A Bayesian model of shape and appearance for subcortical brain segmentation
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …
LoAd: a locally adaptive cortical segmentation algorithm
Thickness measurements of the cerebral cortex can aid diagnosis and provide valuable
information about the temporal evolution of diseases such as Alzheimer's, Huntington's, and …
information about the temporal evolution of diseases such as Alzheimer's, Huntington's, and …
An evaluation of four automatic methods of segmenting the subcortical structures in the brain
The automation of segmentation of subcortical structures in the brain is an active research
area. We have comprehensively evaluated four novel methods of fully automated …
area. We have comprehensively evaluated four novel methods of fully automated …
Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI
KO Babalola, B Patenaude, P Aljabar… - … Image Computing and …, 2008 - Springer
The automation of segmentation of medical images is an active research area. However,
there has been criticism of the standard of evaluation of methods. We have comprehensively …
there has been criticism of the standard of evaluation of methods. We have comprehensively …
[HTML][HTML] Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling
Quantitative analysis of magnetic resonance imaging (MRI) scans of the brain requires
accurate automated segmentation of anatomical structures. A desirable feature for such …
accurate automated segmentation of anatomical structures. A desirable feature for such …
A robust method for extraction and automatic segmentation of brain images
N Kovacevic, NJ Lobaugh, MJ Bronskill, B Levine… - Neuroimage, 2002 - Elsevier
A new protocol is introduced for brain extraction and automatic tissue segmentation of MR
images. For the brain extraction algorithm, proton density and T2-weighted images are used …
images. For the brain extraction algorithm, proton density and T2-weighted images are used …
Segmentation and interpretation of MR brain images. An improved active shape model
This paper reports a novel method for fully automated segmentation that is based on
description of shape and its variation using point distribution models (PDM's). An …
description of shape and its variation using point distribution models (PDM's). An …
Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures
S Powell, VA Magnotta, H Johnson… - Neuroimage, 2008 - Elsevier
The large amount of imaging data collected in several ongoing multi-center studies requires
automated methods to delineate brain structures of interest. We have previously reported on …
automated methods to delineate brain structures of interest. We have previously reported on …
[HTML][HTML] Bayesian segmentation of brainstem structures in MRI
In this paper we present a method to segment four brainstem structures (midbrain, pons,
medulla oblongata and superior cerebellar peduncle) from 3D brain MRI scans. The …
medulla oblongata and superior cerebellar peduncle) from 3D brain MRI scans. The …
An accurate and efficient Bayesian method for automatic segmentation of brain MRI
Automatic three-dimensional (3-D) segmentation of the brain from magnetic resonance (MR)
scans is a challenging problem that has received an enormous amount of attention lately. Of …
scans is a challenging problem that has received an enormous amount of attention lately. Of …