Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from a testing LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.

Abstract: The present disclosure describes a computer-implemented method of transforming a low-resolution MR image to a high-resolution MR image using a deep CNN-based MRI SR network and a computer-implemented method of transforming an MR image to a pseudo-CT (sCT) image using a deep CNN-based sCT network. The present disclosure further describes a MR image-guided radiation treatment system that includes a computing device to implement the MRI SR and CT networks and to produce a radiation plan based in the resulting high resolution MR images and sCT images.

Abstract: A method for optimizing a CT simulation protocol for different size patients for contouring and segmentation of organs and tumors. The method scanning different size phantoms, cadavers, or patients with a CT scanning x-ray tube to create a set of images and to create data sets for each different size phantoms, cadavers, or patients and then calculating an image quality index (IQI) as a benchmark for contouring accuracy. Finding an optimal IQI that characterizes patients of different sizes and using the optimal IQI to determine the accuracy of the contouring and segmentation of A CT simulation protocol for a patient.

Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. In an alternative embodiment, a system and method for validating the accuracy of delineated contours in computerized imaging using machine learning for assessing delineated contours, with the machine learning training data being used to generate geometric attributes, and the geometric attributes used to construct intra- and interstructural geometric attribute distribution models to automatically detect contouring errors.

Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. In an alternative embodiment, a system and method for validating the accuracy of delineated contours in computerized imaging using machine learning for assessing delineated contours, with the machine learning training data being used to generate geometric attributes, and the geometric attributes used to construct intra- and interstructural geometric attribute distribution models to automatically detect contouring errors.

Abstract: A system or method for radiation treatment optimized for non-coplanar delivery, which includes a first collimator affixed to a gantry and a second collimator movably attached to the gantry to provide the second collimator a translation movement out of a gantry rotation plane. The system or method also includes a third collimator configured to collimate the beam in a direction of a target in the patient's body. The beam collimated by the third collimator is configured to follow the target during treatment. A method of performing rotation setup correction by rotating the treatment beam, without rotating the patient.

Abstract: The present disclosure is directed to a computer-implemented method for designing a patient-specific brachytherapy (BT) tandem applicator. The method is implemented using at least one processor in communication with at least one memory. The method includes receiving a radiation treatment plan for treating a region of interest. The radiation treatment plan includes a prescribed radiation dosage and patient anatomical data of the region of interested to be treated. The method also includes applying an inverse planning optimization model to determine an optimal thickness of an interior surface of the tandem applicator at a plurality of dwell positions within the region of interest. The method also includes generating a schedule of dwell times for the tandem applicator based on the generated position-dependent thickness profile. The method also includes transmitting design instructions to a 3D printer for fabrication of the tandem applicator.

Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from a testing LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.

Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. The present invention may be used to facilitate, as one example, on-line adaptive radiation therapy.

Abstract: An example magnetic resonance imaging (MRI) system includes a sensor that detects a characteristic amplitude associated with a patient characteristic of a subject, a receiver that receive magnetic resonance data, a memory device, and a processor. The processor is programmed to determine when the characteristic amplitude of the subject reaches a first characteristic amplitude of a plurality of sequential characteristic amplitudes defined for a cycle of the patient characteristic, determine if a predetermined number of MRI images have been acquired for the first characteristic amplitude, capture magnetic resonance data with the receiver if the number of MRI images have not been acquired for the first characteristic amplitude and without regard for a location of the first characteristic amplitude in the sequence of the sequential characteristic amplitudes, and process the magnetic resonance data as an MRI image associated with the first characteristic amplitude.

Abstract: A method for optimizing a CT simulation protocol for different size patients for contouring and segmentation of organs and tumors. The method scanning different size phantoms, cadavers, or patients with a CT scanning x-ray tube to create a set of images and to create data sets for each different size phantoms, cadavers, or patients and then calculating an image quality index (IQI) as a benchmark for contouring accuracy. Finding an optimal IQI that characterizes patients of different sizes and using the optimal IQI to determine the accuracy of the contouring and segmentation of A CT simulation protocol for a patient.

Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. In an alternative embodiment, a system and method for validating the accuracy of delineated contours in computerized imaging using machine learning for assessing delineated contours, with the machine learning training data being used to generate geometric attributes, and the geometric attributes used to construct intra- and interstructural geometric attribute distribution models to automatically detect contouring errors.

Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. The present invention may be used to facilitate, as one example, on-line adaptive radiation therapy.

Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Abstract: A system for distributing images creates a self-sufficient, self-consistent medical imaging and other medical information transfer file that contains image files and corresponding data sets that are bundled with an image viewer application. The medical image and data transfer file is prepared using object serialization and contains a deserialization application. The transfer file is created at an origination location and transmitted to a destination device as a packaged file over a computer network. The destination device receives the packaged file from the origination location and executes the viewer application with the image files and the data sets by opening the packaged file alone, without the need to run any other imaging/viewer application at the destination device. The viewer application has image viewing panes, an annotation tool, and image manipulation tools.