Sciweavers

Share
ICIP
2008
IEEE

Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation

9 years 4 months ago
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation
The segmentation of the heart's left ventricle (LV) chamber in several medical imaging modalities, e.g. Ultrasound (US) and Magnetic Resonance (MRI), is important from a clinical point of view in the diagnosis of certain cardiopathies. Manual segmentation is difficult, not accurate and time consuming. Therefore, automatic segmentation and tracking during cardiac cycles is needed. In this paper an automatic algorithm to segment the LV boundary along a cardiac cycle from ultrasound image sequences is used and a Bayesian despeckling algorithm is proposed. The prior parameter of the Bayesian filter is automatically estimated and an automatic window size selection strategy in used to adapt its dimension to the statistical characteristics of the image in the vicinity of the deformable contour model which segments the LV boundary. Sequences of real ultrasound images are used to illustrate the effectiveness of the approach and a comparison with other state-of-the-art filtering algorithms...
Jacinto Nascimento, João Sanches
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Jacinto Nascimento, João Sanches
Comments (0)
books