Journal article
Measurement of Brain Structures with Artificial Neural Networks: Two- and Three-dimensional Applications
Radiology, Vol.211(3), pp.781-790
06/1999
DOI: 10.1148/radiology.211.3.r99ma07781
PMID: 10352607
Abstract
Purpose: To evaluate the ability of an artificial neural network (ANN) to identify brain structures. This ANN was applied to postprocessed magnetic resonance (MR) images to segment various brain structures in both two- and three-dimensional applications.
Materials and methods: An ANN was designed that learned from experience to define the corpus callosum, whole brain, caudate, and putamen. Manual segmentation was used as a training set for the ANN. The ANN was trained on two-thirds of the manually segmented images and was tested on the remaining one-third. The reliability of the ANN was compared against manual segmentations by two technicians.
Results: The ANN was able to identify the brain structures as readily and as well as did the two technicians. Reliability of the ANN compared with the technicians was 0.96 for the corpus callosum, 0.95 for the whole brain, 0.86 (right) and 0.93 (left) for the caudate, and 0.71 (right) and 0.88 (left) for the putamen.
Conclusion: The ANN was able to identify the structures used in this study as well as did the two technicians. The ANN could do this much more rapidly and without rater drift. Several other cortical and subcortical structures could also be readily identified with this method.
Details
- Title: Subtitle
- Measurement of Brain Structures with Artificial Neural Networks: Two- and Three-dimensional Applications
- Creators
- Vincent A MagnottaDan HeckelNancy C AndreasenTed CizadloPatricia Westmoreland CorsonJames C EhrhardtWilliam T. C Yuh
- Resource Type
- Journal article
- Publication Details
- Radiology, Vol.211(3), pp.781-790
- DOI
- 10.1148/radiology.211.3.r99ma07781
- PMID
- 10352607
- ISSN
- 0033-8419
- eISSN
- 1527-1315
- Language
- English
- Date published
- 06/1999
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984003461602771
Metrics
34 Record Views