Auzias Guillaume, Glaunès Joan, Colliot Olivier, Perrot Matthieu, Mangin Jean-François, Trouvé Alain, Baillet Sylvain
Université Pierre et Marie Curie-Paris 6, UMR 7225, UMRS 975, Centre de Recherche de l'Institut Cerveau-Moelle (CRICM), Paris, France.
Med Image Comput Comput Assist Interv. 2009;12(Pt 1):730-8. doi: 10.1007/978-3-642-04268-3_90.
Neuroimaging at the group level requires spatial normalization of individual structural data. We propose a geometric approach that consists in matching a series of cortical surfaces through diffeomorphic registration of their sulcal imprints. The resulting 3D transforms naturally extends to the entire MRI volumes. The Diffeomorphic Sulcal-based COrtical (DISCO) registration integrates two recent technical outcomes: 1) the automatic extraction, identification and simplification of numerous sulci from T1-weighted MRI data series hereby revealing the sulcal imprint and 2) the measure-based diffeomorphic registration of those crucial anatomical landmarks. We show how the DISCO registration may be used to elaborate a sulcal template which optimizes the distribution of constraints over the entire cortical ribbon. DISCO was evaluated through a group of 20 individual brains. Quantitative and qualitative indices attest how this approach may improve both alignment of sulcal folds and overlay of gray and white matter volumes at the group level.
在群体水平上进行神经成像需要对个体结构数据进行空间归一化。我们提出了一种几何方法,该方法包括通过对脑沟印记进行微分同胚配准来匹配一系列皮质表面。由此产生的三维变换自然地扩展到整个磁共振成像(MRI)体积。基于脑沟的微分同胚皮质(DISCO)配准整合了两项最新技术成果:1)从T1加权MRI数据系列中自动提取、识别和简化大量脑沟,从而揭示脑沟印记;2)对这些关键解剖标志进行基于度量的微分同胚配准。我们展示了如何使用DISCO配准来构建一个脑沟模板,该模板可优化整个皮质带的约束分布。通过一组20个个体大脑对DISCO进行了评估。定量和定性指标证明了这种方法如何在群体水平上改善脑沟褶皱的对齐以及灰质和白质体积的重叠。