extracted image attributes, wherein the initial pattern comprises a graphic simulating fingernail polish and the target object comprises a fingernail. The computing device generates a transformed pattern from the initial pattern utilizing at least one of: the estimated shape, size, and orientation of the target object, the transformed pattern being superimposed on the target object.

Provided are methods for determining data defining an estimate of the thickness and density of a cortical bone tissue structure of interest from imaging data. The methods can include modelling measured variations of an imaging parameter along a line crossing a cortical bone tissue structure of interest as a function having a thickness parameter, a first density parameter, and a blur parameter; determining a thickness-density relationship between bone tissue structure density and bone tissue structure thickness from multiple thickness and density measurements made on a reference cortical bone tissue structure of a subject which is not the patient; and fitting the function to the measured variations while ensuring the first density parameter and thickness parameter follow the thickness-density relationship, to search for optimal values that include data defining an estimate of the thickness and density of the cortical bone tissue structure of interest. Also provided are systems and computer programs to implement the disclosed methods.

The present disclosure provides a method and device for counting pedestrians. The method comprises: reading a pedestrian depth image, and comparing the pedestrian depth image and a pre-acquired environmental mean image to acquire a foreground image; dividing the foreground image into a plurality of regions, detecting whether or not there is a step in an edge pixel point of each region, and detecting whether or not the region surface formed in each region coincides with the curved surface of the head top; determining that the currently detected region is the region of the head top when there is a step in the point and when the region surface coincides with the curved surface; and counting and outputting the number of pedestrians according to the region of the head top determined from the pedestrian depth image and the region of the head top determined from an adjacent pedestrian depth image.

A circular scratch inspection apparatus includes: a camera capturing an image of a workpiece surface around a hole; illumination device emitting light to the workpiece surface around the hole, the light being reflected on the workpiece surface is not directly incident on the camera; and image processor. The image processor: generates a second-derivative image by performing secondary differentiation on luminance values in an actual image obtained by the camera; generates a second-derivative curve for each of a plurality of ruler lines, extending radially from the hole center and are set in an inspection target region on the workpiece surface; counts a first reference number of times for each ruler line; calculates a first reference total number of times; and determines presence or absence of a circular scratch by using the first reference total number of times.

Provided are a vehicle attitude estimation method, an electronic device and a storage medium, relates to a technical field of data processing, and in particular to fields of automatic driving, intelligent transportation, Internet of Things, big data and the like. A specific implementation solution includes: obtaining first target data, based on point cloud data of a vehicle, the first target data being capable of constituting a target surface of the vehicle; performing attitude estimation on a target body for surrounding the vehicle, based on the first target data, to obtain an estimation result; and estimating an attitude of the vehicle, based on the estimation result. According to the implementation solution, precise or accurate estimation of the attitude of the vehicle may be achieved.