Washington University

Other

Surgical Navigation Technologies, Inc.

Leland Stanford Junior University

The University of North Carolina at Chapel Hill

Sarang C Joshi

Michael I Miller

Gary E Christensen

Ulf Grenander

Paul J Keall

Stephen Murray Pizer

Edward L Chaney

Muge M Bakircioglu

P Thomas Fletcher

John G Csenansky

Andrew Thall

John W Haller

Computed axial tomography images of different respiratory phases of lungs are obtained, where the intensity of the image measures lung density. One image is deformed to the coordinate space of the other image, and the differences between the intensity values of the other image as compared to the mapped image are evaluated as measures of ventilation.

Method and system for using computed tomography to test pulmonary function

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

An apparatus and method for processing images with regions representing target objects involves registering a first and a second image, where the second image contains a target object. The method comprises the steps of identifying a region in the second image containing one or more image data elements representing the target object, transforming the second image to reduce the size of the region containing the target object, and registering the first image and the second image. Another embodiment comprises the steps of identifying a region in the second image containing one or more image data elements representing a target object. After identifying this region, the first and second images are registered using a first transform component that filters one or more data elements in the second image that are contained in the identified region, and a second transform component that includes one or more data elements in the second image that are contained in the identified region.

Method and apparatus for processing images with regions representing target objects

An apparatus and method for image registration of a template image with a target image with large deformation. The apparatus and method involve computing a large deformation transform based on landmark manifolds, image data or both. The apparatus and method are capable of registering images with a small number of landmark points. Registering the images is accomplished by applying the large deformation transform.

Method and apparatus for image registration using large deformation diffeomorphisms on a sphere

Method and apparatus for automatic shape characterization

An apparatus and method for image registration involves computing a first transform based on landmark manifolds, using a distance measure, computing a second transform from the distance measure and the first transform. Registering the images is accomplished by applying the second transform.

Method and apparatus for image registration

Rapid convolution based large deformation image matching via landmark and volume imagery

Growing community of inventors

Chapel Hill, NC, United States of America

Sarang C Joshi