MRI simulation-based evaluation of image-processing and classification methods
MRI simulation-based evaluation of image-processing and classification methods
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DOI：
10.1109/42.816072
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发表时间：
1999-11-01
影响因子：
10.6
通讯作者：
Pike, GB
中科院分区：
文献类型：
--
作者：
Kwan, RKS;Evans, AC;Pike, GB
随着人们对计算机辅助图像分析方法的兴趣日益浓厚，对算法评估的客观方法的需求也越来越大。体内 MRI 研究的验证由于缺乏参考数据和构建解剖学上真实的物理模型的困难而变得复杂。我们在此提出了一种可扩展的 MRI 模拟器，它使用混合布洛赫方程和组织模板模拟来有效生成逼真的三维 (3-D) 大脑图像，并考虑图像对比度、部分体积和噪声。这允许通过图像数据的受控降级来评估图像分析方法。
With the increased interest in computer-aided image analysis methods, there is a greater need for objective methods of algorithm evaluation, Validation of in vivo MRI studies is complicated by a lack of reference data and the difficulty of constructing anatomically realistic physical phantoms, We present here an extensible MRI simulator that efficiently generates realistic three-dimensional (3-D) brain images using a hybrid Bloch equation and tissue template simulation that accounts for image contast, partial volume, and noise. This allows image analysis methods to be evaluated with controlled degradations of image data.