Hippocampal MR imaging morphometry by means of general pattern matching

John W. Haller, Gary E. Christensen, Sarang C. Joshi, John W. Newcomer, Michael I. Miller, John G. Csernansky, Michael W. Vannier*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

PURPOSE: To determine the repeatability and validity of a pattern- matching method for the segmentation and measurement of hippocampi on magnetic resonance (MR) images. MATERIALS AND METHODS: Comparable two- dimensional MR images obtained in 18 subjects (nine healthy control subjects [six men, three women; aged 24-54 years] and nine patients with schizophrenia [six men, three women; aged 22-61 years]) were twice segmented manually and twice segmented by using pattern matching with digital atlas transformation. The atlas transformation was accomplished in two steps: global followed by local matching. Global matching was performed with use of landmarks; local matching was performed with use of a viscous fluid model. RESULTS: The mean percentage of difference between two atlas-based measurements was 1.33% ± 1.23 (± standard deviation); that between two manual measurements was 4.67% ± 4.71. The validity of the atlas transformation measurements was demonstrated by means of the high correlation (intraclass correlation coefficient = .96) with manual segmentation measurements. Schizophrenic hippocampal areas tended to be smaller; however, no differences in hippocampal shape were found between patients with schizophrenia and patients with control subjects. CONCLUSION: General pattern matching of a digital brain atlas to an individual MR image is a mathematically robust method of measurement that is reproducible and less variable than manual measurement.

Original languageEnglish (US)
Pages (from-to)787-791
Number of pages5
JournalRadiology
Volume199
Issue number3
DOIs
StatePublished - Jun 1996

Keywords

  • Brain, MR
  • Brain, abnormalities
  • Computers, diagnostic aid
  • Hippocampus
  • Magnetic resonance (MR), image processing
  • Schizophrenia

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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