Abstract: Systems and methods are described to generate, using a first image generation technique, a first image based on the first image data, display the first image to an operator, receive, from the operator, one or more indications of features in the first image of the patient volume, generate, using a second image generation technique, a second image based on the first image data, perform automated feature extraction on the second image to automatically extract information associated with features of the patient volume, and output a feature report of the patient volume based on the one or more indications of features and the information associated with features.

Abstract: Systems and methods are described to generate, using a first image generation technique, a first image based on the first image data, display the first image to an operator, receive, from the operator, one or more indications of features in the first image of the patient volume, generate, using a second image generation technique, a second image based on the first image data, perform automated feature extraction on the second image to automatically extract information associated with features of the patient volume, and output a feature report of the patient volume based on the one or more indications of features and the information associated with features.

Abstract: A method for performing Photon Counting Computed Tomography (PCCT) using a combination of contrast agents includes configuring a PCCT device with a plurality of threshold values corresponding to a plurality of contrast agents. These contrast agents comprise a long-acting blood pool contrast agent and a nanoparticle contrast agent. The PCCT device is used to perform an imaging scan on an anatomical subject in the presence of the plurality of contrast agents to acquire image data. Next, the imaging data is processed into a plurality of datasets based on the plurality of threshold values. The datasets comprise a first dataset corresponding to the long-acting blood pool contrast agent, and a second dataset corresponding to the nanoparticle contrast agent.

Abstract: A system includes acquisition of an image of a patient volume, automatic determination of medical findings based on the image of the patient volume, automatic determination to assign the medical findings to a priority review queue, the priority review queue including medical findings to be reviewed while the patient remains proximate to the medical imaging scanner, reception of an authorization to acquire a second image of the patient volume based on the medical findings while the patient remains proximate to the medical imaging scanner, and acquisition of the second image of the patient volume while the patient remains proximate to the medical imaging scanner.

Abstract: Systems and methods to acquire first two-dimensional projection images of a patient volume using first imaging parameters, acquire second two-dimensional projection images of the patient volume acquired using second imaging parameters, generate, using a first image reconstruction technique, a first three-dimensional image based on the first two-dimensional projection images, receive one or more indications of features of the patient volume identified by an operator in the first three-dimensional image, generate, using a second image reconstruction technique, a second three-dimensional image based on the second two-dimensional projection images, perform automated feature extraction on the second three-dimensional image to automatically extract information associated with features of the patient volume, and generate a feature report of the patient volume based on the one or more indications of features and the information associated with features.

Abstract: Systems and methods to acquire first two-dimensional projection images of a patient volume using first imaging parameters, acquire second two-dimensional projection images of the patient volume acquired using second imaging parameters, generate, using a first image reconstruction technique, a first three-dimensional image based on the first two-dimensional projection images, receive one or more indications of features of the patient volume identified by an operator in the first three-dimensional image, generate, using a second image reconstruction technique, a second three-dimensional image based on the second two-dimensional projection images, perform automated feature extraction on the second three-dimensional image to automatically extract information associated with features of the patient volume, and generate a feature report of the patient volume based on the one or more indications of features and the information associated with features.

Abstract: A system includes acquisition of an image of a patient volume, automatic determination of medical findings based on the image of the patient volume, automatic determination to assign the medical findings to a priority review queue, the priority review queue including medical findings to be reviewed while the patient remains proximate to the medical imaging scanner, reception of an authorization to acquire a second image of the patient volume based on the medical findings while the patient remains proximate to the medical imaging scanner, and acquisition of the second image of the patient volume while the patient remains proximate to the medical imaging scanner.

Abstract: A method for performing Photon Counting Computed Tomography (PCCT) using a combination of contrast agents includes configuring a PCCT device with a plurality of threshold values corresponding to a plurality of contrast agents. These contrast agents comprise a long-acting blood pool contrast agent and a nanoparticle contrast agent. The PCCT device is used to perform an imaging scan on an anatomical subject in the presence of the plurality of contrast agents to acquire image data. Next, the imaging data is processed into a plurality of datasets based on the plurality of threshold values. The datasets comprise a first dataset corresponding to the long-acting blood pool contrast agent, and a second dataset corresponding to the nanoparticle contrast agent.