Abstract: Systems and methods for improved visual prosthetic and orthodontic treatment planning are provided herein. In some aspects, a method for preparing a tooth of a patient is disclosed. The method may comprise building a model of a dentition of the patient including a model of the initial shape of tooth. The method may also include determining a final prepared shape of the tooth. In some aspects, the method may also include generating a treatment plan comprising a plurality of steps to modify the initial shape of the tooth to the final prepared shape of the tooth. The method may also include rendering visualizations for the plurality of steps of the treatment plan. The visualizations may depict the removal of tooth material to modify the initial shape of the tooth to the final prepared shape of the tooth.

Abstract: A positioning device combining mark point positioning and intelligent reverse positioning and method thereof, comprising a binocular camera, a third camera, and a laser; the laser is used for emitting laser projection, the binocular camera is used for acquiring images with laser lines and reflective mark points on the surface of the scanned object, and the third camera is used for acquiring images with coding points and mark points in the peripheral environment; the method comprises the following steps of: S1. calibrating parameters of each camera under different scanning modes, and enabling the parameters of each camera to synchronously and correspondingly transform when the scanning modes are switched; S2. judging and switching the scanning mode into a mark point mode or an intelligent reverse tracking mode through the scanning scene. The two positioning modes are flexibly switched, and the use of a user is facilitated.

Abstract: Techniques are disclosed relating to scoring partial matches between words. In certain embodiments, a method may include receiving a request to determine a similarity between an input text data and a stored text data. The method also includes determining, based on comparing one or more words included in the input text data with one or more words included in the stored text data, a set of word pairs and a set of unpaired words. Further, in response to determining that the set of unpaired words passes elimination criteria, the method includes calculating a base similarity score between the input text data and the stored text data based on the set of word pairs. The method also includes determining a scoring penalty based on the set of unpaired words and generating a final similarity score between the input text data and the stored text data by modifying the base similarity score based on the scoring penalty.

Abstract: An imaging system including visible-light camera(s), pose-tracking means, and processor(s). The processor(s) is/are configured to: control visible-light camera(s) to capture visible-light image, whilst processing pose-tracking data to determine pose of camera(s); obtain three-dimensional model of real-world environment; create occlusion mask, using three-dimensional model; cull part of virtual object(s) to generate culled virtual object(s), wherein virtual object(s) is to be embedded at given position in visible-light image; detect whether width of culled part or remaining part of virtual object(s) is less than predefined percentage of total width of virtual object(s); if width of culled part is less than predefined percentage, determine new position and embed entirety of virtual object(s) at new position to generate extended-reality image; and if width of remaining part is less than predefined percentage, cull entirety of virtual object(s).

Abstract: A system can include one or more processors and one or more non-transitory computer-readable storage media storing computing instructions configured to run on the one or more processors and perform: generating a training dataset for training a neural network detection model; identifying, using the neural network detection model, as trained, the non-compliant content in the synthetic training images; receiving, at the neural network detection model, at least one image; and utilizing the neural network detection model to determine whether the at least one image comprises the non-compliant content. Other embodiments are disclosed herein.

Abstract: Embodiments of the present invention provide a computer-implemented method of determining a parameter indicative of dark adaptation of an eye, comprising receiving threshold data from a dark adaptometer indicative of a perception threshold of the eye, fitting first and second models to the threshold data, wherein the first model is associated with a first dark adaptation mechanism and the second model is associated with the first dark adaption mechanism and a second dark adaptation mechanism, determining a confidence associated with the fitting of each of the first and second models to the received threshold data, iteratively repeating the steps of receiving the threshold data and fitting the first and second models in dependence on the determined confidence, and outputting an indication of one or more parameters indicative of dark adaptation of an eye associated with one or both of the first and second models.

Abstract: An apparatus and method of measuring pattern uniformity, and a method of manufacturing a mask by using the measurement method are provided. The measurement apparatus includes a light source configured to generate and output light, a stage configured to support a measurement target, an optical system configured to transfer the light, output from the light source, to the measurement target supported on the stage, and a first detector configured to detect light reflected and diffracted by the measurement target, or diffracted by passing through the measurement target, wherein the first detector is configured to detect a pupil image of a pupil plane and to measure pattern uniformity of an array area of the measurement target on the basis of intensity of at least one of zero-order light and 1st-order light of the pupil image.

Abstract: Vanishing point extraction includes obtaining a straight line including a vanishing point of a first image; obtaining a plurality of sample points in the first image based on processing the first image according to an object included in the first image and the straight line including the vanishing point of a first image, such that the plurality of sample points are determined as pixels in the first image having coordinates that overlap with coordinates of pixels of both the straight line and the object included in the first image; obtaining at least one matching point, in a second image, that corresponds to at least one sample point of the plurality of sample points in the first image the second image generated subsequently to the first image being generated; and obtaining a vanishing point of the second image based on the at least one matching point of the second image.

Abstract: A method for performing region-of-interest (ROI)-based depth detection with aid of a pattern-adjustable projector and associated apparatus are provided.

Abstract: A biological information detection device includes: a video capture unit, a blood flow analysis unit, a local pulse wave detection unit, a pulse wave propagation velocity calculation unit, and a blood pressure estimation unit. The video capture unit obtains video information on a face of a living body. The blood flow analysis unit analyzes video data of at least three skin areas in the video information, as blood flow information. The local pulse wave detection unit is provided for each skin area to calculate pulse information based on the blood flow information sequenced chronologically. The pulse wave propagation velocity calculation unit calculates a pulse wave propagation velocity based on a phase difference between pieces of the pulse information at each skin area calculated by the local pulse wave detection unit. The blood pressure estimation unit estimates blood pressure based on the pulse wave propagation velocity.

Abstract: A system and method for assessing an intravenous catheter site is described in embodiments herein. An application accessible on a mobile device may be used to take calibrated photographs of an intravenous catheter site. The resulting calibrated image may be compared to previously taken calibrated images to determine a complication. Success of treatments to the complication may be tracked and the patient's electronic medical record may be updated.

Abstract: A photoplethysmogram (PPG) sensor includes a pixel array that collects light, a pixel sampler that converts the light collected through the pixel array into a plurality of pixel data, an effective area determiner that determines an effective area and a non-effective area of the pixel array based on the pixel data, a power controller that is operable to cut off power to the non-effective area of the pixel array, and a PPG data generator that generates PPG data from pixel data corresponding to the effective area among the pixel data.

Abstract: A grid clustering-based system for locating abnormal area of solder paste printing and a method thereof are disclosed. In the system, an analysis device divides circuit board size information to generate divided grids based on grid size information, when a total number of at least one bad solder joint of one of the divided grids is determined to be higher than or equal to a density threshold value, the analysis device sets the one of divided grids as a high dense grid, the analysis device then integrates the divided grids, which are high dense grids and interconnected to each other, as a high-dense bad solder joint area. Therefore, the technical effect of integrating high dense areas of bad solder joint to locate the bad solder joint can be achieved.

Abstract: Disclosed is a method for generating high resolution point cloud data for electro-anatomical mapping comprising receiving sparsely measured point cloud data having a plurality of data points. Surface mesh data comprising mesh points defining triangles on a myocardial surface is generated. The point cloud data is mapped to the surface mesh data. For each point of the surface mesh data that cannot be mapped to the point cloud data because there is a missing data point in point cloud data, an interpolation operation is performed based on the point cloud data within the neighbourhood of the point to generate a value for the missing data point. The interpolation operation is repeated N times. For every repetition, a difference between the value for the missing data point generated from the current iteration and the value for the missing data point generated from the immediately preceding iteration is compared, until the difference is below a threshold.

Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.

Abstract: Example embodiments allow for fast, efficient motion-magnification of video streams by decomposing image frames of the video stream into local phase information at multiple spatial scales and/or orientations. The phase information for each image frame is then scaled to magnify local motion and the scaled phase information is transformed back into image frames to generate a motion-magnified video stream. Scaling of the phase information can include temporal filtering of the phase information across image frames, for example, to magnify motion at a particular frequency. In some embodiments, temporal filtering of phase information at a frequency of breathing, cardiovascular pulse, or some other process of interest allows for motion-magnification of motions within the video stream corresponding to the breathing or the other particular process of interest. The phase information can also be used to determine time-varying motion signals corresponding to motions of interest within the video stream.

Abstract: A radiological imaging device includes a gantry configured to perform radiological imaging and defining an area of analysis, a bearing structure supporting the gantry, and a robotic arm configured to move a medical instrument with respect to the area of analysis. The bearing structure includes a guide defining a translation axis substantially parallel to a longitudinal axis of the device, a first carriage connected to the gantry, and a second carriage connected to said robotic arm, the first and second carriages moving independently of each other, said gantry and said robotic arm configured to move along said translation axis.

Abstract: Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image capturing device to capture one or more images, the one or more images corresponding to a field of the view of a user of a head-mounted augmented reality device, and a processor communicatively coupled to the image capturing device to extract a set of map points from the set of images, to identify a set of sparse points and a set of dense points from the extracted set of map points, and to perform a normalization on the set of map points.

Abstract: A magnetic stimulation system may include first and second subsystems. The first subsystem may include a first stimulator, a first coil, and a first processor configured to determine stimulation parameter data for a subject. The second subsystem may include a second stimulator, a headpiece including an identifier and a second coil mounted to a headpiece body at a fixed location, an image recording device, and a second processor configured to: receive first image data for one or more first images of the subject and headpiece; receive, from the image recording device, second image data for one or more second images of the subject and headpiece; determine, using the first and second image data, that the stimulation parameter data corresponds to the subject; determine, using the second image data, that the headpiece corresponds to the subject; and determine, using the second image data, that the headpiece is at a pre-determined position.

Abstract: Content is identified using watermarking and/or other content recognition combined with contextual metadata, which facilitates identification and correlation with other content and metadata when it is posted to a network.