Abstract #1682

Spatial Registration of fMRI Data Using Functional Correlation Tensors

Yujia Zhou^1,2, Pew-Thian Yap², Han Zhang², Lichi Zhang², Qianjin Feng¹, and Dinggang Shen²

¹Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, People's Republic of China, ²Department of Radiology and BRIC, University of North Carolina, Chapel Hill, NC, United States

Inter-subject registration of functional MRI (fMRI) data is a key step for group analysis. Here, we propose a novel registration strategy that considers functional information from both gray matter (GM) and white matter (WM). This is achieved using functional correlation tensors (FCTs), which capture the local correlation of the BOLD signals. Features extracted from both GM and WM functional correlation tensors are utilized in a multi-channel Large Deformation Diffeomorphic Metric Mapping (LDDMM) registration framework for fMRI registration. Experimental results indicate that our method can achieve better functional registration compared with state-of-the-art methods.

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