An Adapted Optical Flow Algorithm for Robust Quantification of Cardiac Wall Motion From Standard Cine-MR Examinations

• Published in: IEEE transactions on information technology in biomedicine Vol. 16; no. 5; pp. 859 - 868
• Main Authors: Xavier, M., Lalande, A., Walker, P. M., Brunotte, F., Legrand, L.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2012; Institute of Electrical and Electronics Engineers
• Subjects: Adult; Algorithms; Brightness; Cine-MRI; Computer Science; Computer vision; Female; Heart; Heart - anatomy & histology; Heart - physiology; Human health and pathology; Humans; Image motion analysis; Image Processing, Computer-Assisted; Image Processing, Computer-Assisted - methods; Life Sciences; Magnetic Resonance Imaging, Cine; Magnetic Resonance Imaging, Cine - methods; Male; Mathematical analysis; Medical Imaging; Middle Aged; motion estimation; Myocardium; Noise; Optical filters; optical flow (OF); Optical imaging; Precession; Robustness
• ISSN: 1089-7771; 1558-0032; 1558-0032
• DOI: 10.1109/TITB.2012.2204893

This paper presents a method for local myocardial motion estimation from a conventional steady-state free precession cine-MRI sequence using a modified phase-based optical flow (OF) technique. Initially, the technique was tested on synthetic images to evaluate its robustness with regards to Rician noise and to brightness variations. The method was then applied to cardiac images acquired on 11 healthy subjects. Myocardial velocity is measured in centimeter per second in each studied pixel and visualized as colored vectors superimposed on MRI images. The estimated phase-based OF results were compared with a reference OF method and gave similar results on synthetic images, i.e., without a significant difference of the mean angular error. Applied on cine-MRI of normal hearts, the calculated velocities from short-axis images concord with values obtained in the literature. The advantage of the presented method is its robustness with respect to Rician noise and to brightness changes often observed in cine-MRI sequences, and especially with the through-plane movement of the heart. Motion assessment using our method on cine-MR images gives promising results on motion estimation on a pixel-by-pixel basis, leading to a regional measurement of the time-velocity course of myocardial displacement in different segments of the heart wall.