Conference proceeding
Automated tissue classification of pediatric brains from magnetic resonance images using age-specific atlases
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.9788, pp.978820-978820-7
03/29/2016
DOI: 10.1117/12.2216116
Abstract
The goal of this project was to develop two age appropriate atlases (neonatal and one year old) that account for the rapid growth and maturational changes that occur during early development. Tissue maps from this age group were initially created by manually correcting the resulting tissue maps after applying an expectation maximization (EM) algorithm and an adult atlas to pediatric subjects. The EM algorithm classified each voxel into one of ten possible tissue types including several subcortical structures. This was followed by a novel level set segmentation designed to improve differentiation between distal cortical gray matter and white matter. To minimize the req uired manual corrections, the adult atlas was registered to the pediatric scans using high -dimensional, symmetric image normalization (SyN) registration. The subject images were then mapped to an age specific atlas space, again using SyN registration, and the resulting transformation applied to the manually corrected tissue maps. The individual maps were averaged in the age specific atlas space and blurred to generate the age appropriate anatomical priors. The resulting anatomical priors were then used by the EM algorithm to re-segment the initial training set as well as an independent testing set. The results from the adult and age-specific anatomical priors were compared to the manually corrected results. The age appropriate atlas provided superior results as compared to the adult atlas. The image analysis pipeline used in this work was built using the open source software package BRAINSTools.
Details
- Title: Subtitle
- Automated tissue classification of pediatric brains from magnetic resonance images using age-specific atlases
- Creators
- Andrew Metzger - Univ. of Iowa (United States)Amanda Benavides - Univ. of Iowa (United States)Peg Nopoulos - Univ. of Iowa (United States)Vincent Magnotta - Univ. of Iowa (United States)
- Contributors
- Barjor Gimi (Editor) - Geisel School of Medicine at Dartmouth (United States)Andrzej Krol (Editor) - SUNY Upstate Medical Univ. (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.9788, pp.978820-978820-7
- Publisher
- SPIE
- DOI
- 10.1117/12.2216116
- ISSN
- 1605-7422
- Language
- English
- Date published
- 03/29/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Neurology; Stead Family Department of Pediatrics; Psychiatry; Radiology; Iowa Neuroscience Institute
- Record Identifier
- 9984070823402771
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