Shape Feature Extraction
Automatic landmark discovery and compact descriptors for anatomical shapes
Method
TRACE: Topological Graph Representation for Automatic Sulcal Curve Extraction
A proper geometric representation of cortical regions is a fundamental task for cortical shape analysis and landmark extraction. However, highly variable and convoluted cortical folding patterns present a significant challenge. We propose a novel topological graph representation for automatic sulcal curve extraction (TRACE). During image acquisition and surface reconstruction, the reconstructed surface is susceptible to noise. In the presence of surface noise, TRACE identifies stable sulcal fundic regions using the line simplification method to prevent significant smoothing of the sulcal folding pattern. Dijkstra's shortest path algorithm is then utilized to trace sulcal curves over the connected graph in the identified regions.
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TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction
Ilwoo Lyu, Sun Hyung Kim, Neil Woodward, Martin Styner, Bennett Landman
IEEE Transactions on Medical Imaging, 37(7), 1653–1663, 2018
Applications
Curve-based Population Analysis
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Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo Chung
IEEE Transactions on Medical Imaging, 39(6), 2201–2212, 2020
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Fast Polynomial Approximation to Heat Diffusion in Manifolds
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo Chung
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019, LNCS11767, 48–56, Shenzhen, China, 2019
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Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks
Prasanna Parvathaneni, Vishwesh Nath, Maureen McHugo, Yuankai Huo, Susan Resnick, Neil Woodward, Bennett Landman, Ilwoo Lyu
Journal of Neuroscience Methods, 324, 108311, 2019
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Spectral-based Automatic Labeling and Refining of Human Cortical Sulcal Curves using Expert-Provided Examples
Ilwoo Lyu, Joon-Kyung Seong, Sung Yong Shin, Kiho Im, Jee Hoon Roh, Min-Jeong Kim, Geon Ha Kim, Jong Hun Kim, Alan Evans, Duk L. Na, Jong-Min Lee
NeuroImage, 52(1), 142–157, 2010