Abstract: A method and system for generating material decomposition images from plural-energy x-ray based imaging, the method comprising: modelling spatial relationships and spectral relationships among the plurality of images by learning features from the plurality of images in combination and one or more of the plurality of images individually with a deep learning neural network; generating one or more basis material images employing the spatial relationships and the spectral relationships; and generating one or more material specific or material decomposition images from the basis material images. The neural network has an encoder-decoder structure and includes a plurality of encoder branches; each of one or more of the plurality of encoder branches encodes two or more images of the plurality of images in combination; and each of one or more of the plurality of encoder branches encodes a respective individual image of the plurality of images.

Abstract: A system and computer-implemented method for analysing or monitoring a subject, the method comprising: identifying one or more objects of interest that have been segmented from a first image comprising any of a baseline scan, a follow-up scan or a reference image of the subject; identifying predefined landmarks of the objects; determining reference morphometries pertaining to the objects by performing morphometrics on the objects by reference to the landmarks; selecting one or more regions of interest (ROIs) from the objects according to the reference morphometries, comprising identifying respective locations of the ROIs relative to the reference morphometries; performing a first analysis of the one or more ROIs; performing at least one corresponding second analysis of the one or more ROIs in respectively at least one second image comprising any other of a baseline scan, a follow-up scan or a reference image; and generating a comparison of one or more results of the first analysis and one or more correspondin

Abstract: A computer-implemented image analysis method and system. The method comprises: quantifying one or more features segmented and identified from a medical image of a subject; extracting clinically relevant features from non-image data pertaining to the subject; assessing the features segmented from the medical image and the features extracted from the non-image data with a trained machine learning model; and outputting one or more results of the assessing of the features.