Diffusion MRI of Complex Neural Architecture

نویسندگان

  • David S. Tuch
  • Timothy G. Reese
  • Mette R. Wiegell
  • Van J. Wedeen
چکیده

While functional brain imaging methods can locate the cortical regions subserving particular cognitive functions, the connectivity between the functional areas of the human brain remains poorly understood. Recently, investigators have proposed a method to image neural connectivity noninvasively using a magnetic resonance imaging method called diffusion tensor imaging (DTI). DTI measures the molecular diffusion of water along neural pathways. Accurate reconstruction of neural connectivity patterns from DTI has been hindered, however, by the inability of DTI to resolve more than a single axon direction within each imaging voxel. Here, we present a novel magnetic resonance imaging technique that can resolve multiple axon directions within a single voxel. The technique, called q-ball imaging, can resolve intravoxel white matter fiber crossing as well as white matter insertions into cortex. The ability of q-ball imaging to resolve complex intravoxel fiber architecture eliminates a key obstacle to mapping neural connectivity in the human brain noninvasively.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

DT-MRI Tractography and its Application in Cognitive Neuroscience

Recent advancement of MRI techniques and development of new methods of image analysis have allowed us to study large neural tracts within the human brain. This is based on the principle of diffusion tensor MRI that is similar to that of diffusion-weighted imaging but takes magnitude and direction of the diffusion of water into account. Using this technique we have been able to define large neur...

متن کامل

DT-MRI Tractography and its Application in Cognitive Neuroscience

Recent advancement of MRI techniques and development of new methods of image analysis have allowed us to study large neural tracts within the human brain. This is based on the principle of diffusion tensor MRI that is similar to that of diffusion-weighted imaging but takes magnitude and direction of the diffusion of water into account. Using this technique we have been able to define large neur...

متن کامل

The Benefits and implementations of Diffusion tensor imaging and Neural Fiber Tractography in Brain Surgery

Background and Aim: The methods for detecting brain activation with fMRI, MRI provides a way to measure the anatomical connections which enable lightning-fast communication among neurons that specialize in different kinds of brain functions. Diffusion tensor imaging is able to measure the direction of bundles of the axonal fibers which are all aligned. Besides mapping white matter fiber tracts,...

متن کامل

Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers

MRI tractography is the mapping of neural fiber pathways based on diffusion MRI of tissue diffusion anisotropy. Tractography based on diffusion tensor imaging (DTI) cannot directly image multiple fiber orientations within a single voxel. To address this limitation, diffusion spectrum MRI (DSI) and related methods were developed to image complex distributions of intravoxel fiber orientation. Her...

متن کامل

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 کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Neuron

دوره 40  شماره 

صفحات  -

تاریخ انتشار 2003