Perceiving Systems, Computer Vision

A Curvature-Based Approach for Left Ventricular Shape Analysis from Cardiac Magnetic Resonance Imaging

2009

Article

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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.

Author(s): Si Yong Yeo and Liang Zhong and Yi Su and Ru San Tan and Dhanjoo Ghista
Journal: Medical & Biological Engineering & Computing
Volume: 47
Number (issue): 3
Pages: 313-322
Year: 2009

Department(s): Perceiving Systems
Bibtex Type: Article (article)
Paper Type: Journal

URL: http://link.springer.com/article/10.1007%2Fs11517-008-0401-4

BibTex

@article{Yeo:MBEC:2009,
  title = {A Curvature-Based Approach for Left Ventricular Shape Analysis from Cardiac Magnetic Resonance Imaging},
  author = {Yeo, Si Yong and Zhong, Liang and Su, Yi and Tan, Ru San and Ghista, Dhanjoo},
  journal = {Medical & Biological Engineering & Computing},
  volume = {47},
  number = {3},
  pages = {313-322},
  year = {2009},
  doi = {},
  url = {http://link.springer.com/article/10.1007%2Fs11517-008-0401-4}
}