NeurotechniqueDiffusion MRI of Complex Neural Architecture
نویسندگان
چکیده
relatively freely along the neural fiber direction but are While functional brain imaging methods can locate the hindered in the fiber-transverse direction. The hindrance cortical regions subserving particular cognitive funcof water diffusion in white matter is putatively due to tions, the connectivity between the functional areas of the diffusion barrier presented by the cell membrane the human brain remains poorly understood. Recently, and the myelin sheath (Beaulieu, 2002; Le Bihan et al., investigators have proposed a method to image neural 1993; Norris, 2001). connectivity noninvasively using a magnetic resoBy measuring the direction of the diffusion anisotropy nance imaging method called diffusion tensor imaging within each voxel, DTI provides an estimate of the neural (DTI). DTI measures the molecular diffusion of water fiber direction within each voxel. The resulting image along neural pathways. Accurate reconstruction of represents a three-dimensional vector field image of neural connectivity patterns from DTI has been hinthe neural fiber orientation. The so-called tractography dered, however, by the inability of DTI to resolve more problem entails computationally reconstructing neural than a single axon direction within each imaging voxel. pathways from the diffusion tensor vector field (Basser Here, we present a novel magnetic resonance imaging et al., 2000; Conturo et al., 1999; Jones et al., 1999; Koch technique that can resolve multiple axon directions et al., 2002; Mangin et al., 2002; Mori et al., 1999; Mori within a single voxel. The technique, called q-ball imand Van Zijl, 2002; Parker et al., 2002; Pierpaoli et al., aging, can resolve intravoxel white matter fiber cross2001; Poupon et al., 2000; Xue et al., 1999). The tractoging as well as white matter insertions into cortex. The raphy problem is analogous to the problem in hydrodyability of q-ball imaging to resolve complex intravoxel namics of reconstructing flow streamlines from a fluidfiber architecture eliminates a key obstacle to mapflow vector field. ping neural connectivity in the human brain noninvaReconstruction of neural pathways from DTI is consively. founded, however, by the limitation that DTI can only
منابع مشابه
A hierarchical Convolutional Neural Network for Segmentation of Stroke Lesion in 3D Brain MRI
Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...
متن کاملNeuro-ACT Cognitive Architecture Applications in Modeling Driver’s Steering Behavior in Turns
Cognitive Architectures (CAs) are the core of artificial cognitive systems. A CA is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. Over the years a number of distinct CAs have been proposed by different authors and their limitations and potentials were investigated. These CAs are usually classified as symbolic and...
متن کاملA hierarchical Convolutional Neural Network for Segmentation of Stroke Lesion in 3D Brain MRI
Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...
متن کاملEfficient Short-Term Electricity Load Forecasting Using Recurrent Neural Networks
Short term load forecasting (STLF) plays an important role in the economic and reliable operation ofpower systems. Electric load demand has a complex profile with many multivariable and nonlineardependencies. In this study, recurrent neural network (RNN) architecture is presented for STLF. Theproposed model is capable of forecasting next 24-hour load profile. The main feature in this networkis ...
متن کاملA Two-Dimensional Convolutional Neural Network for Brain Tumor Detection From MRI
Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003