Calculation of Brain Cortical Complexity Based on T1-weighted Imaging by Edge Fitting
Authors: 
Jiaofen Nan, Zhihang Tong, Junya SuAuthors Info & Claims
Jiaofen Nan, Zhihang Tong, Junya SuAuthors Info & ClaimsPages 54 - 60
Abstract
The complexity of human cerebral cortex has important clinical value for the prediction, diagnosis and prevention of certain diseases. In this paper, we mainly used edge extraction and curve fitting to assess the cortical complexity by calculating the surface fractal dimension of the cerebral cortex with the help of the standard deviation of distance (SDD) and the layer-by-layer perimeter area ratio (PAR) based on T1 images. The results showed that the SDD and PAR revealed some advantages over the traditional box-counting method in computing the surface complexity of simulated 3D graphs. Moreover, when the two methods were applied to the human cerebral cortex in vivo, it was found that the SDD was more sensitive to individual differences. This study shows a new method for human brain cortex complexity calculation, providing a technical support for morphological analysis of human brain in clinical stage.
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December 2021
146 pages
ISBN:9781450385848
DOI:10.1145/3510513
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Published: 10 May 2022
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ICNCC 2021
ICNCC 2021: 2021 The 10th International Conference on Networks, Communication and Computing
December 10 - 12, 2021
Beijing, China
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