Lee Junki, Lee Jong-Min, Kim Jae-Hun, Kim In Young, Evans Alan C, Kim Sun I
Dept. Biomedical Engineering, Hanyang University, 17 Haengdang-dong Sungdong-gu, Seoul, 133-791, Korea.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):183-90. doi: 10.1007/11866565_23.
Cortical surface reconstruction is important for functional brain mapping and morphometric analysis of the brain cortex. Several methods have been developed for the faithful reconstruction of surface models which describe the true cortical surface in both geometry and topology. However there has been no explicit method for the quantitative evaluation of the whole-cortical-surface models. In this study, we present a novel phantom-based evaluation method of the cortical surface reconstruction algorithm and quantitatively validated the local morphometric accuracy of CLASP which is one of the well-established reconstruction methods. The evaluation included local geometrical accuracy and performance of cortical thickness measure. The validation study revealed that there were some underestimations of cortical thickness measure using CLASP in the ventral and sulcal areas of the cortex and overestimations in the gyral areas and inferior temporal lobe. This study could present a generic metric for the quantitative evaluation of cortical surface reconstruction algorithm.
皮质表面重建对于脑功能图谱绘制和大脑皮质的形态测量分析至关重要。已经开发了几种方法来精确重建表面模型，这些模型在几何形状和拓扑结构上描述了真实的皮质表面。然而，目前还没有用于定量评估全皮质表面模型的明确方法。在本研究中，我们提出了一种基于模型的新型皮质表面重建算法评估方法，并对CLASP（一种成熟的重建方法）的局部形态测量准确性进行了定量验证。评估包括局部几何准确性和皮质厚度测量性能。验证研究表明，使用CLASP时，在皮质的腹侧和沟回区域存在皮质厚度测量值低估的情况，而在脑回区域和颞下叶存在高估的情况。本研究可为皮质表面重建算法的定量评估提供一种通用指标。
