Abstract: There is provided a system for generating instructions for adjustment of vehicle sub-system(s) according to an analysis of a computed six degrees of freedom (6 DOF) of vehicle occupant(s), comprising: hardware processor(s), and a non-transitory memory having stored thereon a code for execution by the at least one hardware processor, the code comprising instructions for: obtaining at least one image of a cabin of a vehicle captured by an image sensor, obtaining depth data from a depth sensor that senses the cabin of the vehicle, wherein the at least one image and the depth data depict at least one head of at least one occupant, computing 6 DOF for the at least one head according to the at least one image and depth data, and generating instructions for adjustment of at least one vehicle sub-system according to the computed 6 DOF of the at least one vehicle occupant.

Abstract: 3D image data of a skeletal portion within a subject's body is acquired. Subsequently, one or more radiopaque elements are positioned with respect to the body and first and second x-rays of the radiopaque elements and the skeletal portion are acquired from respective views. Based upon an identified location of the radiopaque elements within the x-rays, and registration of the x-rays to the 3D image data, the location of the radiopaque elements with respect to the 3D image data is determined. An optical image of the body and the radiopaque elements is acquired and the location of the radiopaque elements within the optical image is identified. The 3D image data is overlaid upon the optical image by aligning (a) the location of the radiopaque elements within the 3D image data with (b) the location of the radiopaque elements within the optical image. Other applications are also described.

Abstract: Methods and systems are provided for adaptive scan control. In one embodiment, a method includes, upon an injection of a contrast agent, initiating a contrast scan of a subject according to a fallback scan prescription, processing acquired projection data of an anatomical region of interest (ROI) of the subject to measure a contrast signal of the contrast agent, identifying a peak in the contrast signal within a predetermined time frame, if the peak in the contrast signal is not identified within the predetermined time frame, updating the fallback scan prescription to generate an adapted scan prescription for the contrast scan based on the contrast signal, and performing a remainder of the contrast scan according to the adapted scan prescription, and if the peak in the contrast signal is not identified within the predetermined time frame, continuing the remainder of the contrast scan according to the fallback scan prescription.

Abstract: A medical image processing apparatus having a processor configured to: acquire a plurality of medical images each including a subject image; detect a region of interest for each medical image; determine whether or not a plurality of the regions of interest detected for each medical image are regions including the same target; and count the number of the regions of interest excluding an overlap of the regions determined to include the same target among the plurality of the regions of interest.

Abstract: A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.

Abstract: Methods and systems for generating electronic signatures are disclosed. In some embodiments, the method includes: storing pixel features of a signing device; capturing, via an imaging device, a plurality of image frames including the pixel features of the signing device; identifying in the plurality of image frames, by a processor, first pixels matching the stored pixel features of the signing device; generating, by the processor, a first image including the identified pixels; and connecting, by the processor, the identified pixels to form at least one line drawing representing a signature.

Abstract: A system includes a processor and, a computer-readable tangible storage device storing program instructions for execution by the processor. The program instructions include instructions for receiving ultrasonic derived data comprising an ultrasound image, representing a region of interest, and radio frequency “(RF”) data associated with the ultrasound image, and instructions for analyzing the RF data to identify at least one feature associated with a region of interest, including either or both of a feature representing a two-dimensional spectrum feature and a feature based on a cepstrum determined from the RF data. The program instructions further include instructions for classifying the region of interest as one of a plurality of anatomical classes from the identified at least one feature and causing a display to display the anatomical class.

Abstract: Techniques for scanning physical media on physical items and providing information about those physical items are provided. In one technique, based on a printed medium of a physical item, a mobile device generates digital scan data that reflects multiple individual items that are referenced on the printed medium. The mobile device sends, over a computer network, to a remote server, the digital scan data or data that identifies individual items. The remote server determines a toxicity metric for each individual item. The remote server generates, based solely on each toxicity metric, a safeness rating of the physical item. Rating data is generated based on the safeness rating and presented on a screen of the mobile device in association with data that identifies the physical item.

Abstract: Embodiments consistent with the present disclosure provide systems, methods, and devices for providing wound capturing guidance. In one example, consistent with the disclosed embodiments, an example system may: display, on a mobile device, a user interface configured to guide a patient through one or more steps for performing a medical action, the plurality of steps including at least: using at least one item of a medical kit; and capturing at least one image of at least part of the at least one item of the medical kit using at least one image sensor associated with the mobile device. The example system may also: detect a failure to successfully complete the medical action; select from one or more alternative reactions, a reaction to the detected failure likely to bring a successful completion of the medical action; and provide instructions associated with the selected reaction.

Abstract: Described herein is a platform and supported graphical user interface (GUI) decision-making tools for use by medical practitioners and/or their patients, e.g., to aide in the process of making decisions about a course of cancer treatment and/or to track treatment and/or the progress of a disease.

Abstract: A local object classifier using a set of object definitions to perform object classification in image frames. The local object classifier is arranged to detect an object in an image frame and determine whether to transmit image data for the detected object to a remote object classifier. In response to said determining, the local object classifier is arranged to transmit image data, derived from the image data representative of the image frame, to the remote object classifier. The local object classifier is also arranged to receive object data, representative of the detected object, from the remote object classifier.

Abstract: Disclosed is a subject recognizing apparatus and method. The method may include extracting feature points from a target image, respectively measuring movement information of each of a plurality of the extracted feature points, selectively grouping the extracted feature points into one or more groups based on the respectively measured movement information, determining a type of subject present in at least one group of the one or more groups based on at least a portion of the subject present in the at least one group, and recognizing a subject included in the target image based on the determined type of subject.

Abstract: Cancer can be an aggressive disease. It is critical to determine the most effective patient-specific treatment quickly. Exemplary embodiments use a data-driven approach to extracting tumor information from data obtain from Whole Slide Image that is uploaded through an interface. Exemplary embodiments generate the following information about a tumor from a biopsy slide using neural networks: annotated areas of relevant tissues, molecular subtype, and expression status of an important gene and include three steps: the segmentation of tumor features; prediction of molecular subtype; and prediction of gene methylation status from a WSI.

Abstract: Provided is a method (200) for generating a combined anatomical model of a heart. The method comprises receiving (220) a non-contrast agent-enhanced ultrasound image of a left ventricular region of the heart and receiving (240) a contrast agent-enhanced ultrasound image of the left ventricular region of the heart. Image registration (260) is performed on the respective non-contrast agent-enhanced and contrast agent-enhanced ultrasound images, such that the respective images are aligned. Combined segmentation (270) of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images is then carried out to generate the combined anatomical model. The combined segmentation (270) uses features of both of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images as target points. Further provided is a processor arrangement adapted to implement the method and an ultrasound system comprising the processor arrangement.

Abstract: In the field of obesity related disease, identification of patients with nonalcoholic steatohepatitis (NASH) would be useful to counsel them more intensively on diet and lifestyle changes and propose new pharmacological treatments. As a consequence, the inventors worked on a method for post-processing images of a region of interest of the liver for reconstructing a map of the internal magnetic susceptibility by using a Bayesian regularization approach to inverse the internal magnetic field. Such method can be implemented on computer and provides better results than other known methods for obesity related disease. This method may be applied for predicting that a subject is at risk of suffering from such disease, diagnosing a disease, identifying a therapeutic or a biomarker and screening compounds useful as a medicine.

Abstract: A method for processing breast tissue image data includes processing the image data to generate a set of image slices collectively depicting the patient's breast; for each image slice, applying one or more filters associated with a plurality of multi-level feature modules, each configured to represent and recognize an assigned characteristic or feature of a high-dimensional object; generating at each multi-level feature module a feature map depicting regions of the image slice having the assigned feature; combining the feature maps generated from the plurality of multi-level feature modules into a combined image object map indicating a probability that the high-dimensional object is present at a particular location of the image slice; and creating a 2D synthesized image identifying one or more high-dimensional objects based at least in part on object maps generated for a plurality of image slices.

Abstract: Digital watermarking is adapted for the variable data printing. A reference signal serves as a proxy for optimizing the embedding a watermark in a host image to be printed. Using the reference signal, embedding parameters are generated, which are a function of constraints such as visual quality and robustness of the machine readable data. Adjustments needed to embed a unique payload in each printed piece are generated using the embedding parameters. These adjustments are stored in a manner that enables them to be efficiently obtained and applied within the raster image processor or press during operation of the press. Various other methods, system configurations and applications are also detailed.

Abstract: Technology is provided for identifying concrete and/or asphalt (or other materials) in a multispectral satellite image that has multiple bands including a first set of bands from a first sensor and a second set of bands from a second sensor. The second sensor is at a different position on a focal plane as compared to the first sensor so that a single location depicted in the multispectral image will have been sensed at different times by the first sensor and the second sensor. The system identifies moving vehicles in the multispectral image and subsequently identifies sample pixels in the multispectral image that are near the moving vehicles. These pixels are high confidence samples of roads made of concrete and/or asphalt. Additional pixels are identified in the multispectral image having spectral characteristics that are within a threshold of spectral characteristics of the sample pixels. These additional pixels also depict concrete and/or asphalt.

Abstract: Systems and methods for providing surface contrast to display images for micro-surgical applications are disclosed. According to an aspect, an imaging system includes an OCT apparatus configured to capture OCT data of an eye. The OCT image data can include depth-resolved images of reflected light intensity over a period of time. The imaging system also includes a controller configured to determine movement of the eye relative to the OCT imaging field-of-view. The controller may also determine a location within the imaged portion of the eye which tracks with the eye movement. Further, the controller may apply a color gradient to render OCT images of the eye based on a position relative to the determined location of the eye tracking location. The controller may also control a display to display the OCT images with the applied color gradient.

Abstract: A radiometric camera and method for obtaining accurate radiometric readings of objects in a scene captured by a radiometric camera. The method comprises estimating a gamma drift coefficient based on an input thermal image, wherein the thermal image is captured by an infrared sensor; performing, based on the gamma drift coefficient and the input thermal image, a sensor temperature stabilization to provide an ambient-stabilized thermal image, wherein the ambient-stabilized thermal image is invariant to temperature changes of the infrared sensor; performing ambient calibration to estimate a scene temperature based on the ambient-stabilized thermal image; and measuring, based on the estimated scene temperature and a calibrated attenuation factor, a temperature of each of at least one object shown in the input thermal image, where the temperature of each of the at least one object is measured independently of the ambient temperature of the radiometric camera.