The present invention relates to a device, system and method for less obtrusively determining a tissue characteristic of a subject, the device comprises a first control unit (11) configured to control an electromechanical transducer (31) by a first control signal (21) to transfer mechanical waves varying in a frequency range or with varying frequency content to an exposed tissue area of the subject; a second control unit (12) configured to control an electromagnetic radiation emitter (32) by a second control signal (22) to emit electromagnetic radiation towards the exposed tissue area of the subject; a radiation signal input (13) configured to obtain a radiation signal (23) indicative of electromagnetic radiation reflected from the exposed tissue area of the subject; and a processor (14) configured to determine a tissue characteristic signal (24) indicative of a tissue characteristic of the exposed tissue area of the subject derived from a frequency response or a frequency transfer function obtained from the obtained radiation signal in said frequency range or for said varying frequency content.

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

A method of generating corrected fluorescence data of concentrations of a targeted fluorophore in tissue of a subject includes administering first and second fluorescent contrast agents to the subject, the first contrast agent targeted to tissue of interest, the second agent untargeted. The tissue is illuminated with light of a first stimulus wavelength and first data is acquired at an appropriate emissions wavelength; the tissue is illuminated at a second stimulus wavelength and second data is acquired at a second emissions wavelength associated with the second agent, the first and second emissions wavelength differ. Difference data is generated by subtracting the second data from the first data. A system provides for stimulus and capture at multiple wavelengths, with image storage memory and subtraction code, to perform the method. Corrected data may form an fluorescence image, or is used to generate fluorescence tomographic images.

A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed.

Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

A gait motion display system including: a triaxial accelerometer, attached to the subject, that measures acceleration data of a subject in walking; an imaging unit that takes images of the subject in walking to obtain moving image data showing gait motions of the subject; a recording unit that records the acceleration data and the moving image data in synchronization with each other; an identification unit that converts the acceleration data recorded by the recording unit into horizontal displacement data and vertical displacement data, and identifies, from the moving image data, a representative image corresponding to a representative motion in a gait cycle, based on the horizontal displacement data or the vertical displacement data; and a display that displays an image illustration of the representative motion in the gait cycle, with the representative image identified by the identification unit.

The present disclosure provides a system and method for magnetic resonance imaging. The method may include obtaining reference information associated with at least two regions of interest (ROIs) of a subject. The method may also include obtaining a plurality of images associated with the at least two ROIs, the plurality of images being determined based on scanning data of the at least two ROIs generated in a single scan performed on the at least two ROIs by an imaging device. The method may further include identifying local images of each of the at least two ROIs from the plurality of images based on the reference information.

Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself—rather than using a priori definitions for what should constitute a measurable unit of action—identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.

Tumors can be treated with an alternating electric field. The size of cells in the tumor is determined prior to the start of treatment by, for example, biopsy or by inverse electric impedance tomography. A treatment frequency is chosen based on the determined cell size. The cell size can be determined during the course of treatment and the treatment frequency is adjusted to reflect changes in the cell size. A suitable apparatus for this purpose includes a device for measuring the tumor impedance, an AC signal generator with a controllable output frequency, a processor for estimating the size of tumor cells and setting the frequency of the AC signal generator based thereon, and at least one pair of electrodes operatively connected to the AC signal generator such that an alternating electric field is applied to the tumor.

With a diagnostic imaging support apparatus, a diagnostic imaging support method, and a diagnostic imaging support program, an optimum image for extracting a contour can be automatically selected from a superimposed image obtained by superimposing a plurality of images of different types. A diagnostic imaging support apparatus 1 includes: an accepting unit 22 that accepts a specification of the position of a predetermined defined region R on a superimposed image G obtained by superimposing a plurality of images of different types including a target image G0 that is a target on which a contour is created; a selection unit 23 that selects an image for extracting a contour on the basis of image information about regions R0, R1, and R2, in the plurality of images of different types, each corresponding to the accepted defined region R; and a contour extraction unit 24 that extracts the contour from the selected image.