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Article
Publisher Correction to: Morphological Features of Language Regions in Individuals with Tuberous Sclerosis Complex
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Article
Open AccessSlicerCBM: automatic framework for biomechanical analysis of the brain
Brain shift that occurs during neurosurgery disturbs the brain’s anatomy. Prediction of the brain shift is essential for accurate localisation of the surgical target. Biomechanical models have been envisaged a...
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Article
Open AccessA structural brain network of genetic vulnerability to psychiatric illness
Psychiatry is undergoing a paradigm shift from the acceptance of distinct diagnoses to a representation of psychiatric illness that crosses diagnostic boundaries. How this transition is supported by a shared n...
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Article
Open AccessMyofiber organization in the failing systemic right ventricle
The right ventricle (RV) often fails when functioning as the systemic ventricle, but the cause is not understood. We tested the hypothesis that myofiber organization is abnormal in the failing systemic right v...
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Article
Correction to: Prospective pediatric study comparing glomerular filtration rate estimates based on motion-robust dynamic contrast-enhanced magnetic resonance imaging and serum creatinine (eGFR) to 99mTc DTPA
The originally published version of this article contained a typographical error. In the text under the subheading “Dynamic contrast-enhanced MRI method, post-processing, and MR-GFR calculation” and in Table 1...
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Article
Open AccessEarly white matter development is abnormal in tuberous sclerosis complex patients who develop autism spectrum disorder
Autism spectrum disorder (ASD) is prevalent in tuberous sclerosis complex (TSC), occurring in approximately 50% of patients, and is hypothesized to be caused by disruption of neural circuits early in life. Tub...
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Article
Open AccessExtra-axonal restricted diffusion as an in-vivo marker of reactive microglia
Reactive microgliosis is an important pathological component of neuroinflammation and has been implicated in a wide range of brain diseases including brain tumors, multiple sclerosis, Parkinson’s disease, Alzh...
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Article
Open AccessObjective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
We present a study of multiple sclerosis segmentation algorithms conducted at the international MICCAI 2016 challenge. This challenge was operated using a new open-science computing infrastructure. This allowe...
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Chapter and Conference Paper
A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI
The single diffusion tensor model for map** the brain white matter microstructure has long been criticized as providing sensitive yet non-specific clinical biomarkers for neurodegenerative diseases because (...
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Chapter and Conference Paper
Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation
Deep learning with convolutional neural networks (CNN) has achieved unprecedented success in segmentation, however it requires large training data, which is expensive to obtain. Active Learning (AL) frameworks...
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Chapter and Conference Paper
Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) based group analysis has helped uncover the impact of white matter injuries in a wide range of studies involving subjects from preterm neonates to adults. The application of thes...
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Chapter and Conference Paper
Identification of Gadolinium Contrast Enhanced Regions in MS Lesions Using Brain Tissue Microstructure Information Obtained from Diffusion and T2 Relaxometry MRI
A multiple sclerosis (MS) lesion at an early stage undergoes active blood brain barrier (BBB) breakdown. Identifying MS lesions in a patient which are undergoing active BBB breakdown is of critical importance ...
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Chapter and Conference Paper
Semi-automated Extraction of Crohns Disease MR Imaging Markers Using a 3D Residual CNN with Distance Prior
We propose a 3D residual convolutional neural network (CNN) algorithm with an integrated distance prior for segmenting the small bowel lumen and wall to enable extraction of pediatric Crohns disease (pCD) imag...
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Article
Open AccessA normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth
Longitudinal characterization of early brain growth in-utero has been limited by a number of challenges in fetal imaging, the rapid change in size, shape and volume of the develo** brain, and the consequent lac...
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Chapter and Conference Paper
Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Map** of Brain Microstructure
Diffusion MRI is a key in-vivo non invasive imaging capability that can probe the microstructure of the brain. However, its limited resolution requires complex voxelwise generative models of the diffusion. Dif...
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Chapter and Conference Paper
Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects
Simultaneous multi-slice (SMS) echo-planar imaging has had a huge impact on the acceleration and routine use of diffusion-weighted MRI (DWI) in neuroimaging studies in particular the human connectome project; ...
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Chapter and Conference Paper
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME)
Non-invasive characterization of water molecule’s mobility variations by quantitative analysis of diffusion-weighted MRI (DW-MRI) signal decay in the abdomen has the potential to serve as a biomarker in gastro...
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Chapter and Conference Paper
Analytic Quantification of Bias and Variance of Coil Sensitivity Profile Estimators for Improved Image Reconstruction in MRI
Magnetic resonance (MR) imaging provides a unique in-vivo capability of visualizing tissue in the human brain non-invasively, which has tremendously improved patient care over the past decades. However, there ...
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Chapter and Conference Paper
A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure
Models of the diffusion-weighted signal are of strong interest for population studies of the brain microstructure. These studies are typically conducted by extracting a scalar property from the model and subje...
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Chapter and Conference Paper
Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models
The development and identification of best methods in fetal brain MRI analysis is crucial as we expect an outburst of studies on groupwise and longitudinal analysis of early brain development in the upcoming y...
