Cardiac Motion Estimation in Magnetic Resonance Images Using Optical Flow.
- Authors
- Medina Molina, Rub?n de Jes?s
- Format
- Article
- Status
- publishedVersion
- Description
This paper reports an optical based method for quantification of cardiac motion in MRI images. The cardiac motion is quantified in Short-Axis (SAX) slices located at the base, mid-cavity and apex of the left ventricle. In each selected slice, the left ventricle wall is segmented for extracting the endocardium, the epicardium and the mid?wall. The velocity field for these contours is available after performing the optical flow estimation for the given slice. Post-processing of this motion field enables estimation of the radial displacement. The core of this cardiac motion quantification method is a sparse based algorithm for optical flow estimation. This algorithm is presented and compared with respect to several classical optical flow estimation algorithms. The comparison is performed using several video sequences available from the Middlebury and Sintel benchmarks where the ground truth optical flow is known. The sparse based algorithm is also tested using a 4?D cardiac Magnetic Resonance Image (MRI) sequence and tagged MRI images. Results show that the sparse algorithm estimates an optical flow field that represents the motion of contraction during the systole interval. Moreover, results about radial displacement estimation on real MRI sequences for normal and abnormal subjects show that the proposed quantification method could be useful for quantification of left ventricle motion as a tool for cardiac diseases diagnostics.
http://ieeexplore.ieee.org/document/7555259/
- Publication Year
- 2016
- Language
- spa
- Topic
- OPTICAL FLOW
CARDIAC MOTION
MEDICAL IMAGING
SPARSE METHODS
LEFT VENTRICLE
MAGNETIC RESONANCE IMAGING
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License
- openAccess