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| The Study of the Blooming Effect in High-Field MRI at 7 T |
| Zhu Yurong1, Gao Yunyu1, Han Jijun1, Wang Jiajia1, XinXuegang1,2#* |
1(School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China)
2(School of Medicine, South China University of Technology, Guangzhou 510006, China) |
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Abstract Magnetic susceptibility can be regarded as an intrinsic property of matter. Different tissues tend to have different magnetic susceptibility due to the differences in composition and structure. Effectively uses of the magnetic susceptibility may provide additional information of the structure and function of the organization. Based on this new imaging contrast mechanism, Susceptibility-weighted imaging emerged. There were some studies that have found that specific tissues could be extended under certain conditions due to the difference in magnetic susceptibility, which was called the blooming effect. As the basis, a comprehensive and accurate assessment of the blooming effect was important for the further application of SWI in clinical. In this paper, the related research of blooming effect was carried out systematically. Combined the silico and the ex-vivo experiment, we built the relationship between the susceptibility, echo times and size with the blooming effect using the number of the pixels and the blooming factor as the evaluation indexes. The silico result showed that, the susceptibility and echo times were positively correlated with the blooming effect. In this experiment, the magnitude and phase blooming factor could be up to 37. But in the model with 0.5 voxel radius, the blooming factor obtained by SWI could be up to 51. In addition, the results of ex-vitro experiments showed that the blooming factor in the diameter of 0.3 mm and 0.46 mm models could be up to 13.25 and 10.75 respectively. So that the smaller the radius of the model, the more obvious the blooming effect could be. The results of this research has important reference value to promote the development of SWI and early detection of diseases.
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Received: 27 September 2019
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Corresponding Authors:
*E-mail: xxg@smu.edu.cn
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| About author:: #（Member, Chinese Society of Biomedical Engineering） |
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