Paper
19 March 2004 Optimization of transformation for 3D reconstruction of coronary arterial tree
Jiaxiang Huang, Daoyin Yu, Xiaodong Chen, Hongbo Xie
Author Affiliations +
Proceedings Volume 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry; (2004) https://doi.org/10.1117/12.561291
Event: Fourth International Conference On Virtual Reality and Its Applications in Industry, 2003, Tianjin, China
Abstract
The spatial relationship between two single plane angiograms, which is characterized by transformation in the forms of a rotation matrix and a translation vector, is important for 3D reconstruction of coronary arterial tree. The error of transformation directly reduces the precision of 3D reconstruction. In this study, we introduce the methods of 3D reconstruction, analyze the necessity of optimization of transformation, and define transformation by quaternion. Then bifurcations, vessel vectors and branch angles are employed to optimize the transformation, with Levenberg-Marquardt algorithm. The experimental results on the human angiogram data are presented. The Standard Deviation of reconstruction error reduces from 3.8573 mm to 1.0803 mm in image A and from 4.0663 mm to 1.0742 mm in image B respectively on clinical angiogram data. The results of experiments show that the technique put forward in this paper greatly improves the accuracy of 3D reconstruction.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiaxiang Huang, Daoyin Yu, Xiaodong Chen, and Hongbo Xie "Optimization of transformation for 3D reconstruction of coronary arterial tree", Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); https://doi.org/10.1117/12.561291
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Cited by 3 scholarly publications.
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KEYWORDS
3D modeling

Angiography

3D image reconstruction

3D image processing

Reconstruction algorithms

Optimization (mathematics)

Imaging systems

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