题名

4D左心室心肌運動變量模型之應用

并列篇名

Four-dimensional Wall Motion Model for Application of Left Ventricular Myocardial Function

作者

曾華淵(Hua-Yuan Tseng);簡士凱(Shih-Kai Chien);胡威志(Wei-Chih Hu)

关键词

左心室重塑 ; 心肌運動 ; 纖維化組織 ; Left ventricular remodeling ; Myocardial wall motion ; Fibrotic tissue

期刊名称

先進工程學刊

卷期/出版年月

15卷1期(2020 / 04 / 01)

页次

41 - 51

内容语文

繁體中文

中文摘要

心室重塑與整體心肌的受力分配不均有顯著關係,若能找出心肌運動不良的區域,對於心室重塑的預防與監測能提供另一種參考資訊。本研究利用電腦斷層影像建構四維心肌運動模擬工具,藉由計算左心室各區域心肌的運動變化量進行運動功能的評估,低運動量區域即為心肌受損處。透過探討低運動量區域與術後纖維化區域的相關性,本研究發現患者手術後部位,約有40%不會產生纖維化組織,但心肌損傷較嚴重時,即使無纖維化組織產生,仍然會表現出低運動量狀態;其餘60%則具有纖維化區域,此區必定會發生低運動量狀態,且低運動量區域位置與纖維化區域位置必定重疊。此外本研究也觀察到心肌運動量下降會導致低運動量區域的半徑變化率比健康區域低。結果表明本研究的模擬工具能夠有效評估心肌運動功能狀態與纖維化區域位置,對於評量左心室運動有可行性。

英文摘要

Regional dysfunction of myocardium will be leading to functional abnormality of cardiac wall motion that is one of the risk factors for ventricular remodeling and heart failure. This study sought to characterize global and regional systolic function abnormalities. The self-developed 4D image processing software will be extracting the wall motion of left ventricle from a 4D cardiac images. The region of wall motion less than 2mm that was lower than average will be labeled the scar position. Four data set of fibrotic scar delay enhanced cardiac images and 4D cardiac wall motion images was used to test this non-invasive method of early detection cardiac abnormality. The patient after surgery with fibrotic scar tissue necessarily has lower myocardial motion value. However, fibrotic scar tissue will not show up in 40% of patients after surgery but the operated area may still have lower myocardial motion. The detection wall motion could effectively reflect the dysfunction of myocardium. Thus, this study provides a new approach to assess the degree and site dysfunction area of myocardium.

主题分类 工程學 > 工程學綜合
工程學 > 工程學總論
工程學 > 土木與建築工程
工程學 > 機械工程
工程學 > 化學工業
参考文献
  1. Fan, H. P.,Zeng, G. H.,Body, M.,Hacid, M. S.(2005).Seeded region growing: an extensive and comparative study.Pattern Recognition Letters,26,1139-1156.
  2. Huang, J.,Abendschein, D.,Davila-Roman, V. G.,Amini, A. A.(1999).Spatio-temporal tracking of myocardial deformations with a 4-D B-spline model from tagged MRI.IEEE Transactions on Medical Imaging,18,957-972.
  3. Jahanzad, Z.,Liew, Y. M.,Bilgen, M.,McLaughlin, R. A.,Leong, C. O.,Chee, K. H.(2015).Regional assessment of LV wall in infarcted heart using tagged MRI and cardiac modelling.Physics in Medicine and Biology,60,4015-4031.
  4. Komatsu, Y.,Jadidi, A.,Sacher, F.,Denis, A.,Daly, M.,Derval, N.(2014).Relationship Between MDCT-Imaged Myocardial Fat and Ventricular Tachycardia Substrate in Arrhythmogenic Right Ventricular Cardiomyopathy.Journal of the American Heart Association,3
  5. MacIver, D. H.(2011).A new method for quantification of left ventricular systolic function using a corrected ejection fraction.European Journal of Echocardiography,12,228-234.
  6. Murta Junior, L. O.,Ruiz, E. E. S.,Pazin Filho, A.,Schmidt, A.,Almeida Filho, O. C.,Simões, M. V.(2006).Quantitative analysis of segmental left ventricular wall motion using a polar representation of color kinesis images.Rev. bras. eng. biomed,22,5-11.
  7. Pan, L.,Prince, J. L.,Lima, J. A.,Osman, N. F.(2005).Fast tracking of cardiac motion using 3D-HARP.IEEE transactions on Biomedical Engineering,52,1425-1435.
  8. Papademetris, X.,Sinusas, A. J.,Dione, D. P.,Constable, R. T.,Duncan, J. S.(2002).Estimation of 3-D left ventricular deformation from medical images using biomechanical models.IEEE transactions on medical imaging,21,786-800.
  9. Park, J.,Metaxas, D.,Young, A. A.,Axel, L.(1996).Deformable models with parameter functions for cardiac motion analysis from tagged MRI data.IEEE Transactions on Medical Imaging,15,278-289.
  10. Park, J.,Metaxas, D.,Young, A.,Axel, L.(1994).Model-based analysis of cardiac motion from tagged MRI data.Proceedings 1994 IEEE Seventh Symposium on
  11. Pizer, S. M.,Fletcher, P. T.,Joshi, S.,Thall, A.,Chen, J. Z.,Fridman, Y.(2003).Deformable m-reps for 3D medical image segmentation.International journal of computer vision,55,85-106.
  12. Smith, M. F.(2000).The effect of contraction and twist on myocardial PET and SPECT image resolution: a mathematical phantom study.IEEE transactions on nuclear science,47,1646-1654.
  13. Verhaeghe, J.,D'Asseler, Y.,Staelens, S.,Vandenberghe, S.,Lemahieu, I.(2007).Reconstruction for gated dynamic cardiac PET imaging using a tensor product spline basis.Ieee Transactions on Nuclear Science,54,80-91.
  14. Watabe, H.,Sato, A.,Nishina, H.,Hoshi, T.,Sugano, A.,Kakefuda, Y.(2016).Enhancement patterns detected by multidetector computed tomography are associated with microvascular obstruction and left ventricular remodelling in patients with acute myocardial infarction.European Heart Journal,37,684-692.
  15. Yagi, K.,Sawaki, Y.,Inaba, T.,Tokuda, M.,Yamamoto, A.,Sekioka, K.(2000).Torsion and strain analysis of left ventricular wall at ejection period by using optical-flow.Micromechatronics and Human Science, 2000. MHS 2000. Proceedings of 2000 International Symposium on
  16. 馬銘徽(2010)。中原大學醫學工程所。
  17. 楊博程(2009)。中原大學醫學工程所。