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-  2018 

基于回顾性心电门控计算机断层摄影四维数据采集和结构化稀疏算法的心脏容积时间关系研究

DOI: doi:10.7507/1001-5515.201710042

Keywords: 四维计算机断层摄影图像, 回顾性心电门控, 结构化稀疏算法, 容积时间关系

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Abstract:

本文拟研究心脏全心动周期各房室容积与时间的关系,用于指导动态心脏体模的运动测控。本课题组共筛选 50 例试验对象以回顾性心电门控技术采集 20 个时相的心脏计算机断层摄影造影(CTA)图像,利用心功能分析软件测量心脏全心动周期各房室容积值。将患者按照性别、年龄、体重、身高、心率等因素分组,采用重复测量设计方法进行统计学分析,利用结构化稀疏算法拟合容积时间关系的数学表达式。研究结果显示,以性别、年龄、体重、身高和心率分组,在时间点上各房室容积值的差异均具有统计学意义(P = 0.000);时间因素与性别分组在左心室存在交互作用(F = 8.597,P = 0.006),其余分组与时间因素不存在交互作用;右心室在不同体重分组之间容积值的差异具有统计学意义(F = 9.004,P = 0.005),其余各分组之间容积值的差异均无统计学意义。其次,以结构化稀疏算法与最小二乘法拟合的心脏各房室容积时间关系式的准确度相当,但前者拟合结果的表达式更简洁,其基函数的非零元个数仅为最小二乘法的 2.2%,且鲁棒性测试表明,拟合结果鲁棒性可靠。基于本文以上研究结果提出,若将拟合关系式用于心脏运动测控或能更准确模拟动态心脏的运动规律,为动态心脏体模运动仿真的测控装置研究奠定了一定的理论基础

References

[1]  1. Lee Y J, Lim Y S, Lim H W, et al. Diagnostic accuracy of 64-slice multidetector CT angiography for detection of in-stent restenosis of vertebral artery ostium stents: comparison with conventional angiography. Acta radiol, 2014, 55(8): 1000-1007.
[2]  2. Andreini D, Pontone G, Mushtaq S, et al. Diagnostic accuracy of multidetector computed tomography coronary angiography in 325 consecutive patients referred for transcatheter aortic valve replacement. Am Heart J, 2014, 168(3): 332-339.
[3]  3. Lee A M, Beaudoin J, Engel L C, et al. Assessment of image quality and radiation dose of prospectively ECG-triggered adaptive dual-source coronary computed tomography angiography (cCTA) with arrhythmia rejection algorithm in systole versus diastole: a retrospective cohort study. Int J Cardiovasc Imaging, 2013, 29(6): 1361-1370.
[4]  4. Beitzke D, Berger-Kulemann V, Schoepf V, et al. Dual-source cardiac computed tomography angiography (CCTA) in the follow-up of cardiac transplant: comparison of image quality and radiation dose using three different imaging protocols. Eur Radiol, 2015, 25(8): 2310-2317.
[5]  5. Begemann P G C, Stevendaal U V, Manzke R, et al. Evaluation of spatial and temporal resolution for ECG-gated 16-row multidetector CT using a dynamic phantom. EurRadiol, 2005, 15: 1015-1026.
[6]  6. 赵鹏, 郎朗, 潘文才, 等. 基于动态心脏体模的冠脉 CTA 成像后处理软件质量评估//中国医学装备协会第二十五届学术年会, 贵阳: 中国医学装备协会, 2016: 58-62.
[7]  7. Bassingthwaighte J B, Design and strategy for the cardionome project. Analytical and Quantitative Cardiology, 1997, 430: 325-339.
[8]  8. 张璞, 万国庆, 孙劼. 简述动态心脏模体在医学成像中的应用//全国射线数字成像技术研讨会论文集, 厦门: 中国体视学学会CT理论与应用分会, 2014: 211-216.
[9]  9. Wood P W, Gibson P H, Becher H. Three-dimensional echocardiography in a dynamic heart phantom: comparison of five different methods to measure chamber volume using a commercially available software. Echo Research and Practice, 2014, 1(2): 51-60.
[10]  10. 陈圆圆. 新型心脏动态体模的设计与临床应用, 泰山: 泰山医学院, 2009.
[11]  11. Horiguchi J, Shen Y, Akiyama Y, et al. Electron beam CT versus 16-MDCT on the variability of repeated coronary artery calcium measurements in a variable heart rate phantom. American Journal of Roentgenology, 2005, 185(4): 995-1000.
[12]  12. 葛夕洪, 廖静敏, 吴胜勇, 等. 心率不稳定时 3 种不同重建算法对影像质量的影响: MSCT 动态心脏体模研究. 实用放射学杂志, 2007, 23(6): 831-834.
[13]  13. Zhen Xiantong, Zhang Heye, Islam A, et al. Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression. Med Image Anal, 2017, 36: 184-196.
[14]  14. 徐跃, 梁碧玲, 赵强, 等. 医学影像设备学, 译. 第 3 版. 北京: 人民卫生出版社, 2010: 122-135.
[15]  15. Husmann L, Leschka S, Desbiolles L, et al. Heart rate-implications for CT image reconstruction. Radiology, 2007, 245(2): 567-576.
[16]  16. Qiao Linbo, Zhang Bofeng, Su Jinshu, et al. A systematic review of structured sparse learning. Frontiers of Information Technology & Electronic Engineering, 2017, 18(4): 445-463.
[17]  17. 毕超, 冯玉田, 李园辉, 等. 语音信号的分块稀疏表示分类研究. 计算机技术与发展, 2017, 3: 44-47.
[18]  18. Xiao J J, Stolkin R, Gao Y, et al. Robust fusion of color and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints. IEEE Transactions on Cybernetics, 2017, 99: 1-15.
[19]  19. Jiang B, Ma S Q, Causey J, et al. SparRec: an effective matrix completion framework of missing data imputation for GWAS, Scientific Reports, 2016, 9: 35534.
[20]  20. Fan J Q, Li R Z. Variable selection via nonconcave penalized likelihood and its oracle properties. J Am Stat Assoc, 2001, 96(456): 1348-1360.
[21]  21. Lin Tianyi, Ma Shiqian, Zhang Shuzhong. On the global linear convergence of the admm with multiblock variables. SIAM Journal on Optimization, 2015, 25(3): 1478-1497.
[22]  22. Kim S, Chang Yongjin, Ra J B. Cardiac motion correction based on partial angle reconstructed images in x-ray CT. Med Phys, 2015, 42(5): 2560-2571.
[23]  23. Aghayev A, Murphy D J, Keraliya A R. Recent developments in the use of computed tomography scanners in coronary artery imaging. Expert Rev Med Devices, 2016, 13(6): 545-553.
[24]  24. Yamamoto S, Hamada S, Miyamoto M, et al. A new approach towards volumetric assessment of left ventricular function with MSCT. Biomed Imaging Interv J, 2006, 2(3): e50.

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