Abstract: Methods, systems, and computer readable media for mapping a model of an object comprising an anatomical structure in a planning image and an intervention target region within it to intervention-guiding image data are disclosed. According to one method, an initial medial representation object model (m-rep) of an object comprising an anatomical structure is created based on image data of at least a first instance of the object. A patient-specific m-rep is created by deforming the initial m-rep based on planning image data of at least a second instance of the object, wherein the at least second instance of the object is associated with the patient. An intervention target region within the m-rep is identified in an image registered with the planning image. The patient-specific m-rep is correlated to the intervention-guiding image data of the at least second instance of the object, deformed from the planning image.

Abstract: An apparatus for removing a dry tube assembly includes a mounting structure configured to mount the apparatus to a top guide of a reactor vessel, a clamping assembly configured to engage the dry tube assembly, and a positioning assembly that is configured to position and rotate the clamping assembly relative to the dry tube assembly. The dry tube assembly is buckled and removed without exercising a joint.

Abstract: Methods, systems, and computer readable media for mapping a model of an object comprising an anatomical structure in a planning image and an intervention target region within it to intervention-guiding image data are disclosed. According to one method, an initial medial representation object model (m-rep) of an object comprising an anatomical structure is created based on image data of at least a first instance of the object. A patient-specific m-rep is created by deforming the initial m-rep based on planning image data of at least a second instance of the object, wherein the at least second instance of the object is associated with the patient. An intervention target region within the m-rep is identified in an image registered with the planning image. The patient-specific m-rep is correlated to the intervention-guiding image data of the at least second instance of the object, deformed from the planning image.

Abstract: Methods and systems for modeling objects and object image data using medial atoms are disclosed. Objects and object image data can be modeled using medial atoms. Each medial atom includes at least two vectors having a common tail and extending towards an implied boundary of a model. The medial atoms may be aligned along one or more medial axes in the model. The model may include multiple sub-components, referred to as figures. The model and each of its figures may be represented in model-based and figure-based coordinates. The model may be automatically deformed into target image data using a hierarchy of geometric or probabilistic transformations.

Abstract: Methods and systems for modeling objects and object image data using medial atoms are disclosed. Objects and object image data can be modeled using medial atoms. Each medial atom includes at least two vectors having a common tail and extending towards an implied boundary of a model. The medial atoms may be aligned along one or more medial axes in the model. The model may include multiple sub-components, referred to as figures. The model and each of its figures may be represented in model-based and figure-based coordinates. The model may be automatically deformed into target image data using a hierarchy of geometric or probabilistic transformations.

Abstract: Methods, systems, and computer program products are provided for automatic image recognition of standard shapes which include a core-based deformable loci skeletal grid used to define and represent an object via a model template. The template includes deformable segments, the changes of which are measurable against the deformed model corresponding to an object in a subsequent image. Statistical correlation techniques optimize the match to further refine the shape of the subsequent image.

Abstract: A digital X-ray system for measuring X-ray beam quality such as the peak voltage applied to the X-ray tube and/or half value layer of the X-ray beam.