Abstract: A method for simultaneously registering a plurality of computed tomography (CT) scans of a region of interest of a subject including a subject's lungs for quantitative lung analysis includes receiving a plurality of CT scans of the region of interest acquired with a CT imaging system, receiving a breathing surrogate data for the subject, the breathing surrogate data comprising an amplitude for each of the plurality of CT scans and determining a deformation based on the plurality of CT scans and the breathing surrogate data using an iterative optimization process of an objective function. The objective function can include a first term based on an approximation of local changes in Hounsfield Units (HU) adjusted for breathing of the subject and a second term based on error in the conservation of mass. At least one quantitative lung parameter may be determined based on the deformation.

Abstract: A method for segmentation of a cardiac myocardium in one or more images of a subject includes receiving at least one image of a heart of the subject, a segmentation of at least one heart structure, and an identification of a right ventricle insertion point, providing the at least one image of a heart of the subject, the segmentation of the at least one heart structure, and the identification of a right ventricle insertion point to a segmentation model, and generating, using the segmentation model, a subject specific seventeen segment myocardial contour model.

Abstract: A system can comprise a processor and a non-transitory computer-readable storage devices storing computing instructions configured to run on the processor and cause the processor to perform receiving a magnetic resonance imaging (MRI) scan, feeding the MRI scan into a predictive algorithm, and outputting an improved MRI scan from the predictive algorithm.

Abstract: A method for simultaneously registering a plurality of computed tomography (CT) scans of a region of interest of a subject including a subject's lungs for quantitative lung analysis includes receiving a plurality of CT scans of the region of interest acquired with a CT imaging system, receiving a breathing surrogate data for the subject, the breathing surrogate data comprising an amplitude for each of the plurality of CT scans and determining a deformation based on the plurality of CT scans and the breathing surrogate data using an iterative optimization process of an objective function. The objective function can include a first term based on an approximation of local changes in Hounsfield Units (HU) adjusted for breathing of the subject and a second term based on error in the conservation of mass. At least one quantitative lung parameter may be determined based on the deformation.

Abstract: In certain embodiments novel sparse orthogonal collimators (SOCs) for use in radiotherapy are provided. In certain embodiments the SOCs comprise 2 layer 4 bank orthogonal collimators with 2-8 leaves in each of the 4 banks. Instead of using the limited heuristic approach to create jaw-only IMRT, a novel fluence map optimization method is provided based on wavelet decomposition and this method is used for IMRT. An algorithm to simplify the fluence maps with minimal and predictable dose quality compromise is also provided.

Abstract: In various embodiments, methods and devices are provided for generating a radiotherapy treatment plan for a subject to be implemented on a radiotherapy device. In certain embodiments the methods involve determining all feasible radiotherapy beam orientations free of collision for said radiotherapy device and said subject to provide a set of radiotherapy beam orientations; selecting from the set of all feasible radiotherapy beam orientations a subset of beams that meet treatment goals to be used in treatment of the subject to provide a selected beam set; calculating a navigation trajectory for the radiotherapy device to delivery said subset of beams to the subject where the trajectory is free of collision; and generating and writing instruction files to a tangible medium that can be executed by said radiotherapy device.

Abstract: In certain embodiments novel sparse orthogonal collimators (SOCs) for use in radiotherapy are provided. In certain embodiments the SOCs comprise 2 layer 4 bank orthogonal collimators with 2-8 leaves in each of the 4 banks. Instead of using the limited heuristic approach to create jaw-only IMRT, a novel fluence map optimization method is provided based on wavelet decomposition and this method is used for IMRT. An algorithm to simplify the fluence maps with minimal and predictable dose quality compromise is also provided.

Abstract: In various embodiments, methods and devices are provided for generating a radiotherapy treatment plan for a subject to be implemented on a radiotherapy device. In certain embodiments the methods involve determining all feasible radiotherapy beam orientations free of collision for said radiotherapy device and said subject to provide a set of radiotherapy beam orientations; selecting from the set of all feasible radiotherapy beam orientations a subset of beams that meet treatment goals to be used in treatment of the subject to provide a selected beam set; calculating a navigation trajectory for the radiotherapy device to delivery said subset of beams to the subject where the trajectory is free of collision; and generating and writing instruction files to a tangible medium that can be executed by said radiotherapy device.

Abstract: Disclosed herein are methods, systems and therapeutics concerning radiotherapy of microscopic disease based on realtime imaging. The system comprises an intra-corporeal component and an extra-corporeal component. The intra-corporeal component comprises a detector/imaging subunit and a treatment subunit, where both subunits are placed in a cavity of a patient. The extra-corporeal component comprises a detector that is placed outside any cavity of the patient. Through this system, a treatment can be applied to a target tissue in a patient concurrently or within a short period time to signal detections.

Abstract: A method of multileaf collimator (MLC) leaf positioning in tracking-based adaptive radiotherapy is provided. The method includes determining a radiotherapy beam pattern by transforming a treatment beam plan into radiotherapy beam coordinates, determining a dose discrepancy between the radiotherapy beam pattern and a deliverable MLC aperture, where the dose discrepancy includes a sum of an overdose cost and an underdose cost to a treatment volume, and minimizing the dose discrepancy, where the dose discrepancy minimization provides a determined deliverable MLC aperture for the radiotherapy beam.

Abstract: A method of minimizing radiation toxicity in image guided radiotherapy (IGRT) is provided that includes using a probabilistic prediction algorithm that is operated on a suitably programmed computer and includes multimodality inputs and provides real-time geometric and topological target estimates to compensate for system latency, using an online adaptive imaging system that provides radiographic images of the target when the geometric and topological target estimates are in a region of predefined uncertainty, and using an image dose control algorithm, operating on a suitably programmed computer, that includes parameters for controlling dose per image, where instances for image acquisition are optimized according to a planned dose pattern and delivery result.

Abstract: A method of multileaf collimator (MLC) leaf positioning in tracking-based adaptive radiotherapy is provided. The method includes determining a radiotherapy beam pattern by transforming a treatment beam plan into radiotherapy beam coordinates, determining a dose discrepancy between the radiotherapy beam pattern and a deliverable MLC aperture, where the dose discrepancy includes a sum of an overdose cost and an underdose cost to a treatment volume, and minimizing the dose discrepancy, where the dose discrepancy minimization provides a determined deliverable MLC aperture for the radiotherapy beam.

Abstract: A method of minimizing radiation toxicity in image guided radiotherapy (IGRT) is provided that includes using a probabilistic prediction algorithm that is operated on a suitably programmed computer and includes multimodality inputs and provides real-time geometric and topological target estimates to compensate for system latency, using an online adaptive imaging system that provides radiographic images of the target when the geometric and topological target estimates are in a region of predefined uncertainty, and using an image dose control algorithm, operating on a suitably programmed computer, that includes parameters for controlling dose per image, where instances for image acquisition are optimized according to a planned dose pattern and delivery result.

Abstract: A method of profiling respiratory motion is provided that includes estimating a temporal respiratory pattern, using a warping function to map the temporal respiratory pattern to a corresponding phase value, using a baseline drift function to determine drift in the temporal respiratory pattern, and noise filtering the temporal respiratory pattern, where variations in a respiratory motion are provided. The warping function includes combining an elliptical shape prior for providing iso-phase events in real-time, where the elliptical shape prior is in an augmented state space and Poincare´ sectioned. Parameters of the ellipse are estimated, where a projection of a center of the ellipse onto an observed respiratory position provides a real-time estimation for baseline drift of the respiratory motion.