Abstract: A computing device uses image metadata to perform a first sub-classification of an image, wherein the first sub-classification is deterministic, then uses a combination of image data and the image metadata to perform a second sub-classification, further in a third sub-classification, uses image data to make a probabilistic classification of an image according to a likely phantom type. Alternatively or additionally, a computing device receives a set of image analysis data, identifies an image analysis model to be trained, using the image analysis data, determines that the image analysis model can include an image permutation, and trains a new image analysis model including the image permutation.

Abstract: A computing device uses image metadata to perform a first sub-classification of an image, wherein the first sub-classification is deterministic, then uses a combination of image data and the image metadata to perform a second sub-classification, further in a third sub-classification, uses image data to make a probabilistic classification of an image according to a likely phantom type. Alternatively or additionally, a computing device receives a set of image analysis data, identifies an image analysis model to be trained, using the image analysis data, determines that the image analysis model can include an image permutation, and trains a new image analysis model including the image permutation.

Abstract: Calibrating the dose response of an image acquisition device comprises comparing a first self-calibration curve to a second self-calibration curve to determine the relationship between the curves; modifying an acquired image based on the at least one difference; and applying an initial calibration to the acquired image, whereby the dose response of the image acquisition device is calibrated.

Abstract: Calibrating the dose response of an image acquisition device comprises comparing a first self-calibration curve to a second self-calibration curve to determine the relationship between the curves; modifying an acquired image based on the at least one difference; and applying an initial calibration to the acquired image, whereby the dose response of the image acquisition device is calibrated.

Abstract: Optimizing an alignment of a first image having a first set of points and a second image having a second set of points includes selecting at least one point in the first set of points; selecting at least one point in the second set of points, each selected point in the second set of points corresponding to at least one of the at least one selected points in the first set of points; calculating at least one alignment index related to the at least one selected point in the second set of points; and generating an optimization based on the alignment index. Some embodiments further include applying the optimization to at least one of the points selected in the second set of points, thereby optimizing the alignment of the second image with the first image.

Abstract: A first self-calibration curve relates a first array image to a first acquired image, the first array image being recorded from application of a first radiation treatment plan to a detector array, and the first acquired image being recorded from application of the first radiation treatment plan to a radiation detector. At least one subsequent self-calibration curve relates at least one subsequent array image to at least one subsequent acquired image, the subsequent array image being recorded from application of at least one subsequent radiation treatment plan to the detector array, and the subsequent acquired image being recorded from application of the subsequent radiation treatment plan to the radiation detector. In some embodiments, the detector array is pre-calibrated to a predefined standard.

Abstract: Calibrating the dose response of an image acquisition device comprises comparing a first self-calibration curve to a second self-calibration curve to determine the relationship between the curves; modifying an acquired image based on the at least one difference; and applying an initial calibration to the acquired image, whereby the dose response of the image acquisition device is calibrated.

Abstract: The invention relates generally to systems and methods for processing radiographic and other medical-related images (collectively “imaging system” or simply the “system”). More specifically, the invention relates to a system for associating particular calibration information with a particular radiographic image. Calibrated images processed by the system can be created from radiographic images and calibration information associated with the radiographic images. In many embodiments, the system includes a user interface that automatically configures itself in accordance with the calibration information embedded with the radiographic image. The system can include a user interface configured to obtain the calibration from the data object.

Abstract: The invention is a system or method for aligning images (the “system”). A definition subsystem, including a first image, a second image, one or more target reference points, one or more template reference points, and a geometrical object. The definition subsystem identifies one or more target reference points associated with the first image and one or more template reference points associated with the second image by providing a geometrical object for positioning the first image in relation to the second image. A combination subsystem is configured to generate an aligned image from the first image and second image. An interface subsystem may be used to facilitate interactions between a user and the system.

Abstract: The invention relates generally to systems and methods for processing radiographic and other medical-related images (collectively “imaging system” or simply the “system”). More specifically, the invention relates to a system for associating particular calibration information with a particular radiographic image. Calibrated images processed by the system can be created from radiographic images and calibration information associated with the radiographic images. In many embodiments, the system includes a user interface that automatically configures itself in accordance with the calibration information embedded with the radiographic image. The system can include a user interface configured to obtain the calibration from the data object.