Anomalous Diffusion Tensor Imaging

نویسندگان

  • M. G. Hall
  • T. R. Barrick
چکیده

Introduction The observation of non-monoexponential decay of diffusion-weighted MR signals with b-value has been widely reported [1]. Using the theory of anomalous diffusion, several groups have derived a stretched-exponential form for this signal decay (e.g. [2][3]) which parameterises the signal in terms of a distributed diffusivity α (measuring the overall rate of diffusion) and an anomalous exponent γ which is a measure of the complexity of the environment and controls the degree of deviation of the signal from mono-exponential decay. Studies based on fitting the stretched-exponential form [2][3] have reported contrast between tissue types in images weighted by both parameters. In this study we extend the formalism of [3] to include directional anisotropy. The resulting technique, anomalous diffusion tensor imaging (aDTI), provides a tensor-based description of both parameters in the stretched-exponential form. This technique estimates a distributed diffusivity tensor, Α, and an anomalous exponent tensor, Γ, in each image voxel. As both tensors are symmetric and positive definite the same analysis methods may be applied as those routinely used in regular diffusion tensor imaging [4]. In particular, we examine the eigenvalues, Trace and FA of the tensors describing the distributed diffusivity and anomalous exponent as well as their principal eigenvector orientations. We find that both tensors provide estimates of principal fibre directions that are sufficient for tractographical reconstruction of the corpus callosum in a healthy subject.

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

Anisotropic fractional diffusion tensor imaging.

Traditional diffusion tensor imaging (DTI) maps brain structure by fitting a diffusion model to the magnitude of the electrical signal acquired in magnetic resonance imaging (MRI). Fractional DTI employs anomalous diffusion models to obtain a better fit to real MRI data, which can exhibit anomalous diffusion in both time and space. In this paper, we describe the challenge of developing and empl...

متن کامل

Numerical simulation of anomalous diffusion with application to medical imaging

Anomalous diffusion is applicable in environments that are not locally homogeneous, such as human brain tissue. In such environments the model of restricted diffusion commonly employed in the analysis of diffusion magnetic resonance data is not valid. Anomalous diffusion displays a nonlinear time dependence for the mean-squared displacement, and provides a prediction of a stretched exponential ...

متن کامل

Differentiation of Edematous, Tumoral and Normal Areas of Brain Using Diffusion Tensor and Neurite Orientation Dispersion and Density Imaging

Background: Presurigical planning for glioma tumor resection and radiotherapy treatment require proper delineation of tumoral and peritumoral areas of brain. Diffusion tensor imaging (DTI) is the most common mathematical model applied for diffusion weighted MRI data. Neurite orientation dispersion and density imaging (NODDI) is another mathematical model for DWI data modeling.Objective: We stud...

متن کامل

Anisotropic Anomalous Filter as a Tool for Decreasing Patient Exam Time in Diffusion Weighted Mri Protocols

Diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) are noisy submodalities images in magnetic resonance imaging (MRI) and usually have long acquisition time due to repetitions needed to improve the signal noise ratio (SNR). Here we propose and evaluate anisotropic anomalous diffusion (AAD) filter on DTI and DWI to enhance SNR and reduce the need for repetitions. Anisotropic ano...

متن کامل

Anisotropic anomalous diffusion assessed in the human brain by scalar invariant indices.

A new method to investigate anomalous diffusion in human brain, inspired by the stretched-exponential model proposed by Hall and Barrick, is proposed here, together with a discussion about its potential application to cerebral white matter characterization. Aim of the work was to show the ability of anomalous diffusion indices to characterize white matter structures, whose complexity is only pa...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009