Myocardial strains from 3D displacement encoded magnetic resonance imaging
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- 作者：Katarina Kindberg (1) (2)
Henrik Haraldsson (1) (2) (3)
Andreas Sigfridsson (2) (3)
Jan Engvall (3)
Neil B Ingels Jr (4) (5)
Tino Ebbers (1) (2) (3) (6)
Matts Karlsson (1) (2) - 刊名：BMC Medical Imaging
- 出版年：2012
- 出版时间：December 2012
- 年：2012
- 卷：12
- 期：1
- 全文大小：1317KB
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23. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2342/12/9/prepub - 作者单位：Katarina Kindberg (1) (2)
Henrik Haraldsson (1) (2) (3)
Andreas Sigfridsson (2) (3)
Jan Engvall (3)
Neil B Ingels Jr (4) (5)
Tino Ebbers (1) (2) (3) (6)
Matts Karlsson (1) (2)
1. Department of Management and Engineering, Link枚ping University, SE-581 83, Link枚ping, Sweden
2. Center for Medical Image Science and Visualization (CMIV), Link枚ping University, SE-581 85, Link枚ping, Sweden
3. Department of Medical and Health Sciences, Link枚ping University, SE-581 85, Link枚ping, Sweden
4. Department of Cardiothoracic Surgery, School of Medicine, Stanford University, Stanford, CA, 94305, USA
5. Research Institute of the Palo Alto Medical Foundation, Palo Alto, CA, 94305, USA
6. Department of Science and Technology, Link枚ping University, SE-581 83, Link枚ping, Sweden
文摘
Background The 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. Methods We 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. Results The 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. Conclusions Strain 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.