Time-resolved cardiac CT reconstruction using the ensemble Kalman Filter

We propose an algorithm to solve the problem of Time-Resolved Cardiac Computed Tomography (CT). The algorithm reconstructs a snapshot of the moving heart at any time instant from CT projection data acquired over a single heart-cycle. The object is modeled by a spatio-temporal state-space model, and...

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Bibliographic Details
Main Authors: George, A.K., Butala, M.D., Frazin, R.A., Kamalabadi, F., Bresler, Y.
Format: Conference Proceeding
Language:English
Subjects:
Cardiac
Computed tomography
Dynamic Tomography
Geometry
Heart
Image reconstruction
Imaging phantoms
Kalman filter
Magnetic resonance imaging
Reconstruction algorithms
Spline
Time measurement
Time-resolved
X-rays
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Description
Summary:We propose an algorithm to solve the problem of Time-Resolved Cardiac Computed Tomography (CT). The algorithm reconstructs a snapshot of the moving heart at any time instant from CT projection data acquired over a single heart-cycle. The object is modeled by a spatio-temporal state-space model, and an ensemble Kalman Filter (a Monte-Carlo approximation to the Kalman filter) is used to assimilate the sequentially acquired projection data. Simulation results of the dynamic NCAT cardiac phantom, under the fan-beam geometry and a two-source CT system, show reconstructions that are free of the motion artifacts that mar conventional methods.
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2008.4541290