Huanhuan Li1, Feng Wan2, Jun Li3, Liuqing Sheng1, Guodong Li1, Gang Chen1, Weichu Xiang1, Qiang Wang1, Zhiqiang Gan1, Qi Sun4, Bing Yan4, Lianting Ma1. 1. Department of Neurosurgery, Wuhan General Hospital of Guangzhou Military Commend, People's Liberation Army, Wuhan, China; Institute for Neurosurgery of People's Liberation Army, Wuhan, China. 2. Department of Neurosurgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. 3. Department of Neurosurgery, Wuhan General Hospital of Guangzhou Military Commend, People's Liberation Army, Wuhan, China; Institute for Neurosurgery of People's Liberation Army, Wuhan, China. Electronic address: lijun_whjz@hotmail.com. 4. Siemens Ltd. China, Healthcare Sector, Beijing, China.
Abstract
OBJECTIVE: To explore the value of flat detector computed tomography-based vessel fusion technique for visualizing and evaluating anatomic structures and hemodynamic features of patients diagnosed with dural arteriovenous fistulas (DAVF). METHODS: Eleven patients with DAVF were investigated. The 3-dimensional structure of the DAVF fistula point, feeding arteries, and draining veins were reconstructed from separately acquired rotational angiographic images and then displayed as a single image in a fused manner. RESULTS: In the vessel fusion image, the tangled cluster of vessels of the DAVF could be clearly visualized from selected optimal viewing angles in the 3-dimensional space. Each component of the DAVF fistula point with its specific artery feedings and venous drainage could be identified accurately. CONCLUSIONS: The vessel fusion technique gave detailed anatomic information that enabled better understanding of the DAVF structure, and facilitated an accurate interventional or surgical planning.
OBJECTIVE: To explore the value of flat detector computed tomography-based vessel fusion technique for visualizing and evaluating anatomic structures and hemodynamic features of patients diagnosed with dural arteriovenous fistulas (DAVF). METHODS: Eleven patients with DAVF were investigated. The 3-dimensional structure of the DAVF fistula point, feeding arteries, and draining veins were reconstructed from separately acquired rotational angiographic images and then displayed as a single image in a fused manner. RESULTS: In the vessel fusion image, the tangled cluster of vessels of the DAVF could be clearly visualized from selected optimal viewing angles in the 3-dimensional space. Each component of the DAVF fistula point with its specific artery feedings and venous drainage could be identified accurately. CONCLUSIONS: The vessel fusion technique gave detailed anatomic information that enabled better understanding of the DAVF structure, and facilitated an accurate interventional or surgical planning.