Skip to main content

A geometric method for automatic extraction of sulcal fundi.

Publication ,  Journal Article
Kao, C-Y; Hofer, M; Sapiro, G; Stem, J; Rehm, K; Rottenberg, DA
Published in: IEEE transactions on medical imaging
April 2007

Sulcal fundi are 3-D curves that lie in the depths of the cerebral cortex and, in addition to their intrinsic value in brain research, are often used as landmarks for downstream computations in brain imaging. In this paper, we present a geometric algorithm that automatically extracts the sulcal fundi from magnetic resonance images and represents them as spline curves lying on the extracted triangular mesh representing the cortical surface. The input to our algorithm is a triangular mesh representation of an extracted cortical surface as computed by one of several available software packages for performing automated and semi-automated cortical surface extraction. Given this input we first compute a geometric depth measure for each triangle on the cortical surface mesh, and based on this information we extract sulcal regions by checking for connected regions exceeding a depth threshold. We then identify endpoints of each region and delineate the fundus by thinning the connected region while keeping the endpoints fixed. The curves, thus, defined are regularized using weighted splines on the surface mesh to yield high-quality representations of the sulcal fundi. We present the geometric framework and validate it with real data from human brains. Comparisons with expert-labeled sulcal fundi are part of this validation process.

Duke Scholars

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

April 2007

Volume

26

Issue

4

Start / End Page

530 / 540

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Numerical Analysis, Computer-Assisted
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kao, C.-Y., Hofer, M., Sapiro, G., Stem, J., Rehm, K., & Rottenberg, D. A. (2007). A geometric method for automatic extraction of sulcal fundi. IEEE Transactions on Medical Imaging, 26(4), 530–540. https://doi.org/10.1109/tmi.2006.886810
Kao, Chiu-Yen, Michael Hofer, Guillermo Sapiro, Josh Stem, Kelly Rehm, and David A. Rottenberg. “A geometric method for automatic extraction of sulcal fundi.IEEE Transactions on Medical Imaging 26, no. 4 (April 2007): 530–40. https://doi.org/10.1109/tmi.2006.886810.
Kao C-Y, Hofer M, Sapiro G, Stem J, Rehm K, Rottenberg DA. A geometric method for automatic extraction of sulcal fundi. IEEE transactions on medical imaging. 2007 Apr;26(4):530–40.
Kao, Chiu-Yen, et al. “A geometric method for automatic extraction of sulcal fundi.IEEE Transactions on Medical Imaging, vol. 26, no. 4, Apr. 2007, pp. 530–40. Epmc, doi:10.1109/tmi.2006.886810.
Kao C-Y, Hofer M, Sapiro G, Stem J, Rehm K, Rottenberg DA. A geometric method for automatic extraction of sulcal fundi. IEEE transactions on medical imaging. 2007 Apr;26(4):530–540.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

April 2007

Volume

26

Issue

4

Start / End Page

530 / 540

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Numerical Analysis, Computer-Assisted
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans