Housden R James, Gee Andrew H, Treece Graham M, Prager Richard W
University of Cambridge, Department of Engineering, Trumpington Street, Cambridge, CB2 1PZ, UK.
Ultrasound Med Biol. 2007 Mar;33(3):408-19. doi: 10.1016/j.ultrasmedbio.2006.09.015.
Freehand 3D ultrasound can be acquired without a position sensor by finding the separations of pairs of frames using information in the images themselves. Previous work has not considered how to reconstruct entirely freehand data, which can exhibit irregularly spaced frames, intersecting frames, nonmonotonic out-of-plane probe motion and significant in-plane motion. This paper presents reconstruction methods that overcome these limitations and are able to robustly reconstruct unconstrained freehand data. The methods are assessed on freehand data sets and compared with reconstructions obtained with a position sensor.
通过利用图像本身的信息找到成对帧之间的间距,无需位置传感器即可获取徒手三维超声图像。以往的工作尚未考虑如何重建完全徒手的数据,这类数据可能会呈现帧间距不规则、帧相交、面外探头非单调运动以及显著的面内运动等情况。本文提出了克服这些限制的重建方法,能够稳健地重建无约束的徒手数据。这些方法在徒手数据集上进行了评估,并与使用位置传感器获得的重建结果进行了比较。