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用于颅底病变管理的CT-MR图像融合

CT-MR image fusion for the management of skull base lesions.

作者信息

Leong Jern-Lin, Batra Pete S, Citardi Martin J

机构信息

Singapore General Hospital, Department of Otolaryngology, Singapore.

出版信息

Otolaryngol Head Neck Surg. 2006 May;134(5):868-76. doi: 10.1016/j.otohns.2005.11.015.

Abstract

OBJECTIVE

Image fusion software creates composite images from computed tomography (CT) and magnetic resonance (MR) images.

STUDY DESIGN AND SETTING

CT-MR fusion studies between August 2004 to July 2005 were reviewed. CT scan images (1-mm axial) were obtained on a multi-detector CT scanner. MR images (1-mm axial) were obtained with a T1-weighted, volume acquisition technique. CT-MR fusion images were created on the Instatrak 3500 Plus or CBYON Suite.

RESULTS

A total of 25 patients had 27 CT-MR image fusion studies. CT-MR fusion accuracy was 2 mm or better. During preoperative planning and intraoperative navigation, CT-MR fusion facilitated the delineation of the anatomic relationships between the lesion and the skull base.

CONCLUSIONS

CT-MR image fusion yields composite images that combine features of each component imaging modality. Image fusion, when combined with surgical navigation, further enhances potential skull base applications for minimally invasive endoscopic surgery.

摘要

目的

图像融合软件可根据计算机断层扫描(CT)和磁共振(MR)图像生成合成图像。

研究设计与设置

回顾了2004年8月至2005年7月间的CT-MR融合研究。在多探测器CT扫描仪上获取CT扫描图像(1毫米轴向)。采用T1加权容积采集技术获取MR图像(1毫米轴向)。在Instatrak 3500 Plus或CBYON Suite上创建CT-MR融合图像。

结果

共有25例患者进行了27次CT-MR图像融合研究。CT-MR融合精度为2毫米或更高。在术前规划和术中导航过程中,CT-MR融合有助于明确病变与颅底之间的解剖关系。

结论

CT-MR图像融合可生成结合了每种成像方式特征的合成图像。图像融合与手术导航相结合时,可进一步增强颅底在微创内镜手术中的潜在应用。

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