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2013 (Vol. 5, Issue: 11)
Article Information:

Surface Reconstruction from Sparse and Arbitrarily Oriented Contours in Freehand 3D Ultrasound

Shuangcheng Deng, Yunhua Li, Lipei Jiang, Yingyu Cao and Junwen Zhang
Corresponding Author:  Shuangcheng Deng 

Key words:  Freehand 3D ultrasound, medical imaging, surface reconstruction, variational method, , ,
Vol. 5 , (11): 3219-3225
Submitted Accepted Published
October 17, 2012 December 10, 2012 April 05, 2013
Abstract:

3D reconstruction for freehand 3D ultrasound is a challenging issue because the recorded B-scans are not only sparse, but also non-parallel (actually they may arbitrarily orient in 3D space and may intersect each other). Conventional volume reconstruction methods canít reconstruct sparse data efficiently while not introducing geometrical artifacts and conventional surface reconstruction methods canít reconstruct surfaces from contours that are arbitrarily oriented in 3D space. We developed a new surface reconstruction method for freehand 3D ultrasound based on variational implicit function which is presented by Greg Turk for shape transformation. In the new method, we first constructed on- and off-surface constraints from the segmented contours of all recorded B-scans and then used a variational interpolation technique to get a single implicit function in 3D. Finally, the implicit function was evaluated to extract the zero-valued surface as final reconstruction result. Two experiments was conducted to assess our variational surface reconstruction method and the experiment results have shown that the new method is capable of reconstructing surface smoothly from sparse contours which can be arbitrarily oriented in 3D space.
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  Cite this Reference:
Shuangcheng Deng, Yunhua Li, Lipei Jiang, Yingyu Cao and Junwen Zhang, 2013. Surface Reconstruction from Sparse and Arbitrarily Oriented Contours in Freehand 3D Ultrasound.  Research Journal of Applied Sciences, Engineering and Technology, 5(11): 3219-3225.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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