Cortical reconstruction using implicit surface evolution: A landmark validation study

Duygu Tosun, Maryam E. Rettmann, Daniel Q. Naiman, Susan M. Resnick, Michael A Kraut, Jerry Ladd Prince

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

Abstract

A validation study was conducted to assess the accuracy of an algorithm developed for automatic reconstruction of the cerebral cortex from T1-weighted magnetic resonance (MR) brain images. Manually selected landmarks on different sulcal regions throughout the cortex were used to analyze the accuracy of three reconstructed nested surfaces - the inner, central, and pial surfaces. We conclude that the algorithm can find these surfaces with subvoxel accuracy, typically with an accuracy of one third of a voxel, although this varies by brain region and cortical geometry. Parameters were adjusted on the basis of this analysis in order to improve the algorithm's overall performance. 1

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
EditorsC. Barillot, D.R. Haynor, P. Hellier
Pages384-392
Number of pages9
Volume3216
EditionPART 1
StatePublished - 2004
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: Sep 26 2004Sep 29 2004

Other

OtherMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings
CountryFrance
CitySaint-Malo
Period9/26/049/29/04

Fingerprint

Implicit Surfaces
Landmarks
Brain
Cortex
Magnetic resonance
Magnetic Resonance
Voxel
Geometry
Vary

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Tosun, D., Rettmann, M. E., Naiman, D. Q., Resnick, S. M., Kraut, M. A., & Prince, J. L. (2004). Cortical reconstruction using implicit surface evolution: A landmark validation study. In C. Barillot, D. R. Haynor, & P. Hellier (Eds.), Lecture Notes in Computer Science (PART 1 ed., Vol. 3216, pp. 384-392)

Cortical reconstruction using implicit surface evolution : A landmark validation study. / Tosun, Duygu; Rettmann, Maryam E.; Naiman, Daniel Q.; Resnick, Susan M.; Kraut, Michael A; Prince, Jerry Ladd.

Lecture Notes in Computer Science. ed. / C. Barillot; D.R. Haynor; P. Hellier. Vol. 3216 PART 1. ed. 2004. p. 384-392.

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

Tosun, D, Rettmann, ME, Naiman, DQ, Resnick, SM, Kraut, MA & Prince, JL 2004, Cortical reconstruction using implicit surface evolution: A landmark validation study. in C Barillot, DR Haynor & P Hellier (eds), Lecture Notes in Computer Science. PART 1 edn, vol. 3216, pp. 384-392, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings, Saint-Malo, France, 9/26/04.
Tosun D, Rettmann ME, Naiman DQ, Resnick SM, Kraut MA, Prince JL. Cortical reconstruction using implicit surface evolution: A landmark validation study. In Barillot C, Haynor DR, Hellier P, editors, Lecture Notes in Computer Science. PART 1 ed. Vol. 3216. 2004. p. 384-392
Tosun, Duygu ; Rettmann, Maryam E. ; Naiman, Daniel Q. ; Resnick, Susan M. ; Kraut, Michael A ; Prince, Jerry Ladd. / Cortical reconstruction using implicit surface evolution : A landmark validation study. Lecture Notes in Computer Science. editor / C. Barillot ; D.R. Haynor ; P. Hellier. Vol. 3216 PART 1. ed. 2004. pp. 384-392
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