Abstract: There is provided a method of performing a medical scan of a subject using a medical imaging system, the method comprising: a) initiating a medical scan session; b) performing, using the medical imaging system, a first image acquisition sequence during the medical scan session to obtain first image scan data; c) performing, using a computer system, image analysis on the first image scan data acquired during said first image acquisition sequence to identify one or more quantitative indicators of pathology and/or image quality; d) based on said identification of one or more quantitative indicators at step c), determining, using the computer system, whether any additional image acquisition sequences are required during said medical scan session; and, if so required: e) determining, using the computer system, a second image acquisition sequence based on the one or more quantitative indicators; and f) performing, using the medical imaging system, a second image acquisition sequence during the medical scan session

Abstract: Computer analysis of data sets representing images such as MRI images to achieve bias correction and image registration, each image including a bias in intensity within the image of unknown magnitude, is performed by: a) inputting a digital data set of a first image and a digital data set of a second image into a computer; b) calculating a deformation of said first image that transforms said first image into a transformed image that is an optimized approximation of said second image and c) simultaneously calculating and applying a bias correction which is applied to said first image and a bias correction which is applied to said transformed image such that each of the first image and the transformed image is individually corrected for bias therein. Generally, an average of the bias correction over the first image is equal and opposite to an average of the bias correction over said transformed image.

Abstract: Computer analysis of data sets representing images such as MRI images to achieve bias correction and image registration, each image including a bias in intensity within the image of unknown magnitude, is performed by: a) inputting a digital data set of a first image and a digital data set of a second image into a computer; b) calculating a deformation of said first image that transforms said first image into a transformed image that is an optimised approximation of said second image and c) simultaneously calculating and applying a bias correction which is applied to said first image and a bias correction which is applied to said transformed image such that each of the first image and the transformed image is individually corrected for bias therein. Generally, an average of the bias correction over the first image is equal and opposite to an average of the bias correction over said transformed image.