From a plurality of medical images in time phases, a target site is extracted t least one medical image, a reference point is set on each of a target-site side, and a periphery side of the target site which are on across from each other over an outline of the extracted target site, and movement information for the reference points is calculated.

Embodiments herein disclose computer-implemented methods, computer program products and computer systems for performing a diagnostic assessment. The method may include receiving image data of a current screening image, prior screening image, current diagnostic image, or prior diagnostic image, each image corresponding to a view type. The method may include processing the image data using a trained model to determine first model output data; determining first diagnosis data associated with a first confidence score; determining patch data representing a difference between the prior screening image and the current screening image; identifying a location corresponding to the difference; and determining the patch data satisfies a condition. The method may further include receiving additional image data of diagnostic images corresponding to a second type of view, processing the additional image data to determine second model output data; and determining second diagnosis data associated with a confidence score greater than the first confidence score.

Techniques are provided for improving image data quality, such as in functional imaging follow-up studies, using reconstruction, post-processing, and/or deep-learning enhancement approaches in a way that automatically improves analysis fidelity, such as lesion tracking fidelity. The disclosed approaches may be useful in improving the performance of automatic analysis methods as well as in facilitating reviews performed by clinician.

A method of assessing spinal column stability involves receiving image data corresponding to a spinal column of a patient; determining, based on the image data, a material strength of bony anatomy in at least a portion of the spinal column; completing a first stability assessment of the spinal column, based at least in part on the determined material strength; modifying the image data to simulate removal of bony anatomy or soft tissue from the spinal column to yield modified image data; and completing a second stability assessment of the spinal column, based at least in part on the determined material strength and the modified image data.

The present disclosure relates to a system and method for image registration and image subtraction. The technique includes perform acquiring data related to the image processing, performing a pre-processing of the images, performing an image registration, performing an image subtraction, performing a post-processing of the images and managing storage of the data.

An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

An information processing system includes one or more processors; a receiving unit configured to receive a divide instruction for dividing first medical information corresponding to a first display image representing a target region to extract a part of details of the first medical information if the first medical information and the first display image are displayed in association with each other on a display unit; and a display processing unit configured to, if the divide instruction has been received, display the part of details on the display unit newly as second medical information that is different from the first medical information and to display a second display image representing a target region corresponding to the part of details in association with the second medical information on the display unit.

An image registration device includes: an image acquisition unit that acquires a plurality of images; a divided region setting unit that sets divided regions by dividing each registration processing target of the plurality of images; a pixel value conversion method determination unit that determines, for each set of divided regions set at the same position of the respective registration processing targets, a pixel value conversion method for each divided region based on a pixel value of each divided region of the set; a pixel value conversion unit that performs pixel value conversion within each divided region of the set of divided regions using the determined pixel value conversion method for each divided region; and a registration processing unit that performs registration processing on the plurality of images subjected to pixel value conversion.

A method of using long wave infrared thermography (LWIT) to quantify the characteristic temperature changes associated with infected wounds to accurately confirm the existence of or absence of infection.

A method comprises providing a current state image and at least one reference image, taken from a similar angle range. The image and the at least one reference image are superimposed and a visual representation visualizing the relation between the image and the reference image is provided in order to track displacements of the bone during subsequent operation steps. A system is provided which can use the image data to track displacements and determine deviation from a current state of the elements in question to a target state.