A bio imaging system includes a plurality of light emitters configured to irradiate light, and a plurality of sensors configured to detect light reflected by an internal tissue of a living body. Each sensor includes a plurality of photo-detecting elements having different absorption peak wavelengths in relation to each other.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information may include a pulse wave sensor configured to measure a pulse wave signal from an object; a force sensor configured to measure a first force exerted between the object and the pulse wave sensor; and a processor configured to: convert the first force into a second force, based on structure information of the object; and estimate the bio-information, based on the pulse wave signal and the second force.

A medical image display system displays a medical image including: a first display area for displaying a processed image in which at least one annotation indicating a result of detection of at least one anatomical structure shown in a captured image of a subject is superimposed on the captured image; and a second display area for displaying at least one structure label for identifying the at least one anatomical structure. The medical image display system includes: a display that displays the medical image; and a controller that changes, in response to an input received for one of (i) the at least one annotation and (ii) the at least one structure label from a user, a display form of the other of (i) the at least one annotation and (ii) the at least one structure label.

The present disclosure is directed to image reconstruction techniques used in magnetic resonance imaging. The techniques disclosed include calculating, for each of image reconstruction tasks to be performed, a calculation capability requirement value of the task by a magnetic resonance system, and determining whether the calculation capability requirement value of the task is greater than a predetermined threshold. If so, the task is sent to a shared image reconstruction apparatus, so that the shared image reconstruction apparatus performs the task. Otherwise, the task is sent to a local image reconstruction apparatus, so that the local image reconstruction apparatus performs the task. The techniques described herein facilitate a reduction in hardware cost required for image reconstruction in MRI.

A method of generating a 3D model includes: determining a 3D surface comprising a preparation tooth using a first plurality of intraoral scans generated by an intraoral scanner at a first time; receiving one or more additional intraoral scans of the preparation tooth that were generated by the intraoral scanner at a second time; determining a change to one or more portions of the preparation tooth between the three-dimensional surface and the one or more additional intraoral scans; determining, based at least in part on the change to the preparation tooth, whether to use a) the 3D surface, b) data from the one or more additional intraoral scans or c) a combination of the 3D surface and the data from the one or more additional intraoral scans to depict one or more portions of the preparation tooth; and generating the 3D model comprising the preparation tooth.

Reaction values indicating based on which areas in an input image a plurality of identification results representing the states of cells or tissues are judged are calculated, and differences between a plurality of reaction values are obtained to thereby calculate the degree to which cells or tissues in an area of interest likely are in each state. Thereby, each state of cells or tissues can be visualized at an accurate position in an area of interest; therefore, diagnostic assistance to pathologist becomes possible.

A method and system for determining an irradiation dose. The method for determining the irradiation dose includes determining a pixel having a biological feature in a region of interest in a radiotherapy simulated locating image by using a retrospective label; extracting a local radiomics feature based on the pixel having the biological feature, in which the local radiomics feature includes a grayscale histogram intensity, a tumor shape feature, a textural feature, a Laplacian of Gaussian filtering feature, and a wavelet feature; acquiring the local radiomics features to be measured; identifying a positive region having the local radiomics features to be measured based on the local radiomics features; performing three-dimensional reconstruction for the peripheral boundary of the positive region to determine a three-dimensional image.

A blood vessel cross-section function, a blood vessel pressure difference, and blood vessel stress may be established. A method for establishing a blood vessel cross-section function may include: obtaining image data in at least one cardiac cycle; selecting multiple feature times during the one cardiac cycle; generating spatial models of a target region blood vessel corresponding to each of the feature times according to the image data; establishing a first cross-section model of the target region blood vessel at each position along an axial direction of the target region blood vessel according to each of the spatial models; and establishing a corresponding first cross-section function according to each first cross-section model. Actual conditions of blood vessels may be reflected more accurately, and may provide an intermediate variable with less error for subsequent analysis operations, so that the later calculated value is closer to the actual value.

A computer-implemented method and system for selecting one or more regions of interest (ROIs) in an image. The method comprises: identifying one or more objects of interest that have been segmented from the image; identifying predefined landmarks of the objects; determining reference morphometrics pertaining to the objects by performing morphometrics on the objects by reference to the landmarks; selecting one or more ROIs from the objects according to the reference morphometrics, comprises identifying the location of the ROIs relative to the reference morphometrics; and outputting the selected one or more ROIs.

A multispectral imaging device in accordance with one embodiment comprises: an illumination unit for emitting LED lighting to the skin for skin illumination; and a detection unit for causing light reflected from the skin to be incident on a camera, wherein the illumination unit is arranged on the outer side of the detection unit, so that a path of the LED lighting emitted from the illumination unit is formed on the outer side of the detection unit, and a path of the light reflected from the skin is formed on the inner side of the detection unit.