Camara-Rey Oscar, Sneller Beatrix I, Ridgway Gerard R, Garde Ellen, Fox Nick C, Hill Derek L G
Center of Medical Image Computing, University College of London, UK.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):272-80. doi: 10.1007/11866565_34.
Automatic algorithms in conjunction with longitudinal MR brain images can be used to measure cerebral atrophy, which is particularly pronounced in several types of dementia. An atrophy simulation technique has been devised to facilitate validation of these algorithms. To make this model of atrophy more realistic we simulate acquisition artefacts which are common problems in dementia imaging: motion (both step and periodic motion) and pulsatile flow artefact. Artefacts were simulated by combining different portions of k-space from various modified image. The original images were 7 MR scans of healthy elderly controls, each of which had two levels of simulated atrophy. We investigate the effect of the simulated acquisition artefacts in atrophy measurements provided by an automatic technique, SIENA.
结合纵向脑部磁共振图像的自动算法可用于测量脑萎缩，脑萎缩在几种类型的痴呆症中尤为明显。已经设计了一种萎缩模拟技术来促进这些算法的验证。为了使这个萎缩模型更逼真，我们模拟了采集伪影，这些伪影是痴呆症成像中的常见问题：运动（包括步进运动和周期性运动）和搏动血流伪影。通过组合来自各种修改图像的k空间的不同部分来模拟伪影。原始图像是7名健康老年对照者的磁共振扫描图像，每个图像有两个模拟萎缩水平。我们研究了模拟采集伪影对自动技术SIENA提供的萎缩测量结果的影响。
