Over the course of the last century, the cerebral cortex has been of interest for neuroscientists, and the work with mapping and measuring the cortex started in the early 1900s (Brodmann 1909).The advances in medical imaging over the recent decades has given the opportunity to measure the cortex in vivo, and several algorithms and types of software applications has been developed for this purpose. These software applications can be used to execute complex analysis to determine both cortex thickness and density.The algorithms and software applications presented in this paper are the ones most utilized to measure cortical thickness today, and include four software applications and two algorithms. The basic principles of these tools will be ou...
The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in co...
Abstract Cortical surface area is an increasingly used brain morphology metric that is ontogenetical...
Purpose. The study of the stability of the results of MRI data processing at different noise levels,...
Over the course of the last century, the cerebral cortex has been of interest for neuroscientists, a...
Localized difference in the cortex is one of the most useful morphometric traits in human and animal...
Abstract. This paper presents a unified image processing and analysis framework for cortical thickne...
The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in co...
This dissertation describes a series of investigations designed to establish in-vivo analysis of cor...
Abstract: In Part I, some practical aspects of cortical thickness analysis are examined, using the ...
AbstractThe thickness of the cerebral cortex can provide valuable information about normal and abnor...
Accurate and reliable measures of cortical thickness from magnetic resonance imaging are an importan...
Objectives. We aimed to determine the precision of the Lapla-cian approach for cortical thickness me...
A new method is presented for fully automated regional quantification of human neo-cortical thicknes...
Several algorithms for measuring the cortical thickness in the human brain from MR image volumes hav...
The cortical thickness of the mammalian brain is an important morphological characteristic that can ...
The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in co...
Abstract Cortical surface area is an increasingly used brain morphology metric that is ontogenetical...
Purpose. The study of the stability of the results of MRI data processing at different noise levels,...
Over the course of the last century, the cerebral cortex has been of interest for neuroscientists, a...
Localized difference in the cortex is one of the most useful morphometric traits in human and animal...
Abstract. This paper presents a unified image processing and analysis framework for cortical thickne...
The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in co...
This dissertation describes a series of investigations designed to establish in-vivo analysis of cor...
Abstract: In Part I, some practical aspects of cortical thickness analysis are examined, using the ...
AbstractThe thickness of the cerebral cortex can provide valuable information about normal and abnor...
Accurate and reliable measures of cortical thickness from magnetic resonance imaging are an importan...
Objectives. We aimed to determine the precision of the Lapla-cian approach for cortical thickness me...
A new method is presented for fully automated regional quantification of human neo-cortical thicknes...
Several algorithms for measuring the cortical thickness in the human brain from MR image volumes hav...
The cortical thickness of the mammalian brain is an important morphological characteristic that can ...
The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in co...
Abstract Cortical surface area is an increasingly used brain morphology metric that is ontogenetical...
Purpose. The study of the stability of the results of MRI data processing at different noise levels,...