Abstract: The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.

Abstract: The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.

Abstract: The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.

Abstract: The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.

Abstract: An imaging system, such as a DBT system, is provided that is capable of providing processing of an image from initial generation/reconstruction of the image through the review of the image by a radiologist or other practitioner that produces images optimized for the particular task/process performed using the images. The task/review that the radiologist is performing on the processed or reconstructed image can be modeled with regard to the initial generation of the processed or reconstructed images from the raw images or the model considerations can be retroactively applied and back propagated through the image processing performed by the system. These modeling considerations that can take the form of an indicator of clinical performance is/are used by the system to optimize and produce an image(s) that best represents the items in the image necessary for an accurate diagnosis of the patient when reviewed by the radiologist.

Abstract: A method of obtaining x-ray images includes controlling operation of an automatic injector to inject a contrast agent into a patient at a predetermined time, synchronizing operations of an x-ray imaging system with the operation of the automatic injector, and obtaining images of a region of interest of the patient during arterial and diffusion phases of the contrast agent.

Abstract: Abstract systems and methods of biopsy control include reconstructing a 3D volume from a plurality of tomosynthesis projection images and producing a plurality of synthetic stereo images from the plurality of tomosynthesis projection images. At least the synthetic stereo images are presented on a graphical display to a clinician to facilitate at least one input of a biopsy location for biopsy control.

Abstract: In the present invention, an image review method and system for performing the method is provided to facilitate the review of image volumes obtained in different imaging modalities and to evaluate the correlation between findings in the respective volumes in an easy to review manner compared with prior art systems and processes. The method and system of the invention provides simulated or actual combined or fused images or representations of registered images obtained in each imaging modality to simplify and accelerate the review of multi-modal breast imaging volumes, in particular when correlation of information between the two modes, including but not limited to, LE and DE, DBT and ABUS, DE and ABUS, etc., is important to evaluate.

Abstract: An imaging system, such as a DBT system, is provided that is capable of providing processing of an image from initial generation/reconstruction of the image through the review of the image by a radiologist or other practitioner that produces images optimized for the particular task/process performed using the images. The task/review that the radiologist is performing on the processed or reconstructed image can be modeled with regard to the initial generation of the processed or reconstructed images from the raw images or the model considerations can be retroactively applied and back propagated through the image processing performed by the system. These modeling considerations that can take the form of an indicator of clinical performance is/are used by the system to optimize and produce an image(s) that best represents the items in the image necessary for an accurate diagnosis of the patient when reviewed by the radiologist.

Abstract: A method of obtaining x-ray images includes controlling operation of an automatic injector to inject a contrast agent into a patient at a predetermined time, synchronizing operations of an x-ray imaging system with the operation of the automatic injector, and obtaining images of a region of interest of the patient during arterial and diffusion phases of the contrast agent.

Abstract: A method for monitoring an amount of a contrast agent within an object is provided. The method includes obtaining contrast data from one or more images of an object via an imaging device. The contrast data corresponds to the contrast agent. The method further includes calculating a measured amount of the contrast agent for each of the one or more images by applying a kinetic model to the contrast data, and generating a predictive curve of the amount of the contrast agent via the kinetic model. The kinetic model generates the predictive curve based at least in part on the measured amount of the contrast agent for each of the one or more images.

Abstract: In the present invention, an image review method and system for performing the method is provided to facilitate the review of image volumes obtained in different imaging modalities and to evaluate the correlation between findings in the respective volumes in an easy to review manner compared with prior art systems and processes. The method and system of the invention provides simulated or actual combined or fused images or representations of registered images obtained in each imaging modality to simplify and accelerate the review of multi-modal breast imaging volumes, in particular when correlation of information between the two modes, including but not limited to, LE and DE, DBT and ABUS, DE and ABUS, etc., is important to evaluate.

Abstract: In the present invention, an image review method and system for performing the method is provided that enriches the information displayed in the reference image or synthetic views and/or slabs reviewed by the physician with colored layers of information obtained from an image volume and merged with the reference image, slabs and/or synthetic views. The colored layer enhancement of the reference image, slabs and/or synthetic views highlights the colored areas of interest or features from the image volume in the slabs and/or synthetic views in a manner that prevents the features from becoming lost due to tissue superposition effects or other issues with the combination of the colored layers and reference image to form the displayed combined images.

Abstract: Abstract systems and methods of biopsy control include reconstructing a 3D volume from a plurality of tomosynthesis projection images and producing a plurality of synthetic stereo images from the plurality of tomosynthesis projection images. At least the synthetic stereo images are presented on a graphical display to a clinician to facilitate at least one input of a biopsy location for biopsy control.

Abstract: A method of processing X-ray images of a breast (B), the method comprising the steps of —generating (GEN3DV) a 3D volume from a plurality of X-ray images, —processing (DETMC) the 3D volume and/or the plurality of X-ray images, —computing (DETMC-CTR), for each region of interest in the 3D volume, a 3D characteristic position of the region of interest, —computing (CALCTGT) at least one needle target 3D position from a plurality of said computed 3D characteristic positions, —associating (SELIMG-TGT) each needle target position with a target image, —displaying (DISP-IMG) a slice image on a graphical interface, and —if the current slice image is a target image, displaying (DISP-TGT) on the graphical interface a target marker indicating each needle target position associated with the displayed current slice image.

Abstract: A method of processing X-ray images of a breast (B), the method comprising the steps of —generating (GEN3DV) a 3D volume from a plurality of X-ray images, —processing (DETMC) the 3D volume and/or the plurality of X-ray images, —computing (DETMC-CTR), for each region of interest in the 3D volume, a 3D characteristic position of the region of interest, —computing (CALCTGT) at least one needle target 3D position from a plurality of said computed 3D characteristic positions, —associating (SELIMG-TGT) each needle target position with a target image, —displaying (DISP-IMG) a slice image on a graphical interface, and —if the current slice image is a target image, displaying (DISP-TGT) on the graphical interface a target marker indicating each needle target position associated with the displayed current slice image.

Abstract: A method to generate a final image with a medical imaging system, wherein the final image highlights suspect regions in a tissue matrix and wherein the final image is generated from a first image and from previously acquired images of the tissue matrix is provided. The method comprises: creating a 3D map of suspicion from the previously acquired medical images; generating a 2D map of suspicion by projecting all or part of the 3D map of suspicion onto a plane from a point reproducing the conditions of acquisition of the first image; and generating a final 2D image of the tissue matrix from the first image and/or from the 2D map of suspicion, wherein the final 2D image highlights suspect regions in the tissue matrix.

Abstract: A method for processing radiological images of a region of interest in a patient, the method comprising obtaining a set of images of the region of interest comprising at least two images, acquired using a medical imaging system, each image of the set of images being acquired at one X-ray energy, determining at least one recombined image by recombining a plurality of images forming a sub-set of images of the set of images for each recombination, segmenting at least one image from among the set of images, to detect and isolate at least one zone of the region of interest, and merging with the at least one recombined image whereby the at least one zone of the region of interest derived from segmentation is merged so as to visualize the at least one zone in the recombined image.

Abstract: A derivation procedure for a three-dimensional digital mask from a series of two-dimensional masks in a radiographic device containing a source (S) of X-rays, a means of recording and a volume of interest hat contains the object to be X-rayed located between the source (S) and the means of recording consists of an extrapolation of each mask M?2 includes determining a last segment 1fin beyond the limits of the means of recording; and working out a two-dimensional mask M? associated with a position S? of the source, for any angle ? included in the angular range ?2 to ?1 (a position close to ?2). For every parallel segment 1 located between segment d (or d? respectively) and segment 1fin, the procedure further includes deriving a three-dimensional mask (21) of the object for each voxel at the intersection of plane P1?2 and the volume of interest; and projecting the three-dimensional mask onto the segment 1.

Abstract: A method to generate a final image with a medical imaging system, wherein the final image highlights suspect regions in a tissue matrix and wherein the final image is generated from a first image and from previously acquired images of the tissue matrix is provided. The method comprises: creating a 3D map of suspicion from the previously acquired medical images; generating a 2D map of suspicion by projecting all or part of the 3D map of suspicion onto a plane from a point reproducing the conditions of acquisition of the first image; and generating a final 2D image of the tissue matrix from the first image and/or from the 2D map of suspicion, wherein the final 2D image highlights suspect regions in the tissue matrix.