A method to adjust or tune mechanical settings of a mammography apparatus comprising an x-ray source, a paddle and a detector with a detector cover, wherein before executing an x-ray measurement a patient's breast is placed and compressed between the detector cover and the paddle, wherein prior to the x-ray measurement reaction forces between the mammography apparatus and the patient's breast are minimized. The invention relates further to a mammography apparatus comprising an x-ray source, a paddle and a detector with a detector cover, which apparatus is provided with at least one weighing means to measure the downwards forces exerted by (the part of) the apparatus above the weighing means towards the ground.

An optical system operating in the near or short-wave infrared wavelength range identifies an object based on water absorption. The system comprises a light source with modulated light emitting diodes operating at wavelengths near 1090 and 1440 nanometers, corresponding to lower and higher water absorption. The system further comprises one or more wavelength selective filters and a housing that is further coupled to an electrical circuit and a processor. The detection system comprises photodetectors that are synchronized to the light source, and the detection system receives at least a portion of light reflected from the object. The system is configured to identify the object by comparing the reflected light at the first and second wavelength to generate an output value, and then comparing the output value to a threshold. The optical system may be further coupled to a wearable device or a remote sensing system with a time-of-flight sensor.

Method, system and apparatus (10) for capturing eye/pupil movement(s). Wearable apparatus (10) includes image capture means (12,18), a light source (16) to illuminate the eye(s). Video recordings can be stored in memory (20) and/or transmitted to a remote location. The apparatus (10) can include on-board image processing. Pupil shape and/or position can be determined e.g. from glints (28). Direction and speed of eye motion can be determined. Head movement (50) and eye motion (52) measurements can be obtained. Measurement by head movement sensors (32), body sensors (34) and/or environment sensors (38) (e.g. gravity) can be factored in to an assessment of the user's condition.

A method of demonstrating the impact of a treatment on a surface comprising the steps of: i optionally imaging at least one untreated surface ii applying at least one treatment to the surface(s)such that if step i) is not performed at least two different surfaces are treated with differing treatments, iii imaging the treated surface(s) to create an image; iv converting the imaging data into a format suitable to create a magnified image on a 3D printer; v producing a 3D model of each of the imaged surface(s).

A method for computing patient-specific hemodynamics. The method includes receiving three dimensional imaging data of a patent, extracting anatomical data from the three dimensional imaging data, calculating velocity and pressure fields corresponding to the extracted anatomical data, and calculating displacement and velocity of extracted solid particles corresponding to the anatomical data. The anatomical data comprises an anatomical boundary.

A method for optimizing initial discriminating information extracted from a two-dimensional image of the patient dental arches, referred to as “acquired image”, by a three-dimensional digital reference model of at least one portion of a patient arch, the method including the steps: C1. assessing quality of the initial discriminating information and quality threshold, filtering to keep only the initial discriminating information that has quality higher than the quality threshold, and defining “the discriminating information to be tested” as the initial discriminating information selected; C2. testing consistency between the discriminating information to be tested and reference model; C3. assessing test result and, in accordance with the assessment: adding discriminating information that was not kept to the discriminating information to be tested and/or deleting discriminating information from the discriminating information to be tested, and then returning to step C2. or; defining the optimal discriminating information as the discriminating information to be tested.

A CFD-based diagnostic system can be used as a non-invasive diagnostic and monitoring tool for ECAC, central airway obstruction diseases, OSA and airway stenosis. The process is expected to reduce the time of diagnosis, number of tests, and hospitalization time.

A method of forming a probability map is disclosed. According to one embodiment, a method may include: (1) obtaining multiple measures of multiple imaging parameters for every stop of a moving window on an image, wherein two neighboring ones of the stops of the moving window are partially overlapped with each other; (2) obtaining first probabilities of an event for the stops of the moving window by matching the measures of the imaging parameters to a classifier; and (3) obtaining second probabilities of the event for multiple voxels of a probability map based on information associated with the first probabilities.

Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.

A method for distinguishing between types of intraoral areas of interest (AOIs) includes receiving or generating a first 3D model comprising teeth; receiving or generating a second 3D model comprising the teeth; comparing the first 3D model to the second 3D model; determining a difference between the first 3D model and the second 3D model at a dental site comprising a tooth; determining an intraoral AOI that is associated with the difference; determining whether the difference comprises a first type of change indicative of a first type of intraoral AOI or a second type of change indicative of a second type of intraoral AOI; and responsive to determining that the difference comprises the first type of change, determining that the intraoral AOI is the first type of intraoral AOI and generating an indicator of the first type of intraoral AOI for the tooth.