Construction of a dynamic 4D probabilistic atlas for the developing brain

Construction of a dynamic 4D probabilistic atlas for the developing brain

Probabilistic atlases have been established in the literature as a standard tool for enhancing the intensity-based classification of brain MRI. The rapidly growing neonatal brain requires an age-specific spatial probabilistic atlas to guide the segmentation process. In this paper we describe a metho...

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Main Authors: Murgasova, Maria, Srinivasan, Latha, Gousias, Ioannis S, Aljabar, Paul, Hajnal, Joseph V, Edwards, A David, Rueckert, Daniel
Format: Conference Proceeding
Language:eng
Subjects:
Biomedical imaging
Educational institutions
Geometry
Image segmentation
Kernel
Magnetic resonance imaging
Pediatrics
Robustness
Shape
Vectors
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recordid cdi_ieee_primary_5490145
title Construction of a dynamic 4D probabilistic atlas for the developing brain
format Conference Proceeding
creator Murgasova, Maria
Srinivasan, Latha
Gousias, Ioannis S
Aljabar, Paul
Hajnal, Joseph V
Edwards, A David
Rueckert, Daniel
subjects Biomedical imaging
Educational institutions
Geometry
Image segmentation
Kernel
Magnetic resonance imaging
Pediatrics
Robustness
Shape
Vectors
ispartof 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010, p.952-955
description Probabilistic atlases have been established in the literature as a standard tool for enhancing the intensity-based classification of brain MRI. The rapidly growing neonatal brain requires an age-specific spatial probabilistic atlas to guide the segmentation process. In this paper we describe a method for dynamically creating a probabilistic atlas for any chosen stage of neonatal brain development. The atlas is created from the segmentations of 153 subjects of different ages using a kernel regression method. For any given age, an intensity template as well as the corresponding tissue probability maps with the correct sizes and shapes of the structures can be dynamically generated. The resulting atlas provides prior tissue probability maps for six structures - cortex, white matter, subcortical gray matter, brainstem and cerebellum, for ages of 29 to 44 weeks of gestation.
language eng
source IEEE Xplore All Conference Series
identifier ISSN: 1945-7928
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issn 1945-7928
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