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http://dx.doi.org/10.5762/KAIS.2013.14.1.223

A Study on Usefulness of Diffusion Tensor Imaging (DTI6D) in Brain Ischemic Disease  

Goo, Eunhoe (Department of Radiological Science, Cheongju University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.1, 2013 , pp. 223-228 More about this Journal
Abstract
We evaluated the usefulness of $DTI_{6D}$ which was acquiring six direction diffusion data through compared to $DWI_{3D}$. Mean SNR and CNR were on $DWI_{3D}$ and $DTI_{6D}$ $44.01{\pm}13.36$, $37.15{\pm}11.44$ (p=0.029) and $18.47{\pm}9.66$, $19.88{\pm}9.20$(p=0.017). The number of lesions were $311{\pm}26.87$, $224.5{\pm}26.16$(p=0.041) on $DTI_{6D}$ and $DWI_{3D}$. Twenty patients were the more detected brain infarction lesion on $DTI_{6D}$. But there is no one the more detected on $DWI_{3D}$. And the more three direction diffusion data could get more information. However, we need to consider about the time consumption compared to DWI.
Keywords
Contrast to Noise Ratio; Diffusion Weighted Image; Diffusion Tensor Image; Signal to Noise Ratio;
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Times Cited By KSCI : 7  (Citation Analysis)
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1 H. Y. Choi, D. S. Choi, J. W. Ryoo, et al., "Diffusion-weighted MR of Hypoxic-Ischemic Encephalopathy", J. Korean Soc. Magn. Reson. Med., Vol. 12, No. 1, pp. 49-53, 2008.   과학기술학회마을
2 A. Drier, T. Tourdias, I. Sibon, et al., "Prediction of Subacute Infarct Size in Acute Middle Cerebral Artery Stroke: Comparison of Perfusion-weighted Imaging and Apparent Diffusion Coefficient Maps", Radiology, Vol. 265, No. 2, pp. 511-517, 2012. DOI: http://dx.doi.org/10.1148/radiol.12112430   DOI   ScienceOn
3 P. W. Schaefer, P. Ellen Grant, and R. Gilberto Gonzalez, "Diffusion-weighted MR Imaging of the Brain", Radiology, Vol. 217, No. 2, pp. 331-345, 2000.   DOI   ScienceOn
4 W. S. Jun, "Anisotropy Measurement and Fiber Tracking of the White Matter by Using Diffusion Tensor MR Imaging: Influence of the Number of Diffusion-Sensitizing Gradient Direction", J. Korean Soc. Magn. Reson. Med., Vol. 10, No. 1, pp. 1-7, 2006.   과학기술학회마을
5 A. G. Sorensen, Ona Wu, W. A. Copen, et al., "Human Acute Cerebral Ischemia: Detection of Changes in Water Diffusion Anisotropy by Using MR Imaging", Radiology, Vol. 212, No. 3, pp. 785-792, 1999.   DOI   ScienceOn
6 D. G. Na, Eung Yeop Kim, Jae Wook Ryoo, et al., "CT Sign of Brain Swelling without Concomitant Parenchymal Hypoattenuation: Comparison with Diffusionand Perfusion-weighted MR Imaging", Radiology, Vol. 235, No. 3, pp. 992-948, 2005.   DOI   ScienceOn
7 S. K. Lee, "Clinical application of Diffusion Tensor Imaging MRI", J. Korean Soc. Magn. Reson. Med., Vol. 6, No 2, pp. 114-110, 2002.   과학기술학회마을
8 Y. Liu, "Subarachnoid Hemorrhage in the Subacute Stage: Elevated Apparent Diffusion Coefficient in Normal-appearing Brain Tissue after Treatment", Radiology, Vol. 242, No. 2, pp. 518-525, 2007. DOI: http://dx.doi.org/10.1148/radiol.2422051698   DOI   ScienceOn
9 S. J. Price, "Imaging biomarkers of brain tumour margin and tumour invasion", British Journal of Radiology, Vol. 84, No. 2, pp. 159-S167, 2011. DOI: http://dx.doi.org/10.1259/bjr/26838774   DOI   ScienceOn
10 I. C. Song, "Theoretical and Experimental study on Diffusion Tensor Imaging Technique", J. Korean Soc. Magn. Reson. Med., Vol. 6, No. 2, pp. 107-113, 2002.   과학기술학회마을
11 A. Stadlbauer, "Fiber Density Mapping of Gliomas: Histopathologic Evaluation of a Diffusion-Tensor Imaging Data Processing Method", Radiology, Vol. 257, No. 3, pp. 846-853, 2010. DOI: http://dx.doi.org/10.1148/radiol.10100343   DOI   ScienceOn
12 R. J. Sevick, F. Kanda, J. Mintorovitch, et al., "Cytotoxic brain edema: assessment with diffusion weighted MR imaging", Radiology, Vol. 185, No. 3, pp.687-690, 1992.   DOI
13 L. Tang, X. P. Zhang, Y. S. Sun, et al., "Gastrointestinal Stromal Tumors Treated with Imatinib Mesylate: Apparent Diffusion Coefficient in the Evaluation of Therapy Response in Patients", Radiology, Vol. 258, No. 3, pp. 729-738, 2011. DOI: http://dx.doi.org/10.1148/radiol.10100402   DOI   ScienceOn
14 H. Chalian, S. M. Tochetto, H. G. Tore, et al., "Hepatic Tumors: Region-of-Interest versus Volumetric Analysis for Quantification of Attenuation at CT", Radiology, Vol. 262, No. 3, pp. 853-861, 2012.   DOI
15 M. A. Rocca, M. Absinta, L. Moiola, et al., "Functional and Structural Connectivity of the Motor Network in Pediatric and Adult-Onset Relapsing-Remitting Multiple Sclerosis", Radiology, Vol. 254, No. 2, pp. 541-550, 2010. DOI: http://dx.doi.org/10.1148/radiol.09090463   DOI   ScienceOn
16 E. R. Melhem, "Diffusion tensor imaging of the brain: effect of diffusion weighting on trace andanisotropy measurement", AJNR Am J Neuroradiol, Vol. 21, No. 18, pp. 1813-1820, 2000.
17 C. Pierpaoli, "Toward a quantitative assessment of diffusion anisotropy". Magn Reson Med, Vol. 36, No. 6, pp. 893-906, 1996. DOI: http://dx.doi.org/10.1002/mrm.1910360612   DOI   ScienceOn
18 I. S. Kim, "Image Reconstruction of Eigenvalue of Diffusion Principal Axis using Diffusion Tensor Imaging", J. Korean Soc. Magn. Reson. Med., Vol. 11, No 2, pp. 110-118, 2007.   과학기술학회마을
19 S. H. Heo, "Acute Cerebral Infarction in a Rabbit Model: Perfusion and Diffusion MR Imaging", J. Korean Soc. Magn. Reson. Med., Vol. 7, No 2, pp. 116-123, 2003.   과학기술학회마을
20 S. K. Lee, "Measurement of Fractional Anisotropy in Normal Cerebral White Matter and Brain Tumors with Diffusion Tensor Imaging", J. Korean Soc. Magn. Reson. Med., Vol. 7, No 2, pp. 147-153, 2002.
21 M. E. Moseley, J. Kucharczyk, j. Mintorovitch, et al., "Diffusion weighted MR imaging of acute stroke: correlation with T2 weighted and magnetic susceptibility-enhanced MR imaging in cats", AJNR. Am. J. Neuroradiol., Vol. 11, No. 3, pp. 422-432, 1990.
22 C. H. Sotak, "The role of diffusion tensor imaging in the evaluation of ischemic brain injury: a review", NMR Biomed., Vol. 15, No. 7, pp. 561-569, 2002. DOI: http://dx.doi.org/10.1002/nbm.786   DOI   ScienceOn
23 W. S. Jun, "Anisotropy Measurement and Fiber Tracking of the White Matter by Using Diffusion Tensor MR Imaging: Influence of the Number of Diffusion-Sensitizing Gradient Direction", J. Korean Soc. Magn. Reson. Med., Vol. 10, No. 1, pp. 1-7, 2006.   과학기술학회마을
24 S. Naganawa, "Optimization of diffusion-tensor MR imaging data acquisition parameters for brain fiber tracking using parallel imaging at 3 T", Eur Radiol, Vol. 14, No. 2, pp. 234-238, 2004. DOI: http://dx.doi.org/10.1007/s00330-003-2163-6   DOI   ScienceOn
25 Hasan KM, "Comparison of gradient encoding schemes for diffusion-tensor MRI", J Magn Reson Imaging, Vol. 13, No. 5, pp. 769-780, 2001. DOI: http://dx.doi.org/10.1002/jmri.1107   DOI   ScienceOn
26 P. W. Schaefer, P. E. Grant, R. G. Gonzalez, "Diffusion-weighted MR imaging of the brain", Radiology, Vol. 217, No. 2, pp. 331-345, 2002.