Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4541290 | ISBI |
Keywords | Field | DocType |
Kalman filters,Monte Carlo methods,cardiology,computerised tomography,medical image processing,CT projection data,Monte-Carlo approximation,dynamic NCAT cardiac phantom,ensemble Kalman filter,fan-beam geometry,mar conventional methods,moving heart,spatio-temporal state-space model,time-resolved cardiac CT reconstruction,Cardiac,Computed Tomography,Dynamic Tomography,Kalman filter,Time-resolved | Computer vision,Monte Carlo method,Computer science,Imaging phantom,Kalman filter,Computed tomography,Artificial intelligence,Ensemble Kalman filter,Snapshot (computer storage) | Conference |
ISSN | Citations | PageRank |
1945-7928 | 5 | 0.78 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashvin K. George | 1 | 10 | 1.33 |
| Mark D. Butala | 2 | 24 | 4.80 |
| Richard A. Frazin | 3 | 15 | 2.43 |
| Farzad Kamalabadi | 4 | 98 | 17.82 |
| Yoram Bresler | 5 | 1104 | 119.17 |