Technical note: A physical phantom for assessment of accuracy of deformable alignment algorithms
Technical note: A physical phantom for assessment of accuracy of deformable alignment algorithms
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DOI：
10.1118/1.2739812
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发表时间：
2007-07-01
期刊：
影响因子：
3.8
通讯作者：
Balter, James M.
中科院分区：
文献类型：
--
作者：
Kashani, Rojano;Hub, Martina;Balter, James M.
本研究的目的是研究简单的可变形体模作为测试和验证可变形图像配准算法的 QA 工具的可行性。本研究中使用了带有可变形泡沫插入物的诊断胸部成像模型。小塑料标记分布在泡沫中，形成一个具有可测量变形的晶格，作为所有比较的地面真实数据。使用一维驱动级推动扁平“隔膜”，在上下方向上压缩泡沫，以产生类似于吸气和呼气状态的变形。在泡沫的不同压缩下采集图像，并在每个图像体积上手动识别每个标记的位置，以建立具有已知精度的已知变形场。在配准之前，以数字方式从相应图像中去除标记。使用该方法测试了不同的图像配准算法。标记位置的重复测量显示参考标记识别的精度优于 1 毫米。在几种图像配准算法上测试该方法表明该系统能够定量评估错误。该模型能够使用独立于驱动变形参数的信号的精度测量来定量评估可变形图像配准的精度。 (C) 2007 年美国医学物理学家协会。
The purpose of this study was to investigate the feasibility of a simple deformable phantom as a QA tool for testing and validation of deformable image registration algorithms. A diagnostic thoracic imaging phantom with a deformable foam insert was used in this study. Small plastic markers were distributed through the foam to create a lattice with a measurable deformation as the ground truth data for all comparisons. The foam was compressed in the superior-inferior direction using a one-dimensional drive stage pushing a flat "diaphragm" to create deformations similar to those from inhale and exhale states. Images were acquired at different compressions of the foam and the location of every marker was manually identified on each image volume to establish a known deformation field with a known accuracy. The markers were removed digitally from corresponding images prior to registration. Different image registration algorithms were tested using this method. Repeat measurement of marker positions showed an accuracy of better than 1 mm in identification of the reference marks. Testing the method on several image registration algorithms showed that the system is capable of evaluating errors quantitatively. This phantom is able to quantitatively assess the accuracy of deformable image registration, using a measure of accuracy that is independent of the signals that drive the deformation parameters. (C) 2007 American Association of Physicists in Medicine.