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Computer Engineering ›› 2008, Vol. 34 ›› Issue (13): 1-3. doi: 10.3969/j.issn.1000-3428.2008.13.001

• Degree Paper •     Next Articles

Post-processing Algorithm of Susceptibility Weighted Imaging and Its Clinical Application

QIAN Li-jun, LU Qing, XU Jian-rong   

  1. (Department of Radiology, Renji Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai 200127)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-07-05 Published:2008-07-05

磁敏感加权成像的后处理算法与临床应用

钱黎俊,路 青,许建荣   

  1. (上海交通大学医学院附属仁济医院放射科,上海 200127)

Abstract:

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. This paper analyzes the unique image post-processing and reconstruction algorithm of SWI, and verifies its effectiveness through simulation images. This algorithm proves a better sensitivity to supratentonial venous and the lesion territory of tumor and vascular malformation compared with the traditional Magnetic Resonance Imaging(MRI) methods.

Key words: Magnetic Resonance Imaging(MRI), Susceptibility Weighted Imaging(SWI), phase

摘要: 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。该文分析磁敏感加权独特的成像后处理和重建算法的具体步骤,通过仿真图像验证其有效性。该方法对幕上微小静脉结构、肿瘤及血管畸形病灶的显示敏感性优于传统磁共振成像法。

关键词: 磁共振成像, 磁敏感加权成像, 相位

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