Main points of"DSA and MRI or MRA 3D-images fusions"technique and their values to diagnosis of cerebrovascular disease
XIANG Wei-chu
YANG Ming
LI Jun
PAN Li
CHEN Gang
LI Guo-dong
CAI Ming-jun
LIU Peng
YAN Bing
SUN Qi
SUN Biao
MA Lian-ting
Abstract：Objective To explore the technical condition and main points of "DSA and MRI or MRA three-dimensional (3D)-images fusions"technique and their values to to the cerebrovascular disease. Methods DSA and MRI or MRA 3D-images fusions technique was used early by manual manipulation, and recently by System Syngo X-WP 3D post-processing workstation of Siemens Artis zee biplane DSA machine. DSA and MRI or MRA images data eligible for 3D-images fusion were analyzed and combined through Inspace 3D-3D-Fusion special software, and then the DSA and MRI or MRA images were fused. DSA and MRI or MRA 3D-images fusions were performed in 3 patients with cerebrovascular disease, including 1 case of giant posterior communicating artery, 1 case of moyamoya disease accompanied with blood flow-associated posterior choroid artery aneyrysms and 1 case of cerebral arteriovenous malformation in deep right temporal lobe accompanied with venous aneurysm. The later two of three patients were treated by neuronavigator-assisted surgery under the guidance of 3D-images fusions. Results The understanding of the size, intraaneurysmal thrombus and mass effect of the giant intracranial aneurysm was improved by the dual 3D-images fusions of DSA and MRI, and DSA and MRA. The neuronavigator-assisted surgery was performed under the guidance of DSA and MRI or MRA 3D-images fusions in the other two patients with cerebrovascular disease. Conclusion DSA and MRI or MRA 3D-images fusion is a new images post-processing technique with special software. Three-dimensional image fusion is certainly valuable for the diagnosis of cerebrovascular disease and the neuronavigator-assisted surgery for deep brain blood flow-associated aneurysm and venous aneurysm.
Keywords：Cerebrovascular diseaseDigital subtraction angiographyMagnetic resonance imagingImage fusion
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 65-70 )