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- Neda Sepasian, J. H. M. ten Thije Boonkkamp, Bart M. ter Haar Romeny, Anna Vilanova
- SIAM J. Imaging Sciences
- 2012

Diffusion tensor imaging (DTI) is a magnetic resonance technique used to explore anatomical fibrous structures, like brain white matter. Fiber-tracking methods use the diffusion tensor (DT) field to reconstruct the corresponding fibrous structure. A group of fiber-tracking methods trace geodesics on a Riemannian manifold whose metric is defined as a… (More)

- Evert van Aart, Neda Sepasian, Andrei Jalba, Anna Vilanova
- Int. J. Biomedical Imaging
- 2011

Diffusion Tensor Imaging (DTI) allows to noninvasively measure the diffusion of water in fibrous tissue. By reconstructing the fibers from DTI data using a fiber-tracking algorithm, we can deduce the structure of the tissue. In this paper, we outline an approach to accelerating such a fiber-tracking algorithm using a Graphics Processing Unit (GPU). This… (More)

- Neda Sepasian, Anna Vilanova, Luc Florack, Bart M. ter Haar Romeny
- 2008 IEEE Computer Society Conference on Computer…
- 2008

We present multi-valued solution algorithm for geodesic-based fiber tracking in a tensor-warped space given by diffusion tensor imaging data. This technique is based on solving ordinary differential equations describing geodesics by a ray tracing algorithm. The algorithm can capture all possible geodesics connecting two given points instead of a single… (More)

- Neda Sepasian, J. H. M. ten Thije Boonkkamp, Luc Florack, Bart M. ter Haar Romeny, Anna Vilanova
- Visualization and Processing of Tensors and…
- 2014

- Renata Georgia Raidou, Hugo J. Kuijf, +4 authors Anna Vilanova
- MICCAI
- 2016

Accurate segmentation of brain white matter hyperintensities (WMHs) is important for prognosis and disease monitoring. To this end, classifiers are often trained – usually, using T1 and FLAIR weighted MR images. Incorporating additional features, derived from diffusion weighted MRI, could improve classification. However, the multitude of diffusion-derived… (More)

- Neda Sepasian, Ter Haar Romeny
- 2010

We propose a new geodesic based algorithm for fiber tracking in diffusion tensor imaging data. Our algorithm computes the multi-valued solutions from the Euler-Lagrange form of the geodesic equations. Compared to other geodesic based approaches, multi-valued solutions at each grid point are computed rather than just computing the viscosity solution. This… (More)

Axon diameter estimation has been a focus of the diffusion MRI community for the past decade. The main argument has been that while diffusion models always overestimate the true axon diameter, their estimation still correlates with changes in true value. Until now, this remains more as a discussion point. The aim of this paper is to clarify this hypothesis… (More)

- Laura Astola, Neda Sepasian, Tom C. J. Dela Haije, Andrea Fuster, Luc Florack
- Axioms
- 2014

In Riemannian geometry, a distance function is determined by an inner product on the tangent space. In Riemann–Finsler geometry, this distance function can be determined by a norm. This gives more freedom on the form of the so-called indicatrix or the set of unit vectors. This has some interesting applications, e.g., in medical image analysis, especially in… (More)

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