Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system is architectured around a table of components to manage and control the system.

Abstract: A computer-implemented method includes causing a computer system to execute instructions for providing a first data set and a second data set, each derived from a common object, providing a first tomographic image object associated with the first data set providing a second tomographic image object associated with the second data set, generating a multimodal pixon map for pixon smoothing on the basis of the first data set, the first tomographic image object, the second data set, and the second tomographic image object, and outputting the multimodal pixon map.

Abstract: Methods of nuclear imaging can include, in a pre-scan, detecting radiation emitted from a patient in a first plurality of viewing angles including at least a first viewing angle and a second viewing angle, generating nuclear data from the detected radiation, reconstructing a first nuclear event distribution from the nuclear data, selecting a region of interest, determining a first signal-to-noise ratio of the first nuclear event distribution within the region of interest, selecting a second plurality of viewing angles not including the first viewing angle, reconstructing a second nuclear event distribution from the nuclear data associated with the second plurality of viewing angles, determining a second signal-to-noise ratio of the second nuclear event distribution within the region of interest, determining that the second signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio, and nuclear imaging the patient by detecting nuclear data based on a nuclear imaging process that is based

Abstract: A method for obtaining nuclear medical images of a patient in which one or more first images are obtained. The one or more first images can be used to identify one or more regions of interest for subsequent images that focus on the regions of interest. The process can occur iteratively until it is determined, either by a physician or a computer program that sufficient images have been obtained to identify lesions or other pathology within a reasonable level of confidence.

Abstract: An imaging system includes interleaved emission detectors and transmission detectors. Emission detectors and transmission detectors can be interleaved along the axis of relative patient motion. Emission detectors and transmission detectors can be interleaved orthogonal to the axis of relative patient motion. Emission detectors can be single photon emission computed tomography detectors and the transmission detectors can be x-ray computed tomography detectors.

Abstract: Methods of determining an acquisition time adapted to a region of interest for a nuclear imaging process of a patient include detecting radiation from at least a first viewing angle during a first test amount of time, generating first test data from the detected radiation, reconstructing a nuclear event distribution from the first test data, determining a test signal-to-noise ratio for the reconstructed nuclear event distribution within the region of interest, and determining the acquisition time using the test signal-to-noise ratio and the first test amount of time.

Abstract: A method of computer-assisted learning of control and/or feedback control of a technical system is provided. A statistical uncertainty of training data used during learning is suitably taken into account when learning control of the technical system. The statistical uncertainty of a quality function, which models an optimal operation of the technical system, is determined by uncertainty propagation and is incorporated during learning of an action-selecting rule. The uncertainty propagation uses a covariance matrix in which non-diagonal elements are ignored. The method can be used for learning control or feedback control of any desired technical systems. In a variant, the method is used for control or feedback control of an operation of a gas turbine. In another variant, the method is used for control or feedback control of a wind power plant.

Abstract: A system and method is provided for performing multimodal imaging of an object. The system and method includes performing spatio-temporal detection of transmission CT data of a fan X-ray beam, performing, and simultaneously with the spatio-temporal detection of transmission CT data, spatio-temporal detection of emission nuclear imaging data emitted from the object with a propagation direction across the propagation direction of the fan X-ray beam. The system and method further includes identifying at least two zones in the object based on the transmission CT data, reconstructing an image object from the emission nuclear imaging data under the constraint that respective portions of detected nuclear events are associated with selected zones, and outputting data representative of the image object.

Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner.

Abstract: Methods of nuclear imaging can include, in a pre-scan, detecting radiation emitted from a patient in a first plurality of viewing angles including at least a first viewing angle and a second viewing angle, generating nuclear data from the detected radiation, reconstructing a first nuclear event distribution from the nuclear data, selecting a region of interest, determining a first signal-to-noise ratio of the first nuclear event distribution within the region of interest, selecting a second plurality of viewing angles not including the first viewing angle, reconstructing a second nuclear event distribution from the nuclear data associated with the second plurality of viewing angles, determining a second signal-to-noise ratio of the second nuclear event distribution within the region of interest, determining that the second signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio, and nuclear imaging the patient by detecting nuclear data based on a nuclear imaging process that is based

Abstract: Methods of determining an acquisition time adapted to a region of interest for a nuclear imaging process of a patient include detecting radiation from at least a first viewing angle during a first test amount of time, generating first test data from the detected radiation, reconstructing a nuclear event distribution from the first test data, determining a test signal-to-noise ratio for the reconstructed nuclear event distribution within the region of interest, and determining the acquisition time using the test signal-to-noise ratio and the first test amount of time.

Abstract: A method for the computer-assisted exploration of states of a technical system is provided. The states of the technical system are run by carrying out an action in a respective state of the technical system, the action leading to a new state. A safety function and a feedback rule are used to ensure that a large volume of data of states and actions is run during exploration and that at the same time no inadmissible actions occur which could lead directly or indirectly to the technical system being damaged or to a defective operating state. The method allows a large number of states and actions relating to the technical system to be collected and may be used for any technical system, especially the exploration of states in a gas turbine. The method may be used both in the real operation and during simulation of the operation of a technical system.

Abstract: The application discloses multimodality imaging systems that include a gantry with a stationary unit and a rotating unit rotatable around a rotation axis and providing an opening extending along the rotation axis through which a subject is insertable, a support table coupled to the stationary unit for supporting a subject, a table drive unit coupled to the support table for translating the support table in a direction extending along the rotation axis, and a CT source coupled to the rotating unit, the CT source being configured to emit a fan beam through the opening, a CT detector coupled to the rotating unit opposite the CT source, the CT source being configured to detect the fan beam, a nuclear imaging detector coupled to the rotating unit, the nuclear imaging detector being configured to detect nuclear radiation emitted from within the opening in a direction differing from a propagation direction of the fan beam.

Abstract: A method for tomographic nuclear imaging determines the distance between a non-parallel hole collimator surface and a region of interest (ROI) by obtaining difference images between images acquired at different view angles of the ROI. The distance may be used in a nuclear image reconstruction algorithm to more accurately reconstruct an image of the ROI. The method takes advantage of the non-stationary Point Spread Function of a non-parallel hole collimator to determine depth information of gamma events emitted from the ROI.

Abstract: Smoothing a first object, thereby creating a smoothed object having a smoothed value associated with each object point in object space, includes receiving the first object, determining, in a series of iteration steps, single-kernel-smoothed objects, wherein each iteration step includes based on the first object, determining a start object and smoothing the start object using a kernel function associated with the iteration step, thereby creating the single-kernel-smoothed object having single-kernel-smoothed values associated with each object point, and constructing the smoothed object from the single-kernel-smoothed values.

Abstract: Tomographically reconstructing a 3D image object corresponding to a data set includes for each step in a series of iteration steps, determining an updated object by performing a combined operation, which includes performing an update operation for updating an input object and performing a pixon smoothing operation, and following a last iteration, outputting one of the updated objects as the 3D image object.

Abstract: Computer-implemented methods of reconstructing an image object for a measured object in object space from image data in data space cause a computer system to execute instructions for providing zonal information separating the object space into at least two zones, providing at least two zonal image objects, each zonal image object being associated with one of the at least two zones, performing a zonal smoothing operation on at least one of the zonal image objects, thereby generating at least one smoothed zonal image object, reconstructing the image object on the basis of the at least one smoothed zonal image object, and outputting the image object.

Abstract: Computer-implemented methods of reconstructing an image object for a measured object in object space from image data in data space include causing a computer to execute instructions for providing zonal information separating the object space into at least two zones, providing at least two zonal image objects, each zonal image object being associated with one of the at least two zones, reconstructing the image object using a data model derived from forward projecting the zonal image objects into data space, wherein the contribution of each zonal image object to the data model is weighted according to a zonal scaling factor, and outputting the image object.

Abstract: A computer-implemented method includes causing a computer system to execute instructions for providing a first data set and a second data set, each derived from a common object, providing a first tomographic image object associated with the first data set providing a second tomographic image object associated with the second data set, generating a multimodal pixon map for pixon smoothing on the basis of the first data set, the first tomographic image object, the second data set, and the second tomographic image object, and outputting the multimodal pixon map.

Abstract: A computer-implemented method of assessing the quality of a functional image for an object includes causing a computer to execute instructions for providing a signal distribution of values N generating a transformed distribution by calculating, for each value N, a transformed value X=?{square root over (N+¼)}, reconstructing the functional image from the signal distribution, deriving an expected distribution of expected values A from the functional image, generating a residual distribution by calculating, for each value N, a residual values ?X=X??{square root over (?)}, and outputting the residual distribution.