Conference proceeding
Comparison of automated and manual segmentation of hippocampus MR images
Proceedings of SPIE, Vol.2434(1), pp.206-215
Medical Imaging 1995: Image Processing
05/12/1995
DOI: 10.1117/12.208692
Abstract
The precision and accuracy of area estimates from magnetic resonance (MR) brain images and using manual and automated segmentation methods are determined. Areas of the human hippocampus were measured to compare a new automatic method of segmentation with regions of interest drawn by an expert. MR images of nine normal subjects and nine schizophrenic patients were acquired with a 1.5-T unit (Siemens Medical Systems, Inc., Iselin, New Jersey). From each individual MPRAGE 3D volume image a single comparable 2-D slice (matrix equals 256 X 256) was chosen which corresponds to the same coronal slice of the hippocampus. The hippocampus was first manually segmented, then segmented using high dimensional transformations of a digital brain atlas to individual brain MR images. The repeatability of a trained rater was assessed by comparing two measurements from each individual subject. Variability was also compared within and between subject groups of schizophrenics and normal subjects. Finally, the precision and accuracy of automated segmentation of hippocampal areas were determined by comparing automated measurements to manual segmentation measurements made by the trained rater on MR and brain slice images. The results demonstrate the high repeatability of area measurement from MR images of the human hippocampus. Automated segmentation using high dimensional transformations from a digital brain atlas provides repeatability superior to that of manual segmentation. Furthermore, the validity of automated measurements was demonstrated by a high correlation with manual segmentation measurements made by a trained rater. Quantitative morphometry of brain substructures (e.g. hippocampus) is feasible by use of a high dimensional transformation of a digital brain atlas to an individual MR image. This method automates the search for neuromorphological correlates of schizophrenia by a new mathematically robust method with unprecedented sensitivity to small local and regional differences.
Details
- Title: Subtitle
- Comparison of automated and manual segmentation of hippocampus MR images
- Creators
- John W Haller - Washington University in St. LouisGary E Christensen - Washington University in St. LouisMichael I Miller - Washington University in St. LouisSarang C Joshi - Washington University in St. LouisMokhtar Gado - Washington Univ. School of Medicine (USA)John G Csernansky - Washington Univ. School of Medicine (USA)Michael W Vannier - Washington Univ. School of Medicine (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.2434(1), pp.206-215
- Conference
- Medical Imaging 1995: Image Processing
- DOI
- 10.1117/12.208692
- ISSN
- 0277-786X
- eISSN
- 1996-756X
- Language
- English
- Date published
- 05/12/1995
- Academic Unit
- Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory
- Record Identifier
- 9984197234702771
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