Surface Reconstruction from Sparse&Mutually Intersected Contours for Freehand 3D Ultrasound Using Variational Method
The 3D recOnstructiOn f．or freehand 3D ultrasound is a challenging issue because the recorded B-scans are not only sparse，but also non．parallel(actually they 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．It is based on variational implicit function which is presented by Greg Turk for shape transformation．In the new method，we first constructed on．&oif-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 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 recOnstructin2 surface smoothly from sparse contours which can be arbitrarily oriented in 3D space．
sulface Reconstruction feehand 3D ultrasound variational methed medical imaging
Shuangcheng Deng Yunhua Li
School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astron School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astron
国际会议
三亚
英文
1511-1516
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）