Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images
Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images
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DOI：
10.1007/978-3-540-40899-4_33
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发表时间：
2000-10
期刊：
影响因子：
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通讯作者：
C. Tanner;J. Schnabel;D. Chung;M. Clarkson;D. Rueckert;D. Hill;D. Hawkes
中科院分区：
文献类型：
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作者：
C. Tanner;J. Schnabel;D. Chung;M. Clarkson;D. Rueckert;D. Hill;D. Hawkes
在本文中，我们首先表明，非刚性配准算法用于登记的时间序列的MR图像的乳房，可以导致显着的体积变化的区域增强病变。由于这在物理上是不合理的，鉴于MR时间序列采集的持续时间较短，因此扩展了非刚性配准算法，以允许纳入刚性区域。这样，注册分两个阶段进行。首先使用非刚性配准算法以其原始形式检测增强的病变。其次，增强的病变区域被设置为刚性的，并应用新的算法将该刚性区域集成到现有的配准。根据定义，体积和形状将保留在该刚性区域中。将该算法应用于15个数据集的初步结果进行了说明。
In this paper we show first that a non-rigid registration algorithm used to register time-series MR images of the breast, can result in significant volume changes in the region of the enhanced lesion. Since this is physically implausible, given the short duration of the MR time series acquisition, the non-rigid registration algorithm was extended to allow the incorporation of rigid regions. In this way the registration is done in two stages. The enhanced lesions are first detected using the non-rigid registration algorithm in its original form. Secondly, the region of the enhanced lesion is set to be rigid and the new algorithm is applied to integrate this rigid region into the existing registration. By definition, volume and shape will be preserved in this rigid region. Preliminary results of applying this algorithm to 15 datasets are described.