期刊论文详细信息
BMC Medical Imaging
Myocardial strains from 3D displacement encoded magnetic resonance imaging
Technical Advance
Andreas Sigfridsson1  Neil B Ingels2  Katarina Kindberg3  Matts Karlsson3  Henrik Haraldsson4  Tino Ebbers5  Jan Engvall6 
[1] Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-581 85, Linköping, Sweden;Department of Medical and Health Sciences, Linköping University, SE-581 85, Linköping, Sweden;Department of Cardiothoracic Surgery, School of Medicine, Stanford University, 94305, Stanford, CA, USA;Research Institute of the Palo Alto Medical Foundation, 94305, Palo Alto, CA, USA;Department of Management and Engineering, Linköping University, SE-581 83, Linköping, Sweden;Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-581 85, Linköping, Sweden;Department of Management and Engineering, Linköping University, SE-581 83, Linköping, Sweden;Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-581 85, Linköping, Sweden;Department of Medical and Health Sciences, Linköping University, SE-581 85, Linköping, Sweden;Department of Management and Engineering, Linköping University, SE-581 83, Linköping, Sweden;Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-581 85, Linköping, Sweden;Department of Medical and Health Sciences, Linköping University, SE-581 85, Linköping, Sweden;Department of Science and Technology, Linköping University, SE-581 83, Linköping, Sweden;Department of Medical and Health Sciences, Linköping University, SE-581 85, Linköping, Sweden;
关键词: Left Ventricular Filling;    Reference Configuration;    Myocardial Strain;    Deformation Gradient Tensor;    Short Axis Plane;   
DOI  :  10.1186/1471-2342-12-9
 received in 2011-03-18, accepted in 2012-04-25,  发布年份 2012
来源: Springer
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【 摘 要 】

BackgroundThe ability to measure and quantify myocardial motion and deformation provides a useful tool to assist in the diagnosis, prognosis and management of heart disease. The recent development of magnetic resonance imaging methods, such as harmonic phase analysis of tagging and displacement encoding with stimulated echoes (DENSE), make detailed non-invasive 3D kinematic analyses of human myocardium possible in the clinic and for research purposes. A robust analysis method is required, however.MethodsWe propose to estimate strain using a polynomial function which produces local models of the displacement field obtained with DENSE. Given a specific polynomial order, the model is obtained as the least squares fit of the acquired displacement field. These local models are subsequently used to produce estimates of the full strain tensor.ResultsThe proposed method is evaluated on a numerical phantom as well as in vivo on a healthy human heart. The evaluation showed that the proposed method produced accurate results and showed low sensitivity to noise in the numerical phantom. The method was also demonstrated in vivo by assessment of the full strain tensor and to resolve transmural strain variations.ConclusionsStrain estimation within a 3D myocardial volume based on polynomial functions yields accurate and robust results when validated on an analytical model. The polynomial field is capable of resolving the measured material positions from the in vivo data, and the obtained in vivo strains values agree with previously reported myocardial strains in normal human hearts.

【 授权许可】

Unknown   
© Kindberg et al; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
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