Title | ||
---|---|---|
A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging. |
Abstract | ||
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It is believed that left ventricular (LV) regional shape is indicative of LV regional function, and cardiac pathologies are
often associated with regional alterations in ventricular shape. In this article, we present a set of procedures for evaluating
regional LV surface shape from anatomically accurate models reconstructed from cardiac magnetic resonance (MR) images. LV
surface curvatures are computed using local surface fitting method, which enables us to assess regional LV shape and its variation.
Comparisons are made between normal and diseased hearts. It is illustrated that LV surface curvatures at different regions
of the normal heart are higher than those of the diseased heart. Also, the normal heart experiences a larger change in regional
curvedness during contraction than the diseased heart. It is believed that with a wide range of dataset being evaluated, this
approach will provide a new and efficient way of quantifying LV regional function. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/s11517-008-0401-4 | Med. Biol. Engineering and Computing |
Keywords | Field | DocType |
shape analysis | Biomedical engineering,Heart failure,Curvature,Surface fitting,Normal heart,Surface shape,Cardiac magnetic resonance imaging,Mathematics,Magnetic resonance imaging,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
47 | 3 | null |
Citations | PageRank | References |
7 | 0.97 | 11 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Si Yong Yeo | 1 | 27 | 4.37 |
Liang Zhong | 2 | 43 | 12.20 |
Y. Su | 3 | 20 | 10.55 |
Ru San Tan | 4 | 200 | 18.12 |
Dhanjoo N Ghista | 5 | 102 | 11.91 |