University of Colorado

Koninklijke Philips Corporation N.v.

University Technology Corporation

Shiuh-Yung James Chen

John Dougher Carroll

Michael Grass

Babak Movassaghi

Onno Wink

Anne Morawski Neubauer

Joel Alberto Garcia

It is described a method for spatially characterizing a device positioned within an object, e.g. a patient's body, under examination that e.g. allows a clinician to easily assess the deployment state and position of the device. The method comprises the steps of acquiring () a set of images of the device, reconstructing () a three-dimensional model of the device from the set of images, comparing () the model of the device with an ideal model of the device in a predetermined deployment state inside the object and displaying () the model of the device on a display unit. For optical indication deviation areas of the deployed device relative to an ideal model of the deployed device can be determined and color-coded depending on the strength of deviation.

Spatial and shape characterization of an implanted device within an object

A method for determining an optimal trajectory for 3-dimensional rotational X-ray coronary angiography for a C-arm X-ray system that has at least two degrees of freedom, where the C-arm X-ray system is defined by a rotational movement of the C-arm expressed in a left/right coronary artery oblique angle, and a roll motion of the C-arm expressed in a caudal/cranial angle. The method includes generating of a 3-dimensional representation of a center-line of a body vessel in a region of interest. generating at least one optimal view map. Further, an optimal trajectory for the X-ray system within the optimal view map is determined, where an optimal trajectory is at least determined by movements of the C-arm within its two degrees of freedom allowing image projections with minimal foreshortening and/or overlap while minimizing an exposure to X-rays.

Optimal rotational trajectory determination for RA based on pre-determined optimal view map

Methods and systems for reconstruction of a three-dimensional representation of a moving arterial tree structure from a pair of sequences of time varying two-dimensional images thereof and for analysis of the reconstructed representation. In one aspect of the invention, a pair of time varying arteriographic image sequences are used to reconstruct a three-dimensional representation of the vascular tree structure as it moves through a cardiac cycle. The arteriographic image sequences maybe obtained from a biplane imaging system or from two sequences of images using a single plane imaging system. Another aspect of the invention then applies analysis methods and systems utilizing the three-dimensional representation to analyze various kinematic and deformation measures of the moving vascular structure. Analysis results may be presented to the user using color coded indicia to identify various kinematic and deformation measures of the vascular tree.

Methods and systems for display and analysis of moving arterial tree structures

A method for in-room computer reconstruction of a three-dimensional (3-D) coronary vascular tree from routine biplane angiograms acquired at arbitrary angles and without using calibration objects. The method includes seven major steps: (1) acquisition of two standard angiogram sequences by use of a single-plane or biplane imaging system, (2) identification of 2-D coronary vascular trees and feature extractions including bifurcation points, directional vectors, vessel centerlines, and construction of vessel hierarchy in the two images, (3) determination of transformation in terms of a rotation matrix R and a translation vector {right arrow over (t)} based on the extracted vessel bifurcation points and directional vectors, (4) establishment of vessel centerline correspondence, (5) calculation of the skeleton of 3-D coronary vascular trees, (6) rendering of 3-D coronary vascular tree with associated gantry angulation, and (7) calculation of optimal view(s) and 3-D QCA as quantitative measures associated with the selected vascular segment(s) of interest. The calculation of optimal views includes determination of 2-D projections of the reconstructed 3-D vascular tree so as to minimize foreshortening of a selected vascular segment, overlap of a selected vascular segment or both overlap and foreshortening of a selected arterial segment.

Growing community of inventors

Englewood, CO, United States of America

Shiuh-Yung James Chen