Journal article
A Unified Approach to Diffusion Direction Sensitive Slice Registration and 3-D DTI Reconstruction From Moving Fetal Brain Anatomy
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
University of Washington2
Oregon National Primate Research Center3
Seattle Children’s Hospital4
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark5
Université de Strasbourg6
This paper presents an approach to 3-D diffusion tensor image (DTI) reconstruction from multi-slice diffusion weighted (DW) magnetic resonance imaging acquisitions of the moving fetal brain. Motion scatters the slice measurements in the spatial and spherical diffusion domain with respect to the underlying anatomy.
Previous image registration techniques have been described to estimate the between slice fetal head motion, allowing the reconstruction of 3D a diffusion estimate on a regular grid using interpolation. We propose Approach to Unified Diffusion Sensitive Slice Alignment and Reconstruction (AUDiSSAR) that explicitly formulates a process for diffusion direction sensitive DW-slice-to-DTI-volume alignment.
This also incorporates image resolution modeling to iteratively deconvolve the effects of the imaging point spread function using the multiple views provided by thick slices acquired in different anatomical planes. The algorithm is implemented using a multi-resolution iterative scheme and multiple real and synthetic data are used to evaluate the performance of the technique.
An accuracy experiment using synthetically created motion data of an adult head and an experiment using synthetic motion added to sedated fetal monkey dataset show a significant improvement in motion-trajectory estimation compared to current state-of-the-art approaches. The performance of the method is then evaluated on challenging but clinically typical in utero fetal scans of four different human cases, showing improved rendition of cortical anatomy and extraction of white matter tracts.
While the experimental work focuses on DTI reconstruction (second-order tensor model), the proposed reconstruction framework can employ any 5-D diffusion volume model that can be represented by the spatial parameterizations of an orientation distribution function.
Language: | English |
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Publisher: | IEEE |
Year: | 2014 |
Pages: | 272-289 |
ISSN: | 1558254x and 02780062 |
Types: | Journal article |
DOI: | 10.1109/TMI.2013.2284014 |
ORCIDs: | Wilm, Jakob |
3D DTI reconstruction 3D diffusion tensor image reconstruction 5D diffusion volume model Algorithms Brain Diffusion Tensor Imaging Diffusion tensor image (DTI) Female Fetus Head Humans Image reconstruction Image resolution Imaging, Three-Dimensional Magnetic resonance imaging Pregnancy Prenatal Diagnosis Tensile stress Three-dimensional displays adult head anatomical planes biodiffusion biomedical MRI brain clinically typical in utero fetal scans cortical anatomy current state-of-the-art approaches diffusion direction sensitive DW-slice-to-DTI-volume alignment diffusion direction sensitive slice registration fetal imaging image reconstruction image registration image resolution image resolution modeling interpolation iterative method medical image processing motion estimation motion scatters motion-estimation motion-trajectory estimation moving fetal brain anatomy multi slice MR multiresolution iterative scheme multislice diffusion weighted magnetic resonance imaging acquisitions neurophysiology optical transfer function orientation distribution function point spread function imaging reconstruction second-order tensor model sedated fetal monkey dataset sensitivity slice fetal head motion slice measurements spatial diffusion domain spatial parameterizations spherical diffusion domain synthetically created motion data unified diffusion sensitive slice alignment-and-reconstruction white matter tract extraction