Data consistency conditions for displacement estimation in circular cone-beam CT
Résumé
We examine the use of data consistency conditions to identify a single abrupt translation during a standard circular cone-beam CT scan. We assume that the time of the motion is known; the objective is to accurately identify the translation vector. We concentrate specifically on the Zoom-In Partial Scans (ZIPS) geometry as described by L. Fu, E. Haneda, and co-workers. Our results indicate that highly accurate identification of the translation vector is possible by pairwise comparisons of projections taken on either side of the moment of translation. Specifically, in ideal noise-free simulations, the 3D translation vector was estimated to better than 0.01 mm, and to within 1.2 mm when high levels of Poisson noise were added to the projection data. We point out advantages and limitations of this approach.
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