The strategy introduced in this paper is an essen- tial prerequisite for the integration of fiber tract data into 3D MR datasets. The fused data is of high.

PDF | On Jan 1, 2004, Dorit Merhof and others published Non-linear Integration of DTI-based Fiber Tracts into Standard 3D MR Data.

Diffusion tensor imaging (DTI) provides informa- tion about the location of white matter tracts within the human brain. This information is essential.

In this paper, we present a novel approach to account for those distortions. All voxels containing fibers within the distorted DT dataset were marked.

We investigated whether the integration of functional MR imaging (fMRI) data and diffusion tensor (DT) tractography can be used to evaluate the spatial ...

Diffusion tensor imaging (DTI)-based fiber tractography is routinely used in clinical applications to visualize major white matter tracts.

Tractography applied to the tensor field in diffusion tensor imaging (DTI) results in sets of streamlines which can be associated with major fiber tracts.

ABSTRACT: The state of the art of reconstruction of the axonal tracts in the central nervous system (CNS) using diffusion tensor imaging (DTI) is reviewed.

Nimsky. Non- linear Integration of DTI-based Fiber Tracts into Standard 3D MR Data. In: Proc. Vision, Modeling, and Visualization (VMV), pp. 371–377 ...

Non-linear methods are suited for computing representations when distances between points are given explicitly but coordinate values for the points are unknown, ...