Automatic landmark tracking applied to optimize brain conformal mapping

Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Important anatomical features on the cortical surface are usually represented by landmark curves, called sulcal/gyral curves. Manual labeling of these landmark curves is time-consuming, especially when a large dataset is analyzed. In this paper, we propose a method to trace the landmark curves on the cortical surfaces automatically based on the principal directions of the local Weingarten matrix. Based on a global conformal parametrization of the cortical surface, our method adjusts the landmark curves iteratively on the spherical or rectangular parameter domain of the cortical surface along the principal direction field, using umbilic points of the surface as anchors. The landmark curves can then be mapped back onto the cortical surface. To speed up the iterative scheme, we obtain a good initialization by extracting the high curvature regions on the cortex using the Chan-Vese segmentation method, which solves a PDE on the manifold using our global conformal parametrization technique. Experimental results show that the landmark curves detected by our algorithm closely resemble the same curves labeled manually. We applied these automatically labeled landmark curves to build average cortical surfaces with an optimized brain conformal mapping method. Experimental results show that our method can help in automatically matching cortical surfaces of the brain across subjects.

Original languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages205-208
Number of pages4
StatePublished - Nov 17 2006
Externally publishedYes
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period4/6/064/9/06

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Lui, L. M., Wang, Y., Chan, T. F., & Thompson, P. M. (2006). Automatic landmark tracking applied to optimize brain conformal mapping. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 205-208). [1624888] (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006).