Volume 8 Number 5 (May 2013)
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JCP 2013 Vol.8(5): 1279-1285 ISSN: 1796-203X
doi: 10.4304/jcp.8.5.1279-1285

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

Shuangcheng Deng1, 2, Yunhua Li1, Lipei Jiang2, Yingyu Cao2, and Junwen Zhang2
1 School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China
2 Opto-Mechatronic Equipment Technology Beijing Area Major Laboratory, Beijing Institute of Petrochemical Technology, Beijing, China


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 oriented in 3D space and may intersect each other). Conventional volume reconstruction methods can’t reconstruct sparse data efficiently while not introducing geometrical artifacts, and conventional surface reconstruction methods can’t 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- & off-surface constraints from the segmented contours of all recorded B-scans, 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 experiment 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.

Index Terms—surface reconstruction, freehand 3D ultrasound, variational method, medical imaging

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Cite: Shuangcheng Deng, Yunhua Li, Lipei Jiang, Yingyu Cao, and Junwen Zhang, " Surface Reconstruction from Sparse & Arbitrarily Oriented Contours in Freehand 3D Ultrasound," Journal of Computers vol. 8, no. 5, pp. 1279-1285, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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