1) susceptibility weighted imaging
磁敏感加权序列
1.
PartⅠMeasurement of brain iron in patients with Parkinson\'s disease usingsusceptibility weighted imagingObjective To comprehensively measure iron content in nucleus of midbrain andbasal ganglia in patients with Parkinson\'s disease (PD) on phase images ofsusceptibility weighted imaging (SWI) sequence.
一、磁敏感加权序列测量帕金森病脑铁含量的研究目的应用磁敏感加权序列(susceptibility weighted imaging，SWI)相位图全面测量帕金森病(Parkinson\'s disease，PD)患者中脑及基底节脑铁含量。
2) Susceptibility weighted imaging
磁敏感加权成像
1.
The value of susceptibility weighted imaging (SWI) in the brain vascular malformations;
磁敏感加权成像在脑血管畸形中的应用价值
2.
Susceptibility weighted imaging(SWI)is a new magnetic resonance imaging technique which consists of using both magnitude and phase images from a high-resolution,three-dimensional,fully velocity compensated gradient echo sequence.
磁敏感加权成像是一种磁共振成像的新技术,它采用高分辨率、三维、完全速度补偿梯度回波扫描。
3.
Objective To evaluate the application value of susceptibility weighted imaging(SWI) at 3.
目的探讨磁敏感加权成像((Susceptibility Weighted Imaging,SWI)在脑出血中的应用价值。
3) Susceptibility Weighted Imaging(SWI)
磁敏感加权成像
1.
Susceptibility Weighted Imaging(SWI) non-invasively displays the intracranial venous structure, which is significant in the clinical diagnosis of brain tumor, vascular malformation, and other central nervous diseases.
磁敏感加权成像可以无创地显示颅内静脉结构,对脑肿瘤、血管畸形等疾病具有重要临床意义。
4) susceptibility-weighted imaging
磁敏感加权成像
1.
Objective To assess the clinical application value of magnetic susceptibility-weighted imaging in cerebral vascular malformations.
目的:探讨磁敏感加权成像技术在脑血管畸形诊断中的价值。
2.
Objectiv:To evaluate the value of the small vessels,microbleeds and periturnoral edema in Susceptibility-weighted imaging(SWI) in grating brain gliomas and difference between SWI and Conventional imaging techniques.
目的:比较磁敏感加权成像与常规序列在显示肿瘤内小血管、出血及瘤周水肿方面的差异,评价磁敏感加权成像在脑星形细胞瘤分级中的价值。
5) sensitive sequence
敏感序列
1.
For this problem,this paper presented an effective algorithm to hide sensitive sequences which named CLSDA(current least sequences delete algorithm).
为此,提出了一种有效的敏感序列隐藏算法CLSDA(current leasts equences delete algorithm),该算法对候选序列加权,在删除序列的过程中随时更新权值,使用贪心算法获得局部最优解,尽可能减少对原始数据库的改动。
6) Susceptibility Weighted Imaging
磁敏感加权成像(SWI)
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