Shape Feature Extraction
TRACE: Topological Graph Representation for Automatic Sulcal Curve Extraction
Robust Feature Extraction
[Software]
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. Here, 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 influences. 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. The Dijkstra's shortest path algorithm is then utilized to trace sulcal curves over the connected graph in the identified regions.
Lyu, I., Kim, S., Woodward, N., Styner, M., Landman, B., TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction, IEEE Transactions on Medical Imaging, 37(7), 1653-1663, 2018 [link]
Lyu, I., Kim, S., Styner, M., Automatic Sulcal Curve Extraction on the Human Cortical Surface, SPIE Medical Imaging 2015, SPIE9413, 94130P-1-94130P-7, 2015 [link]
Applications: Curve-based Population Analysis
Primary Sulci and Variability
Huang, S., Lyu, I., Qiu, A., Chung, M., Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. IEEE Transactions on Medical Imaging, 39(6), 2201-2212, 2020 [link]
Huang, S., Lyu, I., Qiu, A., Chung, M., Fast Polynomial Approximation to Heat Diffusion in Manifolds. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019, LNCS11767, 48-56, Shenzhen, China, 2019 [link]
Parvathaneni, P., Nath, V., McHugo, M., Huo, Y., Resnick, S., Woodward, N., Landman, B., Lyu, I., Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks. Journal of Neuroscience Methods, 324, 108311, 2019 [link]
Lyu, I., Seong, J., Shin, S., Im, K., Roh, J., Kim, M., Kim, G., Kim, J., Evans, A., Na, D., Lee, J., Spectral-based Automatic Labeling and Refining of Human Cortical Sulcal Curves using Expert-Provided Examples. NeuroImage, 52(1), 142-157, 2010 [link]