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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
Morphological Features of Language Regions in Individuals with Tuberous Sclerosis Complex
A significant number of individuals with tuberous sclerosis complex (TSC) exhibit language difficulties. Here, we examined the language-related brain morphometry in 59 participants (7 participants with TSC and...
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Article
Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating
In infant abuse investigations, dating of skeletal injuries from radiographs is desirable to reach a clear timeline of traumatic events. Prior studies have used infant birth-related clavicle fractures as a sur...
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Chapter and Conference Paper
Automatic Framework for Patient-Specific Biomechanical Computations of Organ Deformation: An Epilepsy (EEG) Case Study
Our motivation is to enable non-specialists to use sophisticated biomechanical models in the clinic. To further this goal, in this study, we constructed a framework within 3D Slicer for automatically generatin...
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Article
Free-breathing radial stack-of-stars three-dimensional Dixon gradient echo sequence in abdominal magnetic resonance imaging in sedated pediatric patients
There is a strong need for improvements in motion robust T1-weighted abdominal imaging sequences in children to enable high-quality, free-breathing imaging.
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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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Chapter and Conference Paper
MRI Super-Resolution Through Generative Degradation Learning
Spatial resolution plays a critically important role in MRI for the precise delineation of the imaged tissues. Unfortunately, acquisitions with high spatial resolution require increased imaging time, which inc...
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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
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
Current methods to estimate glomerular filtration rate (GFR) have shortcomings. Estimates based on serum creatinine are known to be inaccurate in the chronically ill and during acute changes in renal function....
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Chapter and Conference Paper
Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction
In MRI practice, it is inevitable to appropriately balance between image resolution, signal-to-noise ratio (SNR), and scan time. It has been shown that super-resolution reconstruction (SRR) is effective to ach...
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Chapter and Conference Paper
A Flux-Conservative Finite Difference Scheme for Anisotropic Bioelectric Problems
We present a flux-conservative finite difference (FCFD) scheme for solving inhomogeneous anisotropic bioelectric problems. The method applies directly on the raw medical image data without the need for sophist...
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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
Motion-corrected foetal cardiac MRI
Applying motion correction to standard foetal magnetic resonance imaging via image-registration techniques improves the diagnostic evaluation of cardiovascular structures in foetuses.
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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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Chapter
Biomechanical Modelling of the Brain for Neuronavigation in Epilepsy Surgery
Epilepsy is a chronic neurological disorder that affects over 70 million people, costs over $50 billion annually, and first arises during childhood for 75% of patients. Surgical intervention can be curative bu...
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Chapter and Conference Paper
Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results
We present a summary of competition results in the multi-shell diffusion and challenge (MUSHAC). MUSHAC is an open competition intended to stimulate the development of computational methods that reduce s...
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Chapter and Conference Paper
Isotropic MRI Super-Resolution Reconstruction with Multi-scale Gradient Field Prior
In this work, we proposed a novel image-based MRI super-resolution reconstruction (SRR) approach based on anisotropic acquisition schemes. We achieved superior reconstruction to state-of-the-art work by intro...
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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...
