A platform is provided for generating 3D models of a tumor segmented from a series of 2D medical images and for identifying from these 3D models, radiomic features that may be used for diagnostic, prognostic, and treatment response assessment of the tumor. The radiomic features may be shape-based features, intensity-based features, textural features, and filter-based features. The radiomic features are compared to remove sufficiently redundant features, thereby producing a reduced set of radiomic features, which is then compared to separate genomic data and/or outcome data to identify clinically and biologically significant radiomic features for diagnostic, prognostic, and treatment response assessment, other applications.

An apparatus, system and process for tracking and analyzing target person movements, captured while the target person is performing ordinary tasks outside of a medical context, for medical diagnosis and treatment review are described. The method may include constructing a model of a target person from three-dimensional (3D) image data of the target person performing an activity over a period of time. The method may also include tracking movement of the model of the target person in the 3D image data over the period of time, and detecting one or more motion features in the movement of the model of the target person that are relevant to diagnosis, treatment, care, or a combination thereof, of a potential chronic neurodegenerative or musculoskeletal medical condition. The method may also include computing a risk score associated with likelihood of the target person having the medical condition based on the detected motion features.

A dynamic analysis device includes a processor. The processor performs filtering on a dynamic image in a feature quantity space formed of two or more axes with feature quantities of the respective axes. The dynamic image is obtained by dynamic imaging performed by emitting radiation to an examination target site. Further, the processor calculates a feature quantity relating to a dynamic state of the examination target site based on the filtered dynamic image.

A medical image processing apparatus according to an embodiment includes an estimation circuitry and a tracking circuitry. The estimation circuitry is configured to estimate the activity of the myocardium across a plurality of images at different time phases from a group of images where a plurality of images containing a myocardium are chronologically arranged. The tracking circuitry is configured to set a search range for tracking the myocardium in the group according to the activity of the myocardium and perform the tracking.

Methods, systems, and storage media for determining a numerical classification of human skin color, determining one or more characteristics of skin based on images, and determining a personalized treatment plan for one or more skin conditions or issues are disclosed. The system can receive images of skin and access user profile information, such as biometric information, medical record information, and other clinically relevant information. The system can determine a classification of a skin color of the user using the image and the biometric information by providing the image and the biometric information as input to a skin color classifier. Using the skin color, the system can determine one or more characteristics of the skin in the image and, if needed, determine and provide at least one personalized treatment plan to a computing device of a user.

There is disclosed a device for imaging a body. In one arrangement, the device comprises a controller, storage storing electronic program instructions for controlling the controller, a display for displaying a user interface, and an input means. In one form, the controller is operable, under control of the electronic program instructions, to receive input via the input means, where the input comprises a first representation of the body, to process the first representation, to generate a second representation of the body on the basis of processing of the first representation, and to display the generated second representation via the display.

A dynamic analysis apparatus, including a processor which selects one or more frame images from a plurality of frame images of a dynamic image that is obtained by performing radiation imaging of a subject including a target site in a living body, recognizes a shape of a predetermined body part from each of the selected one or more frame images and calculates an evaluation value of the recognized shape of the body part.

The present system employs optical coherence tomography (OCT) or optical coherence microscopy (OCM) systems, including ultra-high resolution Gabor-domain optical coherence microscopy (GD-OCM), into a 3D flow imaging technique. This technique models the repeated scans as Gaussian latent variables, with the common variance representing both static tissue structure and dynamic blood flow, and the anisotropic unique variance representing tissue motion in specific frames. Since the motion generated variance is independent from that of the structure or the flow, by iteratively maximizing the combined log-likelihood probability of these two variances modeled through exploratory factor analysis, the unique variance (or the tissue motion) may be largely excluded. In the common variance, the dynamic blood flow may be separated from the static tissue structure, by integrating the factors that represent the relatively low levels of correlation. Compared to a direct differentiation of OCT or OCM scans, the present flow imaging algorithm improves the visualization of capillaries with reduced motion artifacts.

Methods and systems for generating a visualization of a surface of an internal body cavity, such as an internal organ like the bladder, are provided. The approach generally includes inserting an endoscope into an internal body cavity, acquiring a video of the tissue surfaces defining the internal body cavity, stitching video frames together to generate a panoramic map of the tissue surfaces defining the internal body cavity, and displaying the panoramic map.

The invention relates to a method for measuring the human heartbeat rate, comprising the steps of: 1) obtaining a video of the measured subject; 2) parsing the video into a series of image frames; 3) arranging the multiple generated image frames in sequential order; 4) detecting the position of the region of the face in each image; 5) obtaining the facial fluctuation frequency of the measured object according to the change of the position of the face region in the image frame system.