Non Parametric Approach for Axon Diameter Distribution Estimation from Diffusion Measurements

نویسندگان

  • Y. Assaf
  • P. J. Basser
چکیده

Introduction Diffusion imaging enables microscopic assessment of tissue structure by measuring the displacement of water molecules. Several models have been proposed to relate diffusion weighted MR signals and various structural features of the tissue. One recent model, the composite hindered and restricted model of diffusion (CHARMED), was shown to be able to extract white matter fiber orientation (even in areas with complex white matter architecture) . An extension of this framework (AxCaliber) provides an estimate of the axon diameter distribution of fascicles within white matter . This distribution is obtained by performing diffusion weighted MR experiments with multiple diffusion times and multiple diffusion weighting. Previously, it was assumed that the axon diameter distribution was given by a known parametric function, a γ-variate distribution. Yet this approach is problematic in diagnostic applications, and more generally, when one does not know the parametric form of the diameter distribution beforehand. In this work we have developed a non-parametric approach for estimating the axon diameter distribution, extending the range of applications of the AxCaliber framework.

برای دانلود رایگان 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

Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum

Axon diameter is an important neuroanatomical characteristic of the nervous system that alters in the course of neurological disorders such as multiple sclerosis. Axon diameters vary, even within a fiber bundle, and are not normally distributed. An accurate distribution function is therefore beneficial, either to describe axon diameters that are obtained from a direct measurement technique (e.g...

متن کامل

Fast and simplified mapping of mean axon diameter using temporal diffusion spectroscopy.

Mapping axon diameter is of interest for the potential diagnosis and monitoring of various neuronal pathologies. Advanced diffusion-weighted MRI methods have been developed to measure mean axon diameters non-invasively, but suffer major drawbacks that prevent their direct translation into clinical practice, such as complex non-linear data fitting and, more importantly, long scanning times that ...

متن کامل

Magnetic Resonance Characterization of General Compartment Size Distributions

INTRODUCTION The influence of molecular diffusion on the MR signal can be exploited to estimate compartment size distributions in heterogeneous specimens [1]. There has been recent interest in adopting this idea to characterize axon diameter distributions in white matter [2]. To this end, previous studies have assumed a known statistical distribution of compartment sizes (such as log-normal or ...

متن کامل

Is it feasible to estimate rotation-invariant non-parametric axon diameter distributions from PGSE? Preliminary insights from regularized discrete linear modeling and simulated intra-axonal signals

PURPOSE dMRI Axon Diameter Distribution (ADD) mapping was first introduced by Assaf through the use of non-linear optimization and a parametric model that imposed ADDs to follow a gamma distribution. Non-parametric ADD mapping was then shown to be feasible by solving a discrete linear problem of the form Ax=y, where A is a linear operator or dictionary, x are the ADD coefficients and y is the d...

متن کامل

Can AxCaliber be extended to estimate axonal radius and orientation at the same time?

Introduction One of the key ideas behind diffusion tensor (DT) imaging that explains its wide applicability, is the assumption that the diffusion of water molecules in live tissues, both inside and outside cells, is hindered in an anisotropic manner by the presence of membranes, and that mean displacement scales with square root of time. This assumption is obviously a simplification: diffusion ...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007