Name
Abstract | ||
|---|---|---|
Movement during the acquisition of magnetic resonance images can cause artifacts that interfere with subsequent image analysis. In this paper we address the problem of inter-packet motion and provide a method to minimize errors associated with this artifact. The procedure is based on an iterative packet-to-volume registration process and does not require complementary information such as multimodal acquisitions or protocols that provide redundant volume data. A Kaiser-Bessel function is used to interpolate missing data. Experiments with simulated data demonstrate that the packet-to-volume registration improves greatly after a single iteration and maintains improvement for the following iterations, while experiments with real data demonstrate a substantial reduction in associated artifacts and improvement in quality. In both cases anatomical integrity is preserved after reconstruction. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4541021 | 2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4 |
Keywords | Field | DocType |
image reconstruction, image motion analysis, motion compensation, image registration, magnetic resonance imaging | Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Interpolation,Network packet,Motion compensation,Artificial intelligence,Missing data,Image registration,Magnetic resonance imaging | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.43 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elias Gedamu | 1 | 58 | 3.31 |
| Abraham Gedamu | 2 | 1 | 0.43 |
| Douglas L Arnold | 3 | 340 | 31.44 |
| D. Louis Collins | 4 | 3915 | 403.90 |