Abstract: An apparatus (100) comprises at least one electronic processor (101, 113) programmed to: control an associated medical imaging device (120) to acquire an image (130); compute values of textural features (132) for the acquired image; generate a signature (140) from the computed values of the textural features; and at least one of: display the signature on a display device (105); and apply an artificial intelligence (AI) component (150) to the generated signature to output image artifact metrics (152) for a set of image artifacts and display an image quality assessment based on the image artifact metrics on the display device.

Abstract: A method of differentiating tissues in Magnetic Resonance Imaging (MRI) comprising applying a Magnetization Transfer (MT) pre-pulse in combination with the Diffusion Weighted Imaging (DWI) pulse sequence to obtain an image of the tissue under evaluation. Analysis maps and/or measurements are generated from the obtained image, from which values representative of the macromolecular content are computed for obtaining tissue differentiation.

Abstract: A method for adjusting a gain for reception of a magnetic resonance signal in a magnetic resonance imaging apparatus includes defining an initially set value of a slice thickness as slthick-original, defining a gain fit therefor as prescan-R1, and calculating a gain realtime-R1 fit for a changed value slthick-realtime of the slice thickness in accordance with: realtime-R1=(prescan-R1?(int)(log(slthick-realtime/slthick-original)+0.99)).