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Time-resolved cardiac CT reconstruction using a nonlinear Kalman-Filter based algorithm | IEEE Conference Publication | IEEE Xplore

Time-resolved cardiac CT reconstruction using a nonlinear Kalman-Filter based algorithm


Abstract:

We propose an algorithm to solve the problem of time-resolved cardiac computed tomography (CT). The goal of the algorithm is to reconstruct a snapshot of the moving heart...Show More

Abstract:

We propose an algorithm to solve the problem of time-resolved cardiac computed tomography (CT). The goal of the algorithm is to reconstruct 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 which requires a nonlinear version of the Kalman Filter to assimilate the sequentially acquired projection data. Simulation results show that the nonlinear model overcomes shortcomings of the previously used linear model.
Date of Conference: 28 June 2009 - 01 July 2009
Date Added to IEEE Xplore: 07 August 2009
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Conference Location: Boston, MA, USA

References

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