22-06-2011, 02:18 PM
Abstract. In this paper, we present some of our current studies on how human brain structures are influenced by cognitive disorders occurred from various neurological and psychiatric diseases based on magnetic resonance imaging (MRI). We first give a brief introduction about computational neuroanatomy, which is the basis of these studies. In Section 2, several novel methods on segmentations of brain tissue and anatomical substructures were presented. Section 3 presented some studies on brain image registration, which plays a core role in computational neuroanatomy. Shape analysis of substructures, cerebral cortical thickness and complexity was presented in Section 4. Finally,
some prospects and future research directions in this field are also given.
1 Introduction
Computational neuroanatomy here aims at computationally demanding quantitative neuro anatomic analyses, and computational modeling of brain structure and spatial organization based on such quantitative data. It has played an essential role in the study of cognitive disorders, especially on relationships between anatomical abnormalities and cognitive disorders [1]. The basic research topics in this field include brain tissue segmentation of MR images, intra- and inter-modality image registration, automatic lesion detection and segmentation, brain structure segmentation, registration and shape analysis and so on. IN recent years, more and more studies show their interest in these directions and also
achieve satisfying results [1][3]. In this paper, we will present some advances of our
current studies on detection of the anatomical abnormalities of human brain with
neurological and psychiatric diseases based on magnetic resonance imaging (MRI).
First, several novel methods on segmentations of brain tissue and anatomical
substructures, brain image registration, and computation of cerebral cortical thickness
and complexity will be presented. Then, we will present some interesting findings on
anatomical abnormalities when these methods were applied to human brain with various
cognitive disorders, including Alzheimer’s diseases, Schizophrenia, Attention Deficit
Hyperactivity Disorder, early blind and deaf, compared with matched normal controls.
Finally, some prospects and future research directions in this field are also given.
DOWNLOAD FULL REPORT
http://www.googleurl?sa=t&source=web&cd=...Fgh118.pdf&ei=-6sBTo3EE8nYiALUk62rCA&usg=AFQjCNHAbmLW0y_AD9R-vO-Q52udiD2rCA&sig2=V5b0Ebgz5LgElQizh7TSIg