An image processing apparatus includes an acquisition unit configured to acquire first medical image data and second medical image data obtained by imaging a subject, an intermediate deformation information acquisition unit configured to acquire intermediate deformation information obtained by applying registration processing up to a predetermined stage in first registration processing including a plurality of stages to the acquired first medical image data and second medical image data, a determination unit configured to perform determination of a deformation abnormality with respect to the acquired intermediate deformation information, and a deformation unit configured to perform, in a case where the determination unit determines that there is the deformation abnormality, second registration processing different from the first registration processing with respect to the first medical image data and the second medical image data and calculate deformation information.

A method for analyzing a real dental situation of a patient. The method includes steps, as follows, in succession. At an updated instant, acquisition of an updated image representing a real dental scene as observed by an operator. Determination of a virtual dental scene as a function of the representation of the real dental scene on the updated image. Presentation of the virtual dental scene in transparent mode and overlaid on the real dental scene, or display of the updated image on a screen and presentation of the virtual dental scene overlaid with the representation of the real dental scene on the updated image displayed on the screen, in transparent mode or not on the representation.

Images can be generated with overlays indicating an amount of brain tissue damage based on the disruption of blood supply. Imaging data can be analyzed to determine perfusion parameters with respect to regions of the brain of an individual. The thresholds for the perfusion parameters with respect to the presence of damaged brain tissue can be based on a period of time elapsed since the onset of a biological condition disrupting blood flow to one or more regions of the brain of the individual. The imaging data can also be analyzed to determine measures of hypodensity with respect to regions of the brain of the individual. A likelihood of the measures of hypodensity corresponding to damaged brain tissue can also be determined based on the period of time elapsed since the onset of the biological condition.

Coherent light (e.g., laser light) is emitted into a cranium through an optical fiber. A tissue sample (e.g., red blood cells, blood vessels, brain tissue) within the cranium diffuses the coherent light. Different tissue sample motion quantities generate different coherent light interference patterns. An image of a coherent light interference pattern is captured with an image sensor coupled to an optical element. The speckle contrast of the image quantifies coherent light interference pattern. A waveform of sequentially captured speckle contrast values over time has characteristics that reflect intracranial blood flow health. If waveform characteristics indicate poor or questionable intracranial blood flow heath, a notification message is displayed, played, or otherwise transmitted.

Provided is a dynamic analysis apparatus that predicts a respiratory function value based on frame images showing dynamics of chest. The dynamic analysis apparatus includes a hardware processor that obtains a first lung size value of a removal target site and a second lung size value of a left or right lung field including the removal target site, calculates a proportion between the first and second lung size values as a size proportion, calculates a first feature amount concerning respiratory function of the left or right lung field including the removal target site and a second feature amount concerning respiratory function of the lung fields as a whole, calculates a proportion between the first and second feature amounts as a feature amount proportion, and calculates an expected rate of the respiratory function without the removal target site, based on a product of the size proportion and the feature amount proportion.

A jump counting method for jump rope is provided. The jump counting method comprises: S1, obtaining an original video data of a jump rope movement, and extracting an audio data and an image data from the original video data; S2, calculating the number of jumps of the rope jumper according to an audio information and an image information extracted from the audio data and the image data; and S3, outputting and displaying the calculation result.

A method for analysis of spine anatomy and stenosis is disclosed herein. The method includes preprocessing (3203) of images and then running segmentation models for each area of interest such as the foramen, disc, canal, vertebra (3206). In image post processing (3207), the system runs various heuristics to ensure accuracy (3208), computes areas (3209), and then runs a comparison model (3210). The report template produces HTML that is then converted to a PDF file of the final report (3214).

A method is provided herein that discloses receiving, by a processor, first image data comprising first bioluminescence data derived from an organism at a first time, receiving, by the processor, second image data comprising second bioluminescence data derived from an organism at a second time, comparing, by the processor, the first image data to the second image data, determining, by the processor, whether a peak light output event has occurred based on the comparison, and outputting, by the processor and to a display device, an indication that the peak light output event has occurred.

A system to provide health and wellness data, comprising a platform for placement; at least one imaging sensor associated with the platform for capturing images; and a processor adapted to analyze the images to determine health and wellness data is disclosed. A toilet for assessing health and wellness of a user, comprising a bowl supported by a base; a platform for placement of a user's feet; at least one imaging sensor mounted on the base; and a processor adapted to analyze the images to determine health and wellness is disclosed. A method for assessing health and wellness comprising acquiring one or more images of the foot a user; using a processor to analyze the one or more images for health and wellness factors; and making the results of the health and wellness analysis available to the user on one or more digital platforms is disclosed.

A method of facilitating a growth assessment for a cell line includes generating an image of a well that contains a medium that was inoculated with at least one cell of the cell line. The method also includes generating a down-sampled segmentation map comprising pixels that indicate an inferred presence or absence of a cell colony in corresponding portions of the well image. Generating the down-sampled segmentation map includes inputting the well image to a fully convolutional neural network having a plurality of convolutional layers. The method also includes (i) determining, by inputting colony size information (including the down-sampled segmentation map and/or a pixel count derived therefrom) to a cell growth assessment algorithm, a growth classification or score for the cell line, and causing a display of the growth classification or score, and/or (II) causing a display of the colony size information to facilitate a manual cell growth assessment.