Abstract | ||
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The ordinary sample correlation coefficient is a popular similarity measure for aligning images from the same or similar modalities. However, this measure can be sensitive to the presence of "outlier" objects that appear in one image but not the other, such as surgical instruments, the patient table, etc., which can lead to biased registrations. This paper describes an intensity-based image regist... |
Year | DOI | Venue |
---|---|---|
2004 | 10.1109/TMI.2004.835313 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image registration,Robustness,Magnetic resonance imaging,Surgical instruments,X-ray imaging,Surgery,Application software,Magnetic properties,Image analysis,Magnetic analysis | Correlation coefficient,Computer vision,Similarity measure,Computer science,Imaging phantom,Outlier,Correlation,Mutual information,Artificial intelligence,Image registration | Journal |
Volume | Issue | ISSN |
23 | 11 | 0278-0062 |
Citations | PageRank | References |
33 | 1.66 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jeong-Tae Kim | 1 | 50 | 11.38 |
J. A. Fessler | 2 | 1743 | 229.34 |