Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration

Author(s):  
Longwei Fang ◽  
Zuowei Wang ◽  
Zhiqiang Chen ◽  
Fengzeng Jian ◽  
Huiguang He
Keyword(s):  
Author(s):  
Philipp Steininger ◽  
Karl D. Fritscher ◽  
Gregor Kofler ◽  
Benedikt Schuler ◽  
Markus Hänni ◽  
...  

2008 ◽  
Vol 110 (1) ◽  
pp. 134-151 ◽  
Author(s):  
Souha Aouadi ◽  
Laurent Sarry
Keyword(s):  

2011 ◽  
Author(s):  
I. M. J. van der Bom ◽  
S. Klein ◽  
M. Staring ◽  
R. Homan ◽  
L. W. Bartels ◽  
...  

Author(s):  
Di Xu ◽  
Sheng Xu ◽  
Daniel A Herzka ◽  
Rex C Yung ◽  
Martin Bergtholdt ◽  
...  
Keyword(s):  

2019 ◽  
Vol 9 (2) ◽  
pp. 242-250
Author(s):  
Taeyong Park ◽  
Sunhye Lim ◽  
Heeryeol Jeong ◽  
Juneseuk Shin ◽  
Jeongjin Lee

Since the 2D X-ray angiogram enables the detection of vascular stenosis in real-time, it is essential for percutaneous coronary intervention (PCI). However, the accurate vascular structure is very difficult to determine due to background clutter and loss of depth information of 2D projection. To cope with these difficulties, we propose a fast and accurate extraction method of a vascular structure in 2D X-ray angiogram (XA) based on the vascular topology information of 3D computed tomography angiography (CTA) of the same patient. First, an initial vascular structure is robustly extracted based on vessel enhancement filtering. Then, 2D XA and 3D CTA are spatially aligned by 2D–3D registration. Finally, the 2D vascular structure is accurately reconstructed based on 3D vascular topology information by measuring the similarity of 2D and 3D vascular segments. Experimental results showed the fast and accurate extraction of a vascular structure using 10 images each of the left coronary artery (LCA) and right coronary artery (RCA). Our method can be used as a computer-aided technology for PCI. Our method can be applied to the study of other various types of vessels.


Author(s):  
Jürgen Weese ◽  
Thorsten M. Buzug ◽  
Cristian Lorenz ◽  
Carola Fassnacht
Keyword(s):  
3D Ct ◽  

2008 ◽  
Author(s):  
Dominique Zosso ◽  
Benoît Le Callennec ◽  
Meritxell Bach Cuadra ◽  
Kamiar Aminian ◽  
Brigitte M. Jolles ◽  
...  

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