Elastic Registration Method to Compute Deformation Functions for Mitral Valve_Journal of Biomedical Engineering

Authors：

YANGJinyu ¹ ,  ZHANGWan ² , YINRan ² , DENGYuxiao ² , WEIYunfeng ² , ZENGJunyi ² , WENTong ² , DINGLu ² , LIUXiaojian ² , LIYipeng ³

1. The Third Hospital of Nanchang, Nanchang 330009, China;
2. The First Affiliated Hospital of Nanchang University, Nanchang 330006, China;
3. Jiangxi Electric Power Research Institute, Nanchang 330096, China;

Corresponding author：

ZHANGWan, Email: wzhang21@163.com

Keywords：

mitral valve; ultrasound imaging; elastic registration

DOI：

10.7507/1001-5515.20140214

Video：

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Mitral valve disease is one of the most popular heart valve diseases. Precise positioning and displaying of the valve characteristics is necessary for the minimally invasive mitral valve repairing procedures. This paper presents a multi-resolution elastic registration method to compute the deformation functions constructed from cubic B-splines in three dimensional ultrasound images, in which the objective functional to be optimized was generated by maximum likelihood method based on the probabilistic distribution of the ultrasound speckle noise. The algorithm was then applied to register the mitral valve voxels. Numerical results proved the effectiveness of the algorithm.

Citation： YANGJinyu, ZHANGWan, YINRan, DENGYuxiao, WEIYunfeng, ZENGJunyi, WENTong, DINGLu, LIUXiaojian, LIYipeng. Elastic Registration Method to Compute Deformation Functions for Mitral Valve. Journal of Biomedical Engineering, 2014, 31(5): 1135-1138. doi: 10.7507/1001-5515.20140214 Copy

1.	BEAUDOIN J, HANDSCHUMACHER M D, ZENG X, et al. Mitral valve enlargement in chronic aortic regurgitation as a compensatory mechanism to prevent functional mitral regurgitation in the dilated left ventricle[J]. J Am Coll Cardiol, 2013, 61(17): 1809-1816.
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3.	TAMBURINO C, USSIA G P, MAISANO F, et al. Percutaneous mitral valve repair with the MitraClip system: acute results from a real world setting[J]. Eur Heart J, 2010, 31(11): 1382-1389.
4.	朱磊,杨新,姚莉萍,等.基于实时三维超声图像的二尖瓣环重建及运动分析[J].生物医学工程学杂志,2008,25(6):1235-1241.
5.	BEHAR V, ADAM D, LYSYANSKY P, et al. The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals[J]. Ultrasonics, 2004, 41(9): 743-753.
6.	COHEN B, DINSTEIN I. New maximum likelihood motion estimation schemes for noisy ultrasound images[J]. Pattern Recogn, 2002, 35(2): 455-463.
7.	YAP P T, WU G, ZHU H, et al. F-timer: fast tensor image morphing for elastic registration[J]. IEEE Trans Med Imaging, 2010, 29(5): 1192-1203.
8.	CHAPPELOW J, BLOCH B N, ROFSKY N, et al. Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information[J]. Med Phys, 2011, 38(4): 2005-2018.
9.	SUFFOLETTO M S, DOHI K, CANNESSON M, et al. Novel speckle-tracking radial strain from routine black-and-white echocardiographic images to quantify dyssynchrony and predict response to cardiac resynchronization therapy[J]. Circulation, 2006, 113(7): 960-968.
10.	王建华,刘昕,巩晓红.二维斑点追踪技术测量二尖瓣环位移:评价左心室整体收缩功能的新方法[J].中国医学影像技术,2009,25(9): 1604-1607.
11.	吴卫华,黄艳,陆静,等.斑点追踪法测量二尖瓣环位移评估左心室收缩功能[J].中国医学影像技术,2010,26(1): 79-81.
12.	汪芳,李靖,曾杰,等.二尖瓣环自动追踪技术对正常人左心室收缩功能分析[J].中国超声医学杂志,2008,24(5): 412-414.

1. BEAUDOIN J, HANDSCHUMACHER M D, ZENG X, et al. Mitral valve enlargement in chronic aortic regurgitation as a compensatory mechanism to prevent functional mitral regurgitation in the dilated left ventricle[J]. J Am Coll Cardiol, 2013, 61(17): 1809-1816.
2. FRANZEN O, BALDUS S, RUDOLPH V, et al. Acute outcomes of MitraClip therapy for mitral regurgitation in high-surgical-risk patients: emphasis on adverse valve morphology and severe left ventricular dysfunction[J]. Eur Heart J, 2010, 31(11): 1373-1381.
3. TAMBURINO C, USSIA G P, MAISANO F, et al. Percutaneous mitral valve repair with the MitraClip system: acute results from a real world setting[J]. Eur Heart J, 2010, 31(11): 1382-1389.
4. 朱磊,杨新,姚莉萍,等.基于实时三维超声图像的二尖瓣环重建及运动分析[J].生物医学工程学杂志,2008,25(6):1235-1241.
5. BEHAR V, ADAM D, LYSYANSKY P, et al. The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals[J]. Ultrasonics, 2004, 41(9): 743-753.
6. COHEN B, DINSTEIN I. New maximum likelihood motion estimation schemes for noisy ultrasound images[J]. Pattern Recogn, 2002, 35(2): 455-463.
7. YAP P T, WU G, ZHU H, et al. F-timer: fast tensor image morphing for elastic registration[J]. IEEE Trans Med Imaging, 2010, 29(5): 1192-1203.
8. CHAPPELOW J, BLOCH B N, ROFSKY N, et al. Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information[J]. Med Phys, 2011, 38(4): 2005-2018.
9. SUFFOLETTO M S, DOHI K, CANNESSON M, et al. Novel speckle-tracking radial strain from routine black-and-white echocardiographic images to quantify dyssynchrony and predict response to cardiac resynchronization therapy[J]. Circulation, 2006, 113(7): 960-968.
10. 王建华,刘昕,巩晓红.二维斑点追踪技术测量二尖瓣环位移:评价左心室整体收缩功能的新方法[J].中国医学影像技术,2009,25(9): 1604-1607.
11. 吴卫华,黄艳,陆静,等.斑点追踪法测量二尖瓣环位移评估左心室收缩功能[J].中国医学影像技术,2010,26(1): 79-81.
12. 汪芳,李靖,曾杰,等.二尖瓣环自动追踪技术对正常人左心室收缩功能分析[J].中国超声医学杂志,2008,24(5): 412-414.

Journal of Biomedical Engineering

Elastic Registration Method to Compute Deformation Functions for Mitral Valve

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