LV shape and motion : B-spline-based deformable model and sequential motion decomposition
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 430-446 |
Journal / Publication | IEEE Transactions on Information Technology in Biomedicine |
Volume | 9 |
Issue number | 3 |
Publication status | Published - Sept 2005 |
Externally published | Yes |
Link(s)
Abstract
In this paper, we extend a previous work by J. Park and propose a uniform framework to reconstruct left ventricle (LV) geometry/motion from tagged MR images. In our work, the LV is modeled as a generalized prolate spheroid, and its motion is decomposed into four components-global translation, polar radial/z-axis compression, twisting, and bending. By formulating model parameters as tensor products of B-splines, we develop efficient algorithms to quickly reconstruct LV geometry/motion from extracted boundary contours and tracked planar tags. Experiments on both synthesized and in vivo data are also reported. © 2005 IEEE.
Research Area(s)
- B-spline, Generalized prolate spheroid, Left ventricle (LV), Sequential motion decomposition
Citation Format(s)
LV shape and motion: B-spline-based deformable model and sequential motion decomposition. / Luo, Guo; Heng, Pheng Ann.
In: IEEE Transactions on Information Technology in Biomedicine, Vol. 9, No. 3, 09.2005, p. 430-446.
In: IEEE Transactions on Information Technology in Biomedicine, Vol. 9, No. 3, 09.2005, p. 430-446.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review