Embodiments disclosed herein include devices, systems, and methods for determining tear film break-up time and for detecting eyelid margin contact and blink rates, particularly for diagnosing, measuring, and/or analyzing dry eye conditions and symptoms. The apparatus and methods for determining tear film break-up time and for detecting eyelid margin contact and blink rates, particularly for diagnosing, measuring, and/or analyzing dry eye conditions and symptoms may employ ocular surface interferometry (OSI) devices or other imaging and display devices capable of imaging and displaying a picture of a patient's eye during tear film break-up time and blink rate related procedures.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

The invention provides for a medical imaging system (100, 300, 400, 700) comprising: a memory (110) for storing machine executable instructions (120) and a processor (106) for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to: receive (200) three-dimensional medical image data (122) comprising multiple slices; receive (202) an imaging modality (124) of the three-dimensional medical image data; receive (204) an anatomical view classification (126) of the three-dimensional medical image data; select (206) a chosen abnormality detection module (130) from a set of abnormality detection modules (128) using the imaging modality and the anatomical view classification, wherein at least a portion of the abnormality detection modules is a convolution neural network trained for identifying if the at least a portion of the multiple slices as either normal or abnormal; classify (208) the at least a portion of the multiple slices as normal or abnormal using the abnormality detection module; and choose (210) a set of selected slices (136) from the multiple slices according to a predetermined selection criteria (134) if a predetermined number of the multiple slices are classified as abnormal.

The system is configured to receive at least one digital image of a tissue sample of a patient; analyze the at least one received image for identifying tumor cells in a region of the at least one received image; analyze the at least one received image for identifying FAP+ areas in the region, each FAP+ area being a pixel blob representing one or more cells express the fibroblast activation protein—“FAP”; analyze the at least one received image for identifying distances between the identified tumor cells and their respective nearest FAP+ area; computing a proximity measure as a function of the identified distances; process the proximity measure by a classifier for generating a classification result, the classification result indicating if the tumor of the patient can be treated by a drug or drug-component that binds to FAP; and output the classification result.

A method for processing CT imaging data includes providing CT imaging data obtained at two x-ray energy levels in a first respiratory phase, preferably in an inhalation phase, of the subject and providing second CT imaging data obtained at two x-ray energy levels in a second respiratory phase, preferably in an exhalation phase, of the subject. The method may include reconstructing first regional perfusion blood volume (PBV) imaging data from the provided first CT imaging data, reconstructing second regional PBV imaging data from the provided second CT imaging data, reconstructing first virtual non-contrast (VNC) imaging data from the provided first CT imaging data, reconstructing second VNC imaging data from the provided second CT imaging data, determining a transformation function for registering the first and second reconstructed VNC imaging data, and registering the first and second reconstructed VNC imaging data by applying the transformation function.

A method for analyzing a real dental situation of a patient. The method includes steps, as follows, in succession. At an updated instant, acquisition of an updated image representing a real dental scene as observed by an operator. Determination of a virtual dental scene as a function of the representation of the real dental scene on the updated image. Presentation of the virtual dental scene in transparent mode and overlaid on the real dental scene, or display of the updated image on a screen and presentation of the virtual dental scene overlaid with the representation of the real dental scene on the updated image displayed on the screen, in transparent mode or not on the representation.

An image processing system (IPS) and related method. The system comprises an input interface (IN) for receiving an earlier input image (Va) and a later input image (Vb) acquired of an object (OB) whilst a fluid is present within the object (OB). A differentiator (Δ) is configured to form a difference image (Vd) from the at least two input images (Va,Vb). An image structure identifier (ID) is operable to identify one or more locations in the difference image. Based on a respective feature descriptor that describes a respective neighborhood around said one or more locations. An output interface (OUT) outputs a feature map (Vm) that includes the one or more locations.

There is provided an information processing device including: an analysis unit that specifies a movement in a region-of-interest relating to an embryo on a plurality of images using the plurality of images including the embryo captured in a time series manner during periods corresponding to a plurality of cell stages; a feature value calculation unit that calculates a movement feature value relating to an inside of the embryo on the basis of the specified movement; and a presentation control unit that controls a presentation of the movement feature values acquired during periods corresponding to at least two cell stages among the plurality of cell stages in order to evaluate a quality of the embryo.

Disclosed is 3D scanning using a 3D scanner configured for detecting when the scanned object is at rest in the scan volume of the 3D scanner.

A remaining time calculation unit calculates, based on a notification waiting time indicating a time from when a feature region is recognized to when a notification of a recognition result of the feature region is started and a count time counted by a time count unit, a remaining time until the notification of the recognition result of the feature region is provided. A display control unit displays on a monitor remaining time notification information obtained based on at least the remaining time.