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.
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.
Authors: D Mungas; D Harvey; B R Reed; W J Jagust; C DeCarli; L Beckett; W J Mack; J H Kramer; M W Weiner; N Schuff; H C Chui Journal: Neurology Date: 2005-08-23 Impact factor: 9.910
Authors: Valerie A Cardenas; Linda L Chao; Rob Blumenfeld; Enmin Song; Dieter J Meyerhoff; Michael W Weiner; Colin Studholme Journal: Hum Brain Mapp Date: 2005-07 Impact factor: 5.038
Authors: Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson Journal: Neuroimage Date: 2008-11-08 Impact factor: 6.556
Authors: D Mungas; W J Jagust; B R Reed; J H Kramer; M W Weiner; N Schuff; D Norman; W J Mack; L Willis; H C Chui Journal: Neurology Date: 2001-12-26 Impact factor: 9.910
Authors: J G Csernansky; S Joshi; L Wang; J W Haller; M Gado; J P Miller; U Grenander; M I Miller Journal: Proc Natl Acad Sci U S A Date: 1998-09-15 Impact factor: 11.205
Authors: Joel H Kramer; Dan Mungas; Bruce R Reed; Norbert Schuff; Michael W Weiner; Bruce L Miller; Helena C Chui Journal: Clin Neuropsychol Date: 2004-02 Impact factor: 3.535