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Objective: We wanted to evaluate the effect of the number of diffusion-sensitizing gradient directions on the image quality for evaluating myocardial anisotropy and fiber tracking by using in vitro diffusion tensor MR imaging (DT-MRI).

Materials and Methods: The DT-MR images, using a SENSE-based echoplanar imaging technique, were acquired from ten excised porcine hearts by using a 3T MR scanner. With a b-value of 800 s/mm2, the diffusion tensor images were obtained for 6, 15 and 32 diffusion-sensitizing gradient directions at the midventricular level. The number of tracked fibers, the fractional anisotropy (FA), and the length of the tracked fibers were measured for the quantitative analysis. Two radiologists assessed the image quality of the fiber tractography for the qualitative analysis.

Results: By increasing the number of diffusion-sensitizing gradient directions from 6 to 15, and then to 32, the FA and standard deviation were significantly reduced (p < 0.01), and the number of tracked fibers and the length of the tracked fibers were significantly increased (p < 0.01). The image quality of the fiber tractography was significantly increased with the increased number of diffusionsensitizing gradient directions (p < 0.01).

Conclusion: The image quality of in vitro DT-MRI is significantly improved as the number of diffusion-sensitizing gradient directions is increased.

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참고문헌 (28건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Relation of regional cross-fiber shortening to wall thickening in the intact heart. Three-dimensional strain analysis by NMR tagging. 네이버 미소장
2 Mechanics of ventricular torsion 네이버 미소장
3 Macro design, structure, and mechanics of the left ventricle 네이버 미소장
4 Fiber orientation in the canine left ventricle during diastole and systole. 네이버 미소장
5 MR diffusion tensor imaging study of postinfarct myocardium structural remodeling in a porcine model 네이버 미소장
6 In vivo measurement of water diffusion in the human heart. 네이버 미소장
7 Imaging myocardial fiber architecture in vivo with magnetic resonance. 네이버 미소장
8 Cardiac diffusion tensor MRI in vivo without strain correction 네이버 미소장
9 Direct histological validation of diffusion tensor MRI in formaldehyde‐fixed myocardium 네이버 미소장
10 Scollan DF, Holmes A, Winslow R, Forder J. Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging. Am J Physiol 1998;275:H2308-H2318 미소장
11 Diffusion tensor MRI of myocardial fibers and sheets: Correspondence with visible cut‐face texture 네이버 미소장
12 Diffusion tensor magnetic resonance imaging mapping the fiber architecture remodeling in human myocardium after infarction: correlation with viability and wall motion. 네이버 미소장
13 Optimization of acquisition parameters of diffusion-tensor magnetic resonance imaging in the spinal cord. 네이버 미소장
14 Study of myocardial fiber pathway using magnetic resonance diffusion tensor imaging 네이버 미소장
15 3-T MR imaging: ready for clinical practice. 네이버 미소장
16 Comparisons of regional white matter diffusion in healthy neonates and adults performed with a 3.0-T head-only MR imaging unit. 네이버 미소장
17 Irreversibly damaged myocardium at MR imaging with a necrotic tissue-specific contrast agent in a cat model. 네이버 미소장
18 Evaluation by Contrast-Enhanced MR Imaging of the Lateral Border Zone in Reperfused Myocardial Infarction in a Cat Model 소장
19 The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. 네이버 미소장
20 Diffusion-tensor fiber tractography: intraindividual comparison of 3.0-T and 1.5-T MR imaging. 네이버 미소장
21 SENSE-DTI at 3 T 네이버 미소장
22 High-resolution diffusion tensor imaging of the brain stem at 3 T. 네이버 미소장
23 SENSE: Sensitivity encoding for fast MRI 네이버 미소장
24 Sensitivity-Encoded Diffusion Tensor MR Imaging of the Cervical Cord 네이버 미소장
25 Naganawa S, Koshikawa T, Kawai H, Fukatsu H, Ishigaki T, Maruyama K, et al. Optimization of diffusion-tensor MR imaging data acquisition parameters for brain fiber tracking using parallel imaging at 3 T. Eur Radiol 2004;14:234-238 미소장
26 Toward a quantitative assessment of diffusion anisotropy. 네이버 미소장
27 Jiang Y, Guccione JM, Ratcliffe MB, Hsu EW. Transmural heterogeneity of diffusion anisotropy in the sheep myocardium characterized by MR diffusion tensor imaging. Am J Physiol Heart Circ Physiol 2007;293:H2377-H2384 미소장
28 Chang Y, Lee YJ, Kim YS, Kang DS, Sohn CH, Woo SK, et al. Histogram analysis of noise performance on fractional anisotropy brain MR image with different diffusion gradient numbers. J Korean Radiol Soc 2005;52:87-92 [Korean] 미소장

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