Abstract: In accordance with the teachings described herein, systems and methods are provided for generating a seed plan for use in radiation therapy. The system includes an image database, the image database comprising image slices and a seed template database comprising seed templates. A contour engine is configured to generate target contour data to identify one or more objects within each image slice. A reslicer engine is configured to rotate the contoured image about an angle of rotation to produce a resliced contoured image, such that the resliced contoured image is resampled at an angle perpendicular to the angle of rotation and intersecting an isocenter. The system also includes a seed grid engine configured to generate a seed grid perpendicular to the angle of rotation.

Abstract: A registration technique is provided that can combine one or more related registrations to enhance accuracy of a registration of image volumes. A registration relationship between a first source volume and a target volume and a registration relationship between the first source volume and a second source volume are concatenated to provide an estimate of a registration relationship between the second source volume and the target volume. The estimate is utilized to inform the direct registration of the second source volume to the target volume or utilized in place of the direct registration.

Abstract: In accordance with the teachings described herein, systems and methods are provided for generating a seed plan for use in radiation therapy. The system includes an image database, the image database comprising image slices and a seed template database comprising seed templates. A contour engine is configured to generate target contour data to identify one or more objects within each image slice. A reslicer engine is configured to rotate the contoured image about an angle of rotation to produce a resliced contoured image, such that the resliced contoured image is resampled at an angle perpendicular to the angle of rotation and intersecting an isocenter. The system also includes a seed grid engine configured to generate a seed grid perpendicular to the angle of rotation.

Abstract: A registration technique is provided that can combine one or more related registrations to enhance accuracy of a registration of image volumes. A registration relationship between a first source volume and a target volume and a registration relationship between the first source volume and a second source volume are concatenated to provide an estimate of a registration relationship between the second source volume and the target volume. The estimate is utilized to inform the direct registration of the second source volume to the target volume or utilized in place of the direct registration.

Abstract: In accordance with the teachings described herein, systems and methods are provided for generating images for use in systems, e.g., imaging systems. The method includes receiving at least a first set of images, providing a first registration, providing a display, and displaying a first image on said display. Further, the method includes providing a user interface, providing a second registration, and displaying a second image in said user interface. Further, the systems include an image database, a display, and a registration engine. The registration engine includes software instructions stored in at least one memory device and executable by one or more processors.

Abstract: In accordance with the teachings described herein, systems and methods are provided for generating a seed plan for use in radiation therapy. The system includes an image database, the image database comprising image slices and a seed template database comprising seed templates. A contour engine is configured to generate target contour data to identify one or more objects within each image slice. A reslicer engine is configured to rotate the contoured image about an angle of rotation to produce a resliced contoured image, such that the resliced contoured image is resampled at an angle perpendicular to the angle of rotation and intersecting an isocenter. The system also includes a seed grid engine configured to generate a seed grid perpendicular to the angle of rotation.

Abstract: Systems and methods are provided for contouring a set of medical images. Deformation field data is generated between a source image and a target image of the set of medical images. The deformation field data relates structures in the source image to corresponding structures in the target image and is generated in accordance with a deformable registration algorithm. The deformation field data is utilized to generate target contour data associated with the target image from source contour data, associated with the source image, that identifies one or more objects within the source image.

Abstract: In accordance with the teachings described herein, systems and methods are provided for generating a seed plan for use in radiation therapy. The system includes an image database, the image database comprising image slices and a seed template database comprising seed templates. A contour engine is configured to generate target contour data to identify one or more objects within each image slice. A reslicer engine is configured to rotate the contoured image about an angle of rotation to produce a resliced contoured image, such that the resliced contoured image is resampled at an angle perpendicular to the angle of rotation and intersecting an isocenter. The system also includes a seed grid engine configured to generate a seed grid perpendicular to the angle of rotation.

Abstract: A registration technique is provided that can combine one or more related registrations to enhance accuracy of a registration of image volumes. A registration relationship between a first source volume and a target volume and a registration relationship between the first source volume and a second source volume are concatenated to provide an estimate of a registration relationship between the second source volume and the target volume. The estimate is utilized to inform the direct registration of the second source volume to the target volume or utilized in place of the direct registration.

Abstract: In accordance with the teachings described herein, systems and methods are provided for contouring a set of medical images. An example system may include an image database, an image deformation engine and a contour transformation engine. The image database may be used to store a set of medical images. The image deformation engine may be configured to receive a source image and a target image from the set of medical images in the image database, and further configured to use a deformation algorithm with the source image and the target image to generate deformation field data that is indicative of changes between one or more objects from the source image to the target image. The contour transformation engine may be configured to receive source contour data that identifies the one or more objects within the source image, and further configured to use the deformation field data and the source contour data to generate automatic target contour data that identifies the one or more objects within the target image.

Abstract: In accordance with the teachings described herein, systems and methods are provided for generating a contour for a medical image. The system may include a contour synthesis engine that is configured to receive a plurality of contours for a medical image, the plurality of contours identifying at least one object within the medical image. The contour synthesis engine may be further configured to synthesize a combined contour from the plurality of contours by selecting portions of the plurality of contours based on one or more pre-defined contour combination criterion, the one or more pre-defined contour combination criterion including a designated number of contour overlaps such that any region where at least the designated number of contours are overlapping is included in the combined contour.

Abstract: In accordance with the teachings described herein, systems and methods are provided for generating a contour for a medical image. The system may include a contour synthesis engine that is configured to receive a plurality of contours for a medical image, the plurality of contours identifying at least one object within the medical image. The contour synthesis engine may be further configured to synthesize a combined contour from the plurality of contours by selecting portions of the plurality of contours based on one or more pre-defined contour combination criterion, the one or more pre-defined contour combination criterion including a designated number of contour overlaps such that any region where at least the designated number of contours are overlapping is included in the combined contour.

Abstract: In accordance with the teachings described herein, systems and methods are provided for contouring a set of medical images. An example system may include an image database, an image deformation engine and a contour transformation engine. The image database may be used to store a set of medical images. The image deformation engine may be configured to receive a source image and a target image from the set of medical images in the image database, and further configured to use a deformation algorithm with the source image and the target image to generate deformation field data that is indicative of changes between one or more objects from the source image to the target image. The contour transformation engine may be configured to receive source contour data that identifies the one or more objects within the source image, and further configured to use the deformation field data and the source contour data to generate automatic target contour data that identifies the one or more objects within the target image.