Abstract: Disclosed herein is an apparatus comprising: an X-ray source configured to direct X-rays through a human tissue; an X-ray detector configured to capture an image of the human tissue with the X-rays; wherein the apparatus is configured to identify an image of a blood vessel from the image of the human tissue and configured to determine a blood sugar level based on the image of the blood vessel.

Abstract: A computer visual guidance system for guiding a surgeon through an arthroscopic debridement of a bony pathology, wherein the computer visual guidance system is configured to: (i) receive a 2D image of the bony pathology from a source; (ii) automatically analyze the 2D image so as to determine at least one measurement with respect to the bony pathology; (iii) automatically annotate the 2D image with at least one annotation relating to the at least one measurement determined with respect to the bony pathology so as to create an annotated 2D image; and (iv) display the annotated 2D image to the surgeon so as to guide the surgeon through the arthroscopic debridement of the bony pathology.

Abstract: A computer that determines at least an anatomic feature of a left atrial appendage (LAA) is described. During operation, the computer generates a 3D image associated with an individual's heart. This 3D image may present a view along a perpendicular direction to an opening of the LAA. Then, the computer may receive information specifying a set of reference locations. For example, the set of reference locations may include: a location on a circumflex artery, a location between a superior portion of the LAA and a left pulmonary vein, and/or a location on a superior wall of the LAA and distal to trabeculae carneae. Next, the computer automatically determines, based, at least in part, on the set of reference locations, at least the anatomical feature of the LAA, which is associated with the opening of the LAA and a size of a device used in an LAA closure (LAAC) procedure.

Abstract: Computer-implemented methods and systems are provided for curating medical images for a medical image database. An example method for curating involves operating a processor to obtain a query medical image, assign the query medical image to an initial set of related images, and generate a similarity indicator for each image of the initial set. The similarity indicator is representative of a measure of similarity between image data of that image and the initial set. The processor is operable to define an intermediate set from the initial set based on the similarity indicators; and generate a relevancy indicator for each image of the intermediate set. The relevancy indicator is representative of a measure of the relevancy between relevance of the image and the intermediate set. The processor is operable to define a curated set of images from the intermediate set based on the relevancy indicators.

Abstract: A method for lung nodule evaluation is provided. The method may include obtaining a target image including at least a portion of a lung of a subject. The method may also include segmenting, from the target image, at least one target region each of which corresponds to a lung nodule of the subject. The method may further include generating an evaluation result with respect to the at least one lung nodule based on the at least one target region.

Abstract: Systems and methods are provided for registering images. The systems and methods perform operations comprising: receiving, at a first time point in a given radiation session, a first imaging slice corresponding to a first plane; encoding the first imaging slice to a lower dimensional representation; applying a trained machine learning model to the encoded first imaging slice to estimate an encoded version of a second imaging slice corresponding to a second plane at the first time point to provide a pair of imaging slices for the first time point; simultaneously spatially registering the pair of imaging slices to a volumetric image, received prior to the given radiation session, comprising a time-varying object to calculate displacement of the object; and generating an updated therapy protocol to control delivery of a therapy beam based on the calculated displacement of the object.

Abstract: A fingerprint sensor-compatible overlay material which uses anisotropic conductive material to enable accurate imaging of a fingerprint through an overlay is disclosed. The anisotropic conductive material has increased conductivity in a direction orthogonal to the fingerprint sensor, increasing the capacitive coupling of the fingerprint to the sensor surface, allowing the fingerprint sensor to accurately image the fingerprint through the overlay. Methods for forming a fingerprint sensor-compatible overlay are also disclosed.

Abstract: Systems and methods for generating an ablation map identifying target ablation locations on a heart of a patient are provided. One or more input medical images of a heart of a patient and a voltage map of the heart of the patient are received. An ablation map identifying target ablation locations on the heart is generated using one or more trained machine learning based models based on the one or more input medical images and the voltage map. The ablation map is output.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126), and a reference location (128), and a processor (120) configured to the biophysical simulator and simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by the reference location. A computer readable storage medium encoded with computer readable instructions, which, when executed by a processor of a computing system, causes the processor to simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location. A method including simulating a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location.

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools, wherein natural language processing (NLP) is applied to associate text with tokens, and relevant differences and similarities between protocols are identified.

Abstract: The present invention discloses a clustering algorithm-based multi-parameter cumulative calculation method for lower limb vascular calcification indexes, including the following steps: firstly carrying out super-pixel segmentation of a CT image, and enabling calcified spots in the CT image to be segmented in each super-pixel region; after the super-pixel segmentation is accomplished, extracting a brightness characteristic value of a super-pixel region where the calcified spots are located by using a Lab color space, and performing edge detection and contour extraction on the calcified spots in the image; and after edge detection and contour extraction, fitting the calcified spots in the image by using a segmented ellipse, and extracting the area of the calcified spots after optimizing an ellipse contour.

Abstract: A method and system for selecting an intraocular lens, with a controller having a processor and tangible, non-transitory memory. A plurality of machine learning models is selectively executable by the controller. The controller is configured to receive at least one pre-operative image of the eye and extract, via a first input machine learning model, a first set of data. The controller is configured to receive multiple biometric parameters of the eye and extract, via a second input machine learning model, a second set of data. The first set of data and the second set of data are combined to produce a mixed set of data. The controller is configured to generate, via an output machine learning model, at least one output factor based on the mixed set of data. An intraocular lens is selected based in part on the at least one output factor.

Abstract: Methods, systems, and articles of manufacture to improve image recognition searching are disclosed. In some embodiments, a first document image of a known object is used to generate one or more other document images of the same object by applying one or more techniques for synthetically generating images. The synthetically generated images correspond to different variations in conditions under which a potential query image might be captured. Extracted features from an initial image of a known object and features extracted from the one or more synthetically generated images are stored, along with their locations, as part of a common model of the known object. In other embodiments, image recognition search effectiveness is improved by transforming the location of features of multiple images of a same known object into a common coordinate system. This can enhance the accuracy of certain aspects of existing image search/recognition techniques including, for example, geometric verification.

Abstract: The specification discloses image and data processing methods and apparatuses. The method includes: obtaining a source pose and texture information according to a source image; obtaining a first synthetic image according to the source image, a target pose, and the source pose; obtaining a residual map according to the texture information and the first synthetic image; and obtaining a second synthetic image according to the first synthetic image and the residual map. The specification resolves the technical problem of lacking a sense of reality in a synthetic image due to loss of texture details in feature extraction during character action transfer in the existing technologies.

Abstract: A control method for an image processing apparatus that generates a plurality of pieces of album data including a common page, which is a page common to all of the plurality of pieces of album data, and an individual page, which is a page not common to all of the plurality of pieces of album data, includes performing control in such a manner that cover image data corresponding to an image to be placed in a cover of each album is selected as individual image data or common image data.

Abstract: A route selection assistance system, a recording medium on which a route selection assistance program is recorded, a route selection assistance method, and a diagnosis method that enable easy selection of a route of a living body lumen for delivering a medical instrument to a site within a living body via the living body lumen. A route selection assistance system includes: a receiving section configured to receive an input of site information specifying a target site; an image obtaining section configured to obtain image information on a living body of a target patient; a route extracting section configured to extract a plurality of routes of a living body lumen; a ranking assigning section configured to assign rankings to the plurality of routes extracted by the route extracting section; and an output section configured to output the plurality of routes extracted and the rankings assigned by the ranking assigning section.

Abstract: Provided is a medical display control device including a display control unit that causes a first captured medical image and a second captured medical image to be simultaneously displayed, the first captured medical image having been captured in an imaging device in a first imaging mode where imaging is performed with special light, the second captured medical image having been captured in the imaging device in a second imaging mode different from the first imaging mode before the first captured medical image.

Abstract: Computer-implemented methods and systems are provided for curating medical images for a medical image database. An example method for curating involves operating a processor to obtain a query medical image, assign the query medical image to an initial set of related images, and generate a similarity indicator for each image of the initial set. The similarity indicator is representative of a measure of similarity between image data of that image and the initial set. The processor is operable to define an intermediate set from the initial set based on the similarity indicators; and generate a relevancy indicator for each image of the intermediate set. The relevancy indicator is representative of a measure of the relevancy between relevance of the image and the intermediate set. The processor is operable to define a curated set of images from the intermediate set based on the relevancy indicators.

Abstract: A system and a computer-implemented method are provided to create a virtual model representing at least the individual visible teeth parts and gingiva of at least part of a dentition of a patient in segmented form out of a 3d model representing that part of the dentition in unsegmented form. At least one treatment plan is created and a process is provided for obtaining at least one appliance based on the at least one treatment plan.