Systems and methods for conducting image processing of wound images may include receiving from at least one image sensor associated with a mobile communications device a first and a second images of a wound. The first image is captured at an outset of a medical treatment and the second image is captured at least a day after applying the medical treatment to the wound. The method may further include analyzing data associated with the first and second images to determine a condition of the skin feature. The method may also include determining an action to alter the medical treatment based on the condition of the wound. Then, the method may include initiating a remedial measure associated with the determined action to increase effectiveness of the medical treatment.

A method and system of diagnosing a medical condition of a target area of a patient using a mobile device are provided. One or more magnetic field images of a target area of a patient are received. One or more hyperspectral images of the target area of the patient are received. For each of the one or more magnetic field images and the one or more hyperspectral images, a three-dimensional (3D) position of the mobile device is tracked with respect to the target are of the patient. A 3D image of the target area is generated based on the received one or more magnetic field images, one or more hyperspectral images, and the corresponding tracked 3D position of the phone with respect to each image. A medical condition of the target area is diagnosed or monitored based on the generated 3D image.

Various aspects of the present disclosure generally relate to a multispectral sensor device. In some aspects, a sensor device may obtain, from image data collected by a sensor of the sensor device, first image data regarding a first measurement location of a measurement target, and may obtain, from the image data, second image data regarding a second measurement location of the measurement target, wherein the first measurement location and the second measurement location are sub-surface measurement locations within the measurement target. The sensor device may determine, based on the first image data and the second image data, a pulse transit time measurement, and provide information identifying the pulse transit time measurement. Numerous other aspects are provided.

A dynamic analysis apparatus includes a hardware processor. The hardware processor is configured to perform the following, calculate a prediction rate multiplied by a respiratory function value of the subject in predicting the respiratory function value when an exclusion target portion is excluded; obtain input of the exclusion target portion in an anatomical unit from the input unit, based on the anatomical unit, specify a partial region of the lung field in which a characteristic amount relating to a respiratory function in the plurality of frame images is calculated, calculate the characteristic amount related to the respiratory function in the partial region of the lung field specified from the plurality of frame images and the characteristic amount related to the respiratory function of an entire lung field, and calculate the prediction rate based on a characteristic amount ratio which is a ratio of the two calculated characteristic amounts.

An optimized method and system to compute the dose to a patient (2) given a captured integrated exit-transit image (5) of the radiation rays (4) traveling from the source of x-rays (1) through the patient (2) to the imaging device (3) to product the exit-transit image (5). Each radiation field image (5) is transformed (6,8,10,12) to multiple images (7,9,11,13) for each phantom thickness (26) that was measured with the imaging device (3) for a range of field sizes (21). Given the water equivalent path (22) through the patient for a ray (4) reaching a pixel (15, 16), the final pixel value (19) is interpolated from the images (9, 11) that bracket the water equivalent path through the patient (22). Adaptive feedback calibration measures are carried out effectively ameliorate the detrimental effects of off axis attenuation of pixel values.

A platform for evaluating medical information and method for using the same are described. In one embodiment, the method comprises: monitoring, by a medical image management system, for a first indication of a content change at one or more data sources; determining, in response to the first indication, which of a plurality of image analysis engines is to analyze at least one image of one or more new medical images associated with the content change based on one or both of information accompanying the one or more images or results of applying body part detection on the at least one image; sending a first notification to start image analysis on the at least one image of the one or more medical images, the first notification being sent to each image analysis engine in a set of one or more image analysis engines determined to analyze the at least one image of the one or more new medical images; receiving a second indication that image analysis results are available from the set of one or more image analysis engines; and sending a second notification to subscribers to indicate availability of image analysis results for access and display thereby.

There is provided a computer implemented method for detection of likelihood of malignancy in an anatomical image of a patient for planning treatment thereof, comprising: receiving a pair of images that are either of a same patient or from two different patients, wherein the pair of images comprises anatomically corresponding anatomical images each depicting internal anatomical structures of the patient, feeding the pair of images into a model, outputting by the model, an indication of whether the pair of images are of a same patient or not, and generating an indication of likelihood of malignancy when the model wrongly outputs that the pair of images are not of the same patient, when in fact the pair of images are of the same patient, wherein treatment of the patient is planned according to the indication of likelihood of malignancy.

A method for decomposing noise into white and spatially correlated components during MR thermometry imaging includes acquiring a series of MR images of an anatomical object and generating a series of temperature difference maps of the anatomical object. The method further includes receiving a selection of a region of interest (ROI) within the temperature difference map and estimating total noise variance values depicting total noise variance in the temperature difference map. Each total noise variance value is determined using a random sampling of a pre-determined number of voxels from the ROI. A white noise component and a spatially correlated noise component of the total noise variance providing a best fit to the total noise variance values for all of the random samplings are identified. The white noise component and the spatially correlated noise component are displayed on a user interface.

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes upon a first contrast injection, processing acquired projection data of a subject to measure a contrast signal of the first contrast injection, estimating a time when a venous return to baseline (VRTB) of the first contrast injection is to occur based on the contrast signal, and commanding initiation of a second contrast injection at the estimated time.

The disclosure provides for a method for generating an ultrasound image that includes transmitting, by a plurality of transmitters in a transducer, at least two transmit beams at different angles, where at least parts of the transmit beams cover an overlapping region, and receiving, by a plurality of sensors of the transducer, reflected signals of the transmit beams. The method further comprises calculating channel coherence for the received signals to produce one or more channel coherence images, and calculating transmit coherence for the received signals to produce one or more transmit coherence images. The information from at least one of the channel coherence images and at least one of the transmit coherence images are combined to identify moving objects. The received signals from different transmits in overlapping regions are then processed to produce a final image that is compensated for the moving objects.