Abstract: A method for measuring foot size and shape by using image processing includes a step of acquiring an image captured by simultaneously photographing a user's foot and an item having a standardized size; and a calculation step of calculating foot size or shape information from the image. The image is captured when at least a part of the user's foot comes in contact with the item.

Abstract: A method of determining treatment geometries for a radiotherapy treatment includes providing a patient model having one or more regions of interest (ROIs); defining a delivery coordinate space (DCS); for each beam's eye view (BEV) plane of each vertex in the DCS, and for each ROI, evaluating a dose of the ROI using transport solutions; evaluating a BEV scores of each pixel of the BEV plane using the doses of the one or more ROIs; determining one or more BEV regions in the BEV plane based on the BEV scores; determining a BEV region connectivity manifold based on the BEV regions; determining a set of treatment trajectories based on the BEV region connectivity manifold; and determining one or more IMRT fields. Each treatment trajectory defines a path through a set of vertices in the DCS. Each IMRT field defines a direction of incidence corresponding to a vertex in the DCS.

Abstract: A method of extracting high-frequency temporal information from images or video recorded with a rolling shutter-based imager includes the steps of acquiring image data using the rolling shutter-based imager; and extracting time-domain frequency information from the image data based on two or more lines of pixels in the image data.

Abstract: Systems and methods for processing electronic images from a medical device comprise receiving an image frame from the medical device, and determining a first color channel and a second color channel in the image frame. A location of an electromagnetic beam halo may be identified by comparing the first color channel and second color channel. Edges of an electromagnetic beam may be determined based on the electromagnetic beam halo, and size metrics of the electromagnetic beam may be determined based on the edges of the electromagnetic beam. A visual indicator on the image frame may be displayed based on the size metrics of the electromagnetic beam.

Abstract: A system and method is provided for assessing efficacy of placement of a vascular implant medical device that has been implanted in a subject. The method includes accessing, with a computer system, image data acquired from a subject using a medical imaging system. The image data include at least one image of the vascular implant device implanted within a vascular structure of the subject after the subject has received an injection of a contrast agent at a contrast injection site. The method also includes determining, from the image data, a region of interest (ROI) that includes the vascular structure and is downstream of the contrast injection site and developing a contrast model from the image data. The method further includes, using the contrast model, determining a flow time constant and, using the flow time constant, assessing an efficacy of the vascular implant device implanted in the vascular structure.

Abstract: A system and method for analyzing bodily fluid include a sample holder holding a bodily fluid sample, an image capture device generating an image of the bodily fluid sample comprising a plurality of fields of view. An image processor is programmed to determine a biofilm in the bodily fluid sample from the image, determine a biofilm area or volume within each of the plurality of fields of view to form a plurality of biofilm areas, determine a total biofilm area or total biofilm volume by adding the plurality of biofilm areas, determine a first value corresponding to a comparison of the total biofilm area or the total biofilm volume and a total volume of the bodily fluid sample, and classify the first value into a classification. An analyzer, using the classification, displays an indicator on a display for indicating the classification of the biofilm within the bodily fluid sample.

Abstract: The disclosure describes imaging and therapy techniques comprising nanodroplets. More particularly, aspects of the disclosure relate to the use of nanodroplets to modify nanobubbles or microbubbles to provide improved imaging and/or therapeutic techniques and compositions.

Abstract: Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.

Abstract: A method of diagnosing Alzheimer's disease using a positron emission tomography-computed tomography (PET-CT) image may include generating a standard brain CT template in a Montreal Neurological Institute (MNI) region based on a CT image calculated from a PET-CT apparatus, calculating a whole cortex volume of interest (VOI) for a plurality of detail regions capable of being used in 18F-florbetaben (FBB) and 18F-flutemetamol (FMM) in common within a cortex ROI region in which a deposition of beta amyloid protein is equal to or higher than a given value based on the standard brain CT template, and calculating a centiloid of each of the plurality of detail regions based on an amyloid standardized uptake value ratio (SUVR) of each of the plurality of detail regions.

Abstract: Computer-implemented process on an image of a biological sample The present invention relates to a computer-implemented process to automatically analyze a digital image (103) of abiological sample (101). The process involves a change (203) from a first color space to a second color space. Then, fits are performed taking into account several dimensions of the second color space to classify pixels.

Abstract: Embodiments described herein provide a middle frame image processing schema in a multi-sensor environment, for example improve image processing throughput and snappiness by processing middle frame image data objects of a middle frame image size that is shared amongst a plurality of image sensors. An example apparatus includes a plurality of image sensors, each configured to capture a full frame image data object and output a middle frame image data object. The apparatus further includes an image frame multiplexer communicable with each of the plurality of image sensors, and configured to receive a plurality of middle frame image data objects, and output a selected middle frame image data object from the plurality of middle frame image data objects. The apparatus further includes a processor communicable with the image frame multiplexer, and configured to receive the selected middle frame image data object, and process the selected middle frame image data object.

Abstract: Systems and methods include acquisition of magnetic resonance data of a subject disposed in a first position, acquisition of positron emission tomography data of imaging hardware and of the subject disposed substantially in the first position, generation of a subject attenuation correction map of the subject based on the magnetic resonance data, determination of an imaging hardware attenuation correction map associated with the imaging hardware, determination of a target location and orientation of the imaging hardware attenuation correction map with respect to the positron emission tomography data and based on the positron emission tomography data and on the subject attenuation correction map, and application of attenuation correction to the positron emission tomography data based on the imaging hardware attenuation correction map in the target location and orientation and the subject attenuation correction map to generate attenuation-corrected positron emission tomography data.

Abstract: The pose of an object may be estimated based on fiducial points identified in a visual representation of the object. Each fiducial point may correspond with a component of the object, and may be associated with a first location in an image of the object and a second location in a 3D coordinate pace. A 3D skeleton of the object may be determined by connecting the locations in the 3D space, and the object's pose may be determined based on the 3D skeleton.

Abstract: A non-transitory computer readable medium storing data and computer implementable instructions that, when executed by at least one processor, cause the at least one processor to perform operations for generating cross section views of a wound, the operations including receiving 3D information of a wound based on information captured using an image sensor associated with an image plane substantially parallel to the wound; generating a cross section view of the wound by analyzing the 3D information; and providing data configured to cause a presentation of the generated cross section view of the wound.

Abstract: A user may be directed to the nail application (e.g., a mobile application that provides the various augmented reality and booking features discussed herein) via interactions with a social media site. For example, a user may browse Facebook and see a friend's post or advertisement regarding a nail design, or more generally, some artwork that the user feels would look nice as a nail design. The user may select the artwork and be redirected to the nail application to begin an augmented reality testing of one or more nail artwork designs and/or schedule treatments. In some embodiments, the social media website utilizes an API provided by the data center (e.g. the entity that coordinates the treatment booking process and provides augmented reality software to the users) so that the user can “Touch to try-on” a particular design team in social media by clicking on the design.

Abstract: Disclosed is a computer-implemented method of determining one or more position and/or orientation parameters of an anatomical structure of a body portion. The anatomical structure has a longitudinal shape defining a longitudinal axis. The method includes generating and/or reading, by a data processing system, volumetric data of at least a portion of a subject. The method further includes generating and/or reading, by the data processing system, a deformable template which provides an estimate for a location of the longitudinal axis in the portion of the subject. The method further includes matching, by the data processing system, the deformable template to the volumetric data, thereby obtaining a matched template. The matching comprises using one or more internal energy functions and one or more external energy functions for optimizing an objective function.

Abstract: To create a 3D model of part of a cardiovascular system, two 2D images taken of different orientations of the cardiovascular system may be combined. The 2D images originate from video streams taken at different points in time, which comprise frames showing a beating heart, and thus a moving cardiovascular system. Because of this movement, not just any random set of two 2D images may result in useable 3D model. To select a proper set of two 2D images, a method is provided wherein said selection is based on cardiac cycle data. The cardiac cycle data may comprise heart activity data as a function of time and timing data on cycle events. These cycle events may be repetitive, as the same events occur with every heartbeat. The selected frames are preferably selected at, or approximately at, similar events.

Abstract: A follicular unit harvesting process receives images for analysis and identifies and highlights clusters of hair. The analysis includes pixel type determination, pixel clustering, cluster classification and cluster highlighting or replacement. The analysis of the pixels is performed concurrently, and the results of the analysis are optionally used for automated treatment planning.

Abstract: Systems, methods, and computer-readable storage media for object detection and classification, and particularly produce detection and classification. A system configured according to this disclosure can receiving, at a processor, an image of an item. The system can then perform, across multiple pre-trained neural networks, feature detection on the image, resulting in feature maps of the image. These feature maps can be concatenated and combined, then input into an additional neural network for feature detection on the combined feature map, resulting in tiered neural network features. The system then classifies, via the processor, the item based on the tiered neural network features.

Abstract: A medical image processing device having a processor configured to: acquire a medical image including an image of a subject; perform a first recognition of the medical image using a first recognizer; determine a confidence level for a recognition result of a first recognition by the first recognition; and perform a second recognition of the medical image using a second recognizer according to the confidence level for the recognition result of the first recognition, the second recognition having higher recognition accuracy than the first recognition.