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In-utero three dimension high resolution fetal brain diffusion tensor imaging

TLDR
3D high resolution in-utero fetal brain DTI is presented that shows excellent ADC as well as promising FA maps and has been validated on adults imaged at 1.5T.
Abstract
We present a methodology to achieve 3D high resolution in-utero fetal brain DTI that shows excellent ADC as well as promising FA maps. After continuous DTI scanning to acquire a repeated series of parallel slices with 15 diffusion directions, image registration is used to realign the images to correct for fetal motion. Once aligned, the diffusion images are treated as irregularly sampled data where each voxel is associated with an appropriately rotated diffusion direction, and used to estimate the diffusion tensor on a regular grid. The method has been tested successful on eight fetuses and has been validated on adults imaged at 1.5T.

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Journal ArticleDOI

Quantitative in vivo MRI measurement of cortical development in the fetus.

TL;DR: The in vivo fetal cortical folding pattern in healthy fetuses between 25 and 35 weeks gestational age is investigated using 3-D reconstructed fetal cortical surfaces using a robust feature extraction algorithm applied directly on the cortical surface, providing an explicit delineation of the sulcal pattern during fetal brain development.
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Normative fetal brain growth by quantitative in vivo magnetic resonance imaging.

TL;DR: The availability and ongoing validation of normative Fetal magnetic resonance imaging trajectories will provide important tools for early detection of impaired fetal brain growth upon which to manage high-risk pregnancies.
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Structural network analysis of brain development in young preterm neonates.

TL;DR: This work examines a cohort of 47 normal preterm neonates scanned between 27 and 45 weeks post-menstrual age to further the understanding of how the structural connectome develops, observing that the brain networks in preterm infants, much like infants born at term, show high efficiency and clustering measures across a range of network scales.
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How Forces Fold the Cerebral Cortex.

TL;DR: From a mechanical forces perspective, the importance of mechanical forces in the current understanding of how brains fold is established, and realistic ranges for specific parameters in biophysical models of developing brain tissue are identified.
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Connecting the developing preterm brain

TL;DR: Diffusion Tensor Imaging allows non-invasive, in vivo visualization and quantification of white matter tracts and has become a valuable tool in assessing white matter maturation in children born preterm.
References
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Journal ArticleDOI

LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares

TL;DR: Numerical tests are described comparing I~QR with several other conjugate-gradient algorithms, indicating that I ~QR is the most reliable algorithm when A is ill-conditioned.
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An overlap invariant entropy measure of 3D medical image alignment

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Scattered data interpolation with multilevel B-splines

TL;DR: The paper describes a fast algorithm for scattered data interpolation and approximation that makes use of a coarse to fine hierarchy of control lattices to generate a sequence of bicubic B-spline functions whose sum approaches the desired interpolation function.
BookDOI

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005

TL;DR: Find the secret to improve the quality of life by reading this medical image computing and computer assisted intervention miccai 2005 8th international conferenc.
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