Name
Abstract | ||
|---|---|---|
Myocardial tagging is a non-invasive MR imaging technique; it generates a periodic tag pattern in the magnetization that deforms with the tissue during the cardiac cycle. It can be used to assess regional myocardial function, including tissue displacement and strain. Most image analysis methods require labor-intensive tag detection and tracking. We have developed an accurate and automated method for tag detection in order to calculate strain from tagged magnetic resonance images of the heart. It detects the local spatial frequency and phase of the tags using a bank of Gabor filters with varying frequency and phase. This variation in tag frequency is then used to calculate the local myocardial strain. The method is validated using computer simulations. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30136-3_139 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
image analysis,spatial frequency,magnetic resonance image,computer simulation | Computer vision,Pattern recognition,Computer science,Magnetization,Markov random field,Gabor filter,Artificial intelligence,Cardiac cycle,Periodic graph (geometry),Spatial frequency,Computation,Magnetic resonance imaging | Conference |
Volume | ISSN | Citations |
3217 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tushar Manglik | 1 | 14 | 1.38 |
| Alexandru Cernicanu | 2 | 2 | 0.77 |
| Vinay S. Pai | 3 | 28 | 22.38 |
| Daniel Kim | 4 | 50 | 4.41 |
| Ting Chen | 5 | 81 | 5.81 |
| Pradnya Dugal | 6 | 0 | 0.34 |
| Bharathi Batchu | 7 | 0 | 0.34 |
| Leon Axel | 8 | 932 | 106.70 |