A technique for single-channel MR brain tissue segmentation: Application to a pediatric sample

Jagath C. Rajapakse, Jay N. Giedd, Charles DeCarli, John W. Snell, Alan McLaughlin, Yolanda C. Vauss, Amy L. Krain, Susan Hamburger, Judith L. Rapoport

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


A segmentation method is presented for gray matter, white matter, and cerebrospinal fluid (CSF) in thin-sliced single-channel brain magnetic resonance (MR) scans. The method is based on probabilistic modeling of intensity distributions and on a region growing technique. Interrater and intrarater reliabilities for the method were high, and comparison with phantom studies and hand-traced results from an experienced rarer indicated good validity. The method was designed to account for spatially dependent image intensity inhomogeneities. Segmentation of MR brain scans of 105 (56 male and 49 female) healthy children and adolescents showed that although the total brain volume was stable over age 4-18, white matter increased and gray matter decreased significantly. There were no sex differences in total gray and white matter growth after correction for total brain volume. White matter volume increased the most in superior and posterior regions and laterality effects were seen in hemisphere tissue volumes. These findings are consistent with other reports, and further validate the segmentation technique.

Original languageEnglish (US)
Pages (from-to)1053-1065
Number of pages13
JournalMagnetic Resonance Imaging
Issue number9
StatePublished - 1996
Externally publishedYes


  • Brain imaging
  • Cerebrospinal fluid
  • Gray matter
  • Magnetic resonance imaging
  • Region growing
  • White matter

ASJC Scopus subject areas

  • Biophysics
  • Clinical Biochemistry
  • Structural Biology
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics


Dive into the research topics of 'A technique for single-channel MR brain tissue segmentation: Application to a pediatric sample'. Together they form a unique fingerprint.

Cite this