Abstract: Introduced here are approaches to assessing whether digital features (or simply “features”) detected in digital images by detection models are representative of artifacts that can obscure actual pathologies. A diagnostic platform may characterize each digital feature detected in a digital image based on its likelihood of being an artifact. For instance, a digital feature could be characterized as being representative of an artifact caused by improper illumination, an artifact caused by a physical element that is adhered to the lens through which light is collected by an imaging device, or a pathological feature indicative of a disease.

Abstract: Introduced here are diagnostic platforms able to produce visualizations that visually highlight the pixels considered as evidence of a medical condition by a computer-aided diagnostic (CADx) model. A CADx model may be based on, for example, a multi-headed neural network designed to detect the presence/progression of multiple medical conditions. By explaining how each output is produced by the multi-headed neural network, a diagnostic platform can identify the latent variable (s) responsible for producing each output. For example, a diagnostic platform may create a multi-variable heatmap that visually distinguishes the pixels considered as evidence of each multiple condition by a multi-headed neural network.

Abstract: An ophthalmic imaging system has a specialized graphical user interface GUI to convey information for manually adjusting control inputs to bring an eye into alignment with the device. The GUI provides additional information such as laterality, visual alignment overlay aids, and live video feeds. The system further applies automatic gain control to fundus images, synchronizes itself with other ophthalmic systems on a computer network, and provides an optimized image load and display system.

Abstract: An ophthalmic imaging system has a specialized graphical user interface GUI to convey information for manually adjusting control inputs to bring an eye into alignment with the device. The GUI provides additional information such as laterality, visual alignment overlay aids, and live video feeds. The system further applies automatic gain control to fundus images, synchronizes itself with other ophthalmic systems on a computer network, and provides an optimized image load and display system.

Abstract: A method includes dynamically varying a data acquisition sample rate between at least two data acquisition sample rates during a contrast enhanced perfusion scan based on a level of contrast in image data generated during the scan. A system includes a computed tomography scanner and a console that controls the scanner based on a scan protocol, wherein the console dynamically varies a data acquisition sample rate of scanner during a contrast enhanced perfusion scan based on a level of contrast in the image data generated during the scan. A method for optimizing dose of a scan includes reducing a data acquisition sampling rate during at least a sub-portion of the scan in which a state of interest is not being scanned.

Abstract: A method includes receiving a signal indicative of a single user selected imaging protocol for scanning a patient. The imaging protocol includes parameters for two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures. The method further includes performing a single scan of the patient using the single user selected protocol. The method further includes generating a single set of image data for the two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures.

Abstract: A system includes an insufflator (120) and an imaging system (100). The imaging system (100) includes a console (118). The console (118) and the insufflator (120) are in communication. The console (118) controls operation of the insufflator (120).

Abstract: A method includes receiving a signal indicative of a single user selected imaging protocol for scanning a patient. The imaging protocol includes parameters for two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures. The method further includes performing a single scan of the patient using the single user selected protocol. The method further includes generating a single set of image data for the two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures.

Abstract: A method includes receiving a signal indicative of a single user selected imaging protocol for scanning a patient. The imaging protocol includes parameters for two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures. The method further includes performing a single scan of the patient using the single user selected protocol. The method further includes generating a single set of image data for the two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures.

Abstract: A method includes receiving a signal indicative of a single user selected imaging protocol for scanning a patient. The imaging protocol includes parameters for two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures. The method further includes performing a single scan of the patient using the single user selected protocol. The method further includes generating a single set of image data for the two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures.

Abstract: A method includes receiving imaging data generated by an imaging system (100) for a scan performed utilizing an imaging protocol with parameters that are based on a plurality of different imaging procedures; processing the imaging data using at least one algorithm corresponding to at least one of the plurality of different imaging procedures; and presenting the processed imaging data.

Abstract: A method includes dynamically varying a data acquisition sample rate between at least two data acquisition sample rates during a contrast enhanced perfusion scan based on a level of contrast in image data generated during the scan. A system includes a computed tomography scanner and a console that controls the scanner based on a scan protocol, wherein the console dynamically varies a data acquisition sample rate of scanner during a contrast enhanced perfusion scan based on a level of contrast in the image data generated during the scan. A method for optimizing dose of a scan includes reducing a data acquisition sampling rate during at least a sub-portion of the scan in which a state of interest is not being scanned.

Abstract: In an interventional ablation therapy planning system (10), an imaging system (30) generates an image representation of a target volume located in a patient. A segmentation unit (36) segments a planned target volume (42) of the target volume which is to receive the ablation therapy. A planning processor (40) which generates an ablation plan with one or more ablation zones (44, 48, 50, 52) which cover the entire planned target volume (42) with ablation therapy, each ablation zone has a predetermined ablation volume, the predetermined ablation zone being defined by moving an ablation probe (12) during ablation. A robotic assembly guides or controls the ablation probe (12) along a non-stationary motion path which is defined by a trajectory, velocity and/or acceleration, and a rotation to apply ablation therapy to the target volume according to the predetermined ablation zone(s).

Abstract: A system includes an insufflator (120) and an imaging system (100). The imaging system (100) includes a console (118). The console (118) and the insufflator (120) are in communication. The console (118) controls operation of the insufflator (120).

Abstract: A method includes receiving imaging data generated by an imaging system (100) for a scan performed utilizing an imaging protocol with parameters that are based on a plurality of different imaging procedures; processing the imaging data using at least one algorithm corresponding to at least one of the plurality of different imaging procedures; and presenting the processed imaging data.