The University of North Carolina at Chapel Hill

Duke University

Edward L Chaney

Stephen Murray Pizer

Sarang C Joshi

Robert Elijah Broadhurst

Daniel Scott Fritsch

Valen E Johnson

P Thomas Fletcher

Eric Wallen

Andrew Thall

William Hyslop

Alyson G Wilson

Lester Kwock

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. The intervention target region is transferred to the intervention-guiding image according to the transformation between the m-rep in the planning image and the m-rep in the intervention-guiding image.

Methods, systems, and computer readable media for mapping regions in a model of an object comprising an anatomical structure from one image data set to images used in a diagnostic or therapeutic intervention

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.

Methods and systems for modeling objects and object image data using medial atoms

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.

Image object matching using core analysis and deformable shape loci

Growing community of inventors

Efland, NC, United States of America

Edward L Chaney