Research Article | OPEN ACCESS
Surface Reconstruction from Sparse and Arbitrarily Oriented Contours in Freehand 3D Ultrasound
1, 2Shuangcheng Deng, 1Yunhua Li, 2Lipei Jiang, 2Yingyu Cao and 2Junwen Zhang
1School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China
2Opto-Mechatronic Equipment Technology Beijing Area Major Laboratory, Beijing Institute of Petrochemical Technology, Beijing, China
Research Journal of Applied Sciences, Engineering and Technology 2013 11:3219-3225
Received: October 17, 2012 | Accepted: December 10, 2012 | Published: 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 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- 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.
Keywords:
Freehand 3D ultrasound, medical imaging, surface reconstruction, variational method,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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