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Joint image registration and volume reconstruction for 3D ultrasound

机译:3D超声的联合图像配准和体积重建

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摘要

Three-dimensional (3D) ultrasound aims to reconstruct a 3D volume of data from a set of ultrasound images. To achieve this goal, accurate measurements of the probe position and orientation are required. This is not always possible in practice, due to the limitation of current spatial location systems. Unfortunately, position errors produce a misalignment of the volume cross-sections which blur the reconstruction results. To overcome this difficulty an alignment algorithm must be derived. This paper describes a method which performs both tasks: volume reconstruction and image alignment. The proposed algorithm is based on the optimization of a single objective function which depends on both sets of parameters. Reconstruction results with synthetic and medical data are presented showing significant improvement compared to the results obtained with standard technique without alignment.
机译:三维(3D)超声旨在从一组超声图像中重建3D数据量。为了实现此目标,需要对探头位置和方向进行准确的测量。由于当前空间定位系统的限制,在实践中这并非总是可能的。不幸的是,位置误差会导致体积横截面的未对准,从而使重建结果模糊。为了克服该困难,必须导出对准算法。本文介绍了同时执行两项任务的方法:体积重建和图像对齐。所提出的算法基于单个目标函数的优化,该目标函数取决于两组参数。提出了具有合成和医学数据的重建结果,与没有对齐的标准技术所获得的结果相比,显示出显着的改善。

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