Abstract: Embodiments of the invention relate to a method of processing a medical image to remove one or more portions of the image corresponding to bone structures, the method comprising: receiving first image data representing a first, three-dimensional, medical image; processing the first image data to generate second image data representing a plurality of two-dimensional image channels each corresponding to a different slice of the first medical image; receiving the second image data at a neural network system; applying an attention mechanism at the neural network system to the second image data to generate an attention map representing one or more regions of interest; and determining, at least partly on the basis of the attention map, that one or more portions of the second image data represent a bone structure.

Abstract: A system for reconstructing magnetic resonance images includes a processor that is configured to obtain, from a magnetic resonance scanner, sub-sampled k-space data; apply an inverse fast fourier transform to the sub-sampled k-space data to generate a preliminary image; and process the preliminary image via a trained cascaded recurrent neural network to reconstruct a magnetic resonance image.

Abstract: A computer-implemented method is for providing quantitative airway information. In an embodiment, the method includes receiving and/or determining first medical image data of an airway segment; applying a first trained function to the first medical image data, to generate output data; determining the at least one quantitative airway information of the airway segment based on the output data; and providing the at least one quantitative airway information.

Abstract: A system for reconstructing magnetic resonance images includes a processor that is configured to obtain, from a magnetic resonance scanner, sub-sampled k-space data; apply an inverse fast fourier transform to the sub-sampled k-space data to generate a preliminary image; and process the preliminary image via a trained cascaded recurrent neural network to reconstruct a magnetic resonance image.

Abstract: Embodiments of the invention relate to a method of processing a medical image to remove one or more portions of the image corresponding to bone structures, the method comprising: receiving first image data representing a first, three-dimensional, medical image; processing the first image data to generate second image data representing a plurality of two-dimensional image channels each corresponding to a different slice of the first medical image; receiving the second image data at a neural network system; applying an attention mechanism at the neural network system to the second image data to generate an attention map representing one or more regions of interest; and determining, at least partly on the basis of the attention map, that one or more portions of the second image data represent a bone structure.