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Cortical folds encode crucial information of brain development, cytoarchitecture and function. It is widely accepted that common anatomy is preserved across individuals within species, while huge variation still hamper establishing fine-grained anatomical correspondences and predicting the locations of a specific anatomical pattern via conventional image registration methods, especially for complex...
Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from...
In this paper, a class of general non-Gaussian stochastic systems with disturbances are studied. Based on the disturbance observer (DO) design method, an anti-disturbance iterative learning control (ILC) algorithm is proposed by establishing the statistic information tracking control (SITC) framework. Different from the existing stochastic control methods, the driven information for control feedback...
Cortical folding pattern analysis has attracted significant interest recently due to its significance in understanding the structure and function of the brain. While most previous studies focused on the human brain, the regularity and variability of cortical folding patterns across primate brains such as macaques and chimpanzees are largely unknown. To fill this knowledge gap, this paper develops...
Cortical gyral folding pattern can be described by the hinge numbers, e.g., 2-hinge and 3-hinge gyri. Our recent studies have shown that joint analysis of 2-hinge gyral folding and its fiber connection patterns can be a powerful tool to elucidate the regularity and variability of gyral structures. However, other more complex gyral shape patterns such as 3-hinge gyri have not been investigated yet...
In vivo parcellation of the cerebral cortex via non-invasive neuroimaging techniques has been in active research for over a decade. A variety of model-driven or data-driven computational approaches have been proposed to parcellate the cortex. A fundamental issue in these parcellation methodologies is the features or attributes used to define boundaries between cortical regions. This paper proposes...
Quantitative descriptions of white matter (WM) fiber shape and cortical folding patterns are important for neuroscience research. This paper presents a novel computational method for WM fiber shape pattern analysis, that is, WM fibers are clustered into five primitive shape patterns: closed `U', `M', curved line, open `U' and straight line, based on the automatic clustering of their shape features...
The geometric shape of the human cerebral cortex is characterized by its complex and variable folding patterns. This pattern can be described at different scales from local scale such as curvature to global scale such as gyrification index or spherical wavelet. This paper presents a parametric folding pattern descriptor at the meso-scale of a cortical surface patch. The patch is represented by Bezier...
This paper, aiming to improve the traditional design process, proposes a method that designers provide a basic conceptual form scheme of the products, but a detailed form is modified by the users according to the locally changeable two or three dimensional models released on the internet, and the needed several product form schemes can be achieved through statistic analysis of the feedbacks from the...
Set partitioning in hierarchical trees (SPIHT) is considered the premier state-of-the-art algorithm in image compression, but it is not designed to explicitly consider the human visual system (HVS) characteristics. Extensive HVS research has shown that there are three perceptually significant activity blocks in an image: smooth, edge, and texture blocks. The paper uses the shape parameters of generalized...
Content-based image retrieval is emerging as an important research area with applications in digital libraries and multimedia databases. In this paper, we present a novel five-stage image retrieval method based on salient edges. In the first stage, the Canny operator is performed to detect edge points. Then, the Water-Filling algorithm is employed to extract edge curves. In the third stage, salient...
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