Abstract: When adapting models of anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of predesigned anatomical structure models or image volumes can be accessed, and a segmentation of one or more such structures can be selected and overlaid on an a 3D image of corresponding structure(s) in a clinical image (52) of a patient. A user can click on an initially unapproved segmentation 5 landmark (72) on the patient image (52), reposition the unapproved landmark, and approve the repositioned landmark. Remaining unapproved landmarks (72) are then repositioned as a function of the position of the approved landmark (92) using one or more interpolation techniques to adapt the model to the patient image on the fly.

Abstract: When modeling anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of predesigned anatomical structure models can be accessed, and model of one or more such structures can be selected and overlaid on an a 3D image of corresponding structure(s) in a clinic image of a patient. A user can click and drag a cursor on the model to deform the model to align with the clinical image. Additionally, a processor (16) can generate a volumetric deformation function using splines, parametric techniques, or the like, and can deform the model to fit the image in real time, in response to user manipulation of the model.

Abstract: The present application is directed to the idea of using sampling techniques to propagate segmentation uncertainty in order to evaluate variability in radiation planning. A radiotherapy planning apparatus (10) creates diagnostic image data of a region of interest of a subject. Image data from other sources can also be used. The image data is segmented (44) and combined with previously imaged model data. Target measures such as dose volume histograms are produced for each of the segmentations of the image data. These measures are later combined into a statistical quantification of the target measure (FIG. 3). This information is presented (52) to the user to give the user possible outcomes of the radiotherapy plan, and, e.g., confidence levels in those outcomes.