Disclosed is a method of measuring a physiological parameter in a contactless manner. The method includes acquiring a plurality of image frames for a subject, acquiring a first color channel value, a second color channel value, and a third color channel value for at least one image frame included in the plurality of image frames. The method further includes calculating a first difference and a second difference on the basis of the first color channel value, the second color channel value, and the third color channel value for at least one image frame included in the plurality of image frames. The first difference represents a difference between the first color channel value and the second color channel value for the same image frame, and the second difference represents a difference between the first color channel value and the third color channel value for the same image frame.

A blood vessel status evaluation method and a blood vessel status evaluation device are provided. The method includes: obtaining at least one angiography image corresponding to a target user; selecting a target image from the angiography image; determining a blood vessel type of the target user according to a distribution status of a target blood vessel pattern in the target image; establishing a blood vessel topology structure corresponding to the target blood vessel pattern which includes information of a width of a blood vessel in the target blood vessel pattern and information of an intersection of blood vessel in the target blood vessel pattern; and automatically analyzing a blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure.

Embodiments of the present disclosure relate to methods, apparatus, and computer readable medium for detecting an immune factor responsive to a contrast agent. In some embodiments, pre-contrast image data, early timepoint image data, and delayed timepoint image data are received. In some embodiments, an early timepoint map is generated using a comparison of the pre-contrast image data to the early timepoint image data, and a delayed timepoint map is generated using a comparison of the pre-contrast image data to the delayed timepoint image data, where the early timepoint map represents intravascular contrast, the delayed timepoint map represents the intravascular contrast and extravascular contrast, and the extravascular contrast indicates the immune factor. In some embodiments, a combined immune factor map is generated by voxel-wise subtraction of the early timepoint map from the delayed timepoint map.

A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastric cancer, in a subject are disclosed. The diagnostic system includes a processor that can obtain various images of a stomach of the subject including wavelength images and generate difference images from the wavelength images. The processor can compare the subject images with reference images representative of different severity levels of gastric cancer, or can input the subject images into a learned model trained using the reference images stored in the database to extract a feature pattern corresponding to a severity of gastric cancer to diagnose the subject as having a particular severity level of gastric cancer.

A computer-implemented method for providing a vascular image data record includes receiving a plurality of projection-X-ray images recorded in temporal succession. The plurality of projection-X-ray images at least partially map a common examination region of an examination object. The plurality of projection-X-ray images map a temporal change in the examination region of the examination object. A change image data record is determined in each case based on at least one region of interest of the plurality of projection-X-ray images. The at least one region of interest includes a plurality of image points. The change image data record in each case includes a time-intensity curve for each of the image points. The vascular image data record is generated based on the change image data record, and the vascular image data record is provided.

A method for precisely applying chemicals targeted by digital maps developed from remotely sensed data, including: obtaining EOS data through a growing season of a crop growing in a field; processing the EOS data to reflectance values; removing error-inducing effects of atmospheric alteration from the processed EOS data; calculating from the processed EOS data a crop performance index that indicates one or more poor performing areas of the field; generating one or more maps of the crop performance index to allow a user to determine whether each of the one or more poor performing areas of the field are due to biological pests instead of topographic or soil constraints in discrete locations of the field; guiding the user to the one or more poor performing areas of the field using the one or more maps to allow the user to scout the one or more poor performing areas of the field to confirm and identify the biological pests; and providing guidance for a chemical application at the one or more poor performing areas that were confirmed as having the biological pests. Other embodiments are provided.

An apparatus to measure the time constant of microbolometer-type uncooled thermal imaging camera pixels on a per-pixel basis has been developed. The apparatus utilizes a longwave infrared laser and acousto-optic modulator as a periodic light source to excite the pixels of the camera's focal plane array. The image frames captured by the camera during excitation are then processed and the data fit using the algorithms developed to find the time constant for each pixel in the array.

A method and system for crop health change monitoring is provided. The method includes acquiring a companion image of a crop growing within a field at a first point in time, acquiring a master image of the crop growing within the field at a second point in time, and computing, using a processor, vegetation indices using the master image and the companion image for subsequently determining regions of change within the master image. An alert condition is determined if change within one or more of the regions of change is sufficient to meet defined criteria. If a minimum field area threshold is met, a modulation coefficient is applied to the defined criteria that determines the alert condition. The coefficient reduces area-based thresholds used in health detection in a manner proportional to the size of the agricultural field of interest.

Provided is a medical image analysis system including: an acquirer that acquires a medical image obtained by imaging of a patient to be diagnosed; an estimator that estimates an index value indicating a respiratory function from the acquired medical image; and a hardware processor that causes an output unit to output the estimated index value.

Machine readable instructions, a data processing apparatus and a method are provided to determine one or more properties of motor units of skeletal muscle by analyzing a time series of Magnetic Resonance, MR, images representing a slice of a body part to identify signal voids in one or more images of the series. A comparison of at least one characteristic of the identified signal voids in the images is performed with a control data set of MR images produced by applying a controlled stimulus to a motor nerve to establish inherent characteristics of signal voids corresponding to motor units of skeletal muscle. Properties of candidate motor units are analyzed to confirm or reject them as motor units and at least one of: a firing frequency of at least one of the confirmed motor units, a size of at least one of the confirmed motor units, a number of confirmed motor units in a given image area or a shape of at least one of the confirmed motor units is determined.