Title :
Left Ventricular Strain Analysis from Cine MRI
Author :
Zhang, Shi ; Ma, Yue ; Wang, Gang ; Guo, Yubei
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, based on the ideas of image texture analysis and motion tracking, we present a new method for left ventricular (LV) strain analysis from cine magnetic resonance images(MRI). First, the marking points are extracted with the Harris corner detector on or close to the endocardium and epicardium. Second, using the tree-structured wavelet algorithm, the corresponding marking points are matched automatically and the sparse displacement field is calculated precisely between the consecutive frames. Next, applying radial point interpolation with polynomial basis functions, which is used in the meshfree method, the dense displacement field is interpolated. Finally, LV strains is analyzed. The experimental results show that our method is feasible and effective.
Keywords :
biomechanics; biomedical MRI; cardiology; image motion analysis; image texture; medical image processing; strain measurement; wavelet transforms; Harris corner detector; cine MRI; endocardium; epicardium; image motion tracking; image texture analysis; left ventricular strain analysis; magnetic resonance images; polynomial basis functions; radial point interpolation; sparse displacement field; tree-structured wavelet algorithm; Capacitive sensors; Image analysis; Image motion analysis; Image texture analysis; Magnetic analysis; Magnetic field induced strain; Magnetic resonance; Magnetic resonance imaging; Motion analysis; Tracking;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5305022