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徒手三维超声数据的无传感器重建。

Sensorless reconstruction of freehand 3D ultrasound data.

作者信息

Housden R James, Gee Andrew H, Treece Graham M, Prager Richard W

机构信息

University of Cambridge, Department of Engineering, Trumpington Street, Cambridge, UK.

出版信息

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):356-63. doi: 10.1007/11866763_44.

Abstract

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, non-monotonic out-of-plane probe motion and significant inplane motion. This paper presents reconstruction methods that overcome these limitations and are able to robustly reconstruct freehand data. The methods are assessed on freehand data sets and compared to reconstructions obtained using a position sensor.

摘要

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。先前的工作尚未考虑如何重建完全徒手采集的数据,这类数据可能呈现帧间距不规则、平面外探头运动非单调以及显著的平面内运动。本文提出了克服这些限制并能够稳健地重建徒手采集数据的重建方法。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。

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