DocumentCode :
3562228
Title :
Automatic correction of motion artifacts in 4D left ventricle model reconstructed from MRI
Author :
Yi Su ; May-Ling Tan ; Chi-Wan Lim ; Soo-Kng Teo ; Selvaraj, Senthil Kumar ; Min Wan ; Liang Zhong ; Ru-San Tan
Author_Institution :
Inst. of High Performance Comput., A*STAR, Singapore, Singapore
fYear :
2014
Firstpage :
705
Lastpage :
708
Abstract :
This paper describes a computer method to correct the shape of three-dimensional (3D) left ventricle (LV) models created from magnetic resonance imaging (MRI) data that is affected by patient motion during scanning. Three-dimensional meshes of the LV endocardial and epicardial surfaces are created from border-delineated MRI data at every time frame of the cardiac cycle to generate a time-series model of the heart. A geometrically-based approach is used to achieve smooth epicardial shapes by iterative in-plane translation of vertices in the LV model. The Principal Curvatures of the LV epicardial surfaces across multiple time frames are used to construct a shape-based optimization objective function to restore the shape of the LV via a dual-resolution semi-rigid deformation process and a free-form geometric deformation process. A limited memory quasi-Newton algorithm, L-BFGS-B, is then used to solve the optimization problem. We tested our algorithm on 9 patient-specific models and it was able to correct motion artifacts without altering the general shape of the heart, such as its asymmetrical shape. The magnitudes of in-plane translations (Δx = 0.972±0.857 mm and Δy = 1.306±1.290 mm in the x- and y-directions, respectively) are also within the range of published experimental findings. The average computational time to correct each 4D model is 6 min 34 s.
Keywords :
biomedical MRI; cardiology; image reconstruction; medical image processing; motion compensation; optimisation; 3D meshes; 4D left ventricle model; LV endocardial surfaces; LV epicardial surfaces; MRI reconstruction; Principal Curvatures; dual resolution semirigid deformation process; free form geometric deformation process; limited memory quasiNewton algorithm; magnetic resonance imaging; motion artifacts automatic correction; optimization problem; patient motion; Abstracts; Biomedical imaging; Equations; Image restoration; Magnetic resonance imaging; Optimization; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
ISSN :
2325-8861
Print_ISBN :
978-1-4799-4346-3
Type :
conf
Filename :
7043140
Link To Document :
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