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
CLC Number:
QIAN Li-jun; LU Qing; XU Jian-rong. Post-processing Algorithm of Susceptibility Weighted Imaging and Its Clinical Application[J]. Computer Engineering, 2008, 34(13): 1-3.
钱黎俊;路 青;许建荣. 磁敏感加权成像的后处理算法与临床应用[J]. 计算机工程, 2008, 34(13): 1-3.