Abstract: A method includes accessing a digital pathology image that depicts tumor cells sampled from a subject. A plurality of patches may be selected from the digital pathology image, wherein each of the patches depicts tumor cells. A mutation prediction may be generated for each of the patches, wherein the mutation prediction represents a prediction of a likelihood that an actionable mutation appears in the patch. Based on the plurality of mutation predictions, a prognostic prediction related to one or more treatment regimens for the subject may be generated. The prognostic prediction may be based on determining one or more mutational contexts of the digital pathology image as an unknown driver or a tumor suppressor, an oncogene driver mutation, or a gene fusion.

Abstract: A method and a system for magnetic resonance imaging are provided. The method includes acquiring a magnetic resonance (MR) data set of an object by sampling only a portion of a k-space of the object. This sampled portion may be substantially triangle-shaped or be composed of multiple planes that extend through a point of origin of the k-space and are tangential to a common spherical cap in the k-space. An inverse Fourier transformation is then applied to the MR data set to transform the MR data set from the k-space to image space. A final MR image with a fan- or cone-beam geometry is then computed based on the transformed MR data set in image space.

Abstract: Methods for performing digital subtraction angiography of a region of interest of a patient are described herein. The methods include acquiring a filled image data set of the region of interest by x-ray imaging and creating an angiography image data set by subtracting a mask image data set from the filled image data set, wherein an x-ray imaging device for x-ray imaging and a further imaging device for at least one additional imaging modality are co-registered and operable to acquire image data in the same field of view, wherein the imaging devices are used to simultaneously acquire the filled image data set using the x-ray imaging device and an anatomy data set using the further imaging device and the mask image data set in derived from the anatomy data set in a conversion process, which converts additional imaging modality image data into virtual x-ray image data.

Abstract: A method and a system for magnetic resonance imaging are provided. The method includes acquiring a magnetic resonance (MR) data set of an object by sampling only a portion of a k-space of the object. This sampled portion may be substantially triangle-shaped or be composed of multiple planes that extend through a point of origin of the k-space and are tangential to a common spherical cap in the k-space. An inverse Fourier transformation is then applied to the MR data set to transform the MR data set from the k-space to image space. A final MR image with a fan- or cone-beam geometry is then computed based on the transformed MR data set in image space.

Abstract: Methods for performing digital subtraction angiography of a region of interest of a patient are described herein. The methods include acquiring a filled image data set of the region of interest by x-ray imaging and creating an angiography image data set by subtracting a mask image data set from the filled image data set, wherein an x-ray imaging device for x-ray imaging and a further imaging device for at least one additional imaging modality are co-registered and operable to acquire image data in the same field of view, wherein the imaging devices are used to simultaneously acquire the filled image data set using the x-ray imaging device and an anatomy data set using the further imaging device and the mask image data set in derived from the anatomy data set in a conversion process, which converts additional imaging modality image data into virtual x-ray image data.