Quantitative validation of a deformable cortical surface model

Daphne N. Yu, Chenyang Xu, Maryam E. Rettmann, Dzung L. Pham, Jerry Ladd Prince

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

Abstract

Accurate reconstruction of the human cerebral cortex from magnetic resonance (MR) images is important for brain morphometric analysis, image-guided surgery, and functional mapping. Previously, we have implemented a cortical surface reconstruction method that employs fuzzy segmentation, isosurfaces and deformable surface models. The accuracy of the fuzzy segmentation has been well-studied using simulated brain images. However, global quantitative validation of the cortical surface model has not been feasible due to the lack of a true representation of the cortical surface. In this paper, we have alternately validated the deformable surface model used in one cortical surface reconstruction method by using a metasphere computational phantom. A metasphere is a mathematically defined three-dimensional (3-D) surface that has convolutions similar to the cortex. We simulated 500 image volumes using metaspheres with various numbers and degrees of convolutions. Different levels of Gaussian noise were also incorporated. Quantification of the differences between the reconstructed surfaces and the true metasphere surfaces provides a measure of the deformable model accuracy in relation to the properties of the modeled object and data quality.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Volume3979
StatePublished - 2000
EventMedical Imaging 2000: Image Processing - San Diego, CA, USA
Duration: Feb 14 2000Feb 17 2000

Other

OtherMedical Imaging 2000: Image Processing
CitySan Diego, CA, USA
Period2/14/002/17/00

Fingerprint

Surface reconstruction
Convolution
Brain
convolution integrals
brain
cerebral cortex
Magnetic resonance
Surgery
Image analysis
cortexes
random noise
image analysis
surgery
magnetic resonance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Yu, D. N., Xu, C., Rettmann, M. E., Pham, D. L., & Prince, J. L. (2000). Quantitative validation of a deformable cortical surface model. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3979). Society of Photo-Optical Instrumentation Engineers.

Quantitative validation of a deformable cortical surface model. / Yu, Daphne N.; Xu, Chenyang; Rettmann, Maryam E.; Pham, Dzung L.; Prince, Jerry Ladd.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3979 Society of Photo-Optical Instrumentation Engineers, 2000.

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

Yu, DN, Xu, C, Rettmann, ME, Pham, DL & Prince, JL 2000, Quantitative validation of a deformable cortical surface model. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 3979, Society of Photo-Optical Instrumentation Engineers, Medical Imaging 2000: Image Processing, San Diego, CA, USA, 2/14/00.
Yu DN, Xu C, Rettmann ME, Pham DL, Prince JL. Quantitative validation of a deformable cortical surface model. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3979. Society of Photo-Optical Instrumentation Engineers. 2000
Yu, Daphne N. ; Xu, Chenyang ; Rettmann, Maryam E. ; Pham, Dzung L. ; Prince, Jerry Ladd. / Quantitative validation of a deformable cortical surface model. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3979 Society of Photo-Optical Instrumentation Engineers, 2000.
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