New surface flattening scheme and its application in the visualization of the human cortex unfolding
Tong‐Yee Lee, Han‐Ying Lin
Abstract
Tong‐Yee Lee, Han‐Ying Lin
Abstract
It is a difficult problem to interpret the spatial relationship between different locations on the human cortical surface. The main reason for this difficulty is that the surface of the human cerebral cortex is highly folded and therefore much of it is obscured from view. In this paper, we present an efficient and distortion‐less flattening algorithm to unfold the cortical surface. Using the proposed technique, we can quickly visualize and precisely measure the cortical surface. Experimental results are shown to evaluate the usefulness of the proposed method.
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It is a difficult problem to interpret the spatial relationship between different locations on the human cortical surface. The main reason for this difficulty is that the surface of the human cerebral cortex is highly folded and therefore much of it is obscured from view. In this paper, we present an efficient and distortion‐less flattening algorithm to unfold the cortical surface. Using the proposed technique, we can quickly visualize and precisely measure the cortical surface. Experimental results are shown to evaluate the usefulness of the proposed method.
Key concepts: Flattening, Surface (topology), Distortion (music), Computer science, Visualization, Cortex (anatomy), Measure (data warehouse), Key (lock)