Distortion correction of high b-valued and high angular resolution diffusion images using iterative simulated images

Nam, Haewon

doi:10.1016/j.neuroimage.2011.05.018

Cited by 24 publications

(28 citation statements)

References 40 publications

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“…Image volumes affected by within-volume movement were detected using the discontinuity index 168 and excluded from further analysis. Image distortions caused by susceptibility inhomogeneities were reduced using the field map, using tools available with FMRIB's Software Library (FSL 169 ).…”

Section: Diffusion Processingmentioning

confidence: 99%

“…Head movement within diffusion-weighted image volumes were identified using the discontinuity index 168 and movement between volumes was corrected using the Fit Model to All Measurements 175 was used to identify and replace motion artefacts. The fibre orientation distribution (FOD) was estimated in the corrected diffusion data using the constrained spherical deconvolution (CSD) method within the MRtrix package (https://github.com/jdtournier/mrtrix3).…”

Section: Diffusion Processingmentioning

confidence: 99%

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Investigating neural connectivity of corticomotor networks in ataxia telangiectasia: improving our understanding of the clinical phenotype

Sahama¹

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The human genetic disorder ataxia-telangiectasia (A-T) is an autosomal recessive neurodegenerative condition occurring in 3 per million live births. The disease is characterised by neurodegeneration, immunodeficiency, radiosensitivity, cell cycle checkpoint defects, genomic instability and cancer predisposition among patients. The most debilitating aspect of the disease is progressive cerebellar ataxia, which represents the hallmark neuropathological condition of A-T.At present, long term therapy to cure or prevent progressive symptoms of A-T are not currently available. While short term treatment to alleviate symptoms associated with immunodeficiency and deficient lung function are available to patients, the predisposition to cancer and the progressive neurodegeneration associated with A-T cannot be prevented with such efforts. To gain a more informed understanding of the A-T condition, research has focused on clinical, genetic and immunological aspects of the disorder; however, minimal attention has been directed towards identifying altered brain structure and function using imaging modalities such as magnetic resonance imaging (MRI).Imaging studies in A-T are limited to structural MRI imaging, where various radiological anomalies in patients are reported as clinical case studies. While these studies provide a detailed focus on the morphological and histopathological conditions of A-T, they provide limited insight into the mechanisms of neurodegeneration and loss of neural motor network connectivity among patients. In other ataxic diseases such as Friedrich's ataxia and spinocerebellar ataxia, the use of high-resolution MRI and diffusion-weighted imaging (DWI) has given valuable insight into the microstructural tissue environment, and the loss of white matter integrity of motor networks due to abnormal neurodevelopmental and/or progressive neurodegenerative conditions associated with the disease.Such imaging approaches have not yet been extended to the study of A-T, and could provide important new information regarding the relationship between the ataxia-telangiectasia gene mutation (ATM) and loss of motor pathway integrity in A-T patients. ivThe key objective of this PhD programme was to investigate white matter integrity and grey matter volume changes associated with A-T using a combination of structural MRI and diffusion-weighted imaging, to pinpoint potential neurodegenerative biomarkers that can be targeted for therapeutic use among young A-T patients. Performing diffusion imaging in children with A-T presents a significant challenge, as spontaneous movement at resting positions form part of the A-T condition, and nonsedated imaging procedures will contribute to excessive motion artefact and limited image quality in diffusion-weighted images. To effectively detect and correct for motion artefacts, a series of data preprocessing and correction steps were introduced to the DWI processing pipeline of A-T images in this project. Whole brain imaging analysis, specifically voxel-based morphometry (based...

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Section: Diffusion Processingmentioning

confidence: 99%

Section: Diffusion Processingmentioning

confidence: 99%

Investigating neural connectivity of corticomotor networks in ataxia telangiectasia: improving our understanding of the clinical phenotype

Sahama¹

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“…Image volumes impacted by within-volume movement were detected using the discontinuity index 118 and excluded from further analysis.…”

Section: Diffusion Preprocessingmentioning

confidence: 99%

“…within volumes) using the discontinuity index 118 function from all children with typical development and an equal number of children with CP (selected using a random number generator). Fibre tracking was also performed using MRtrix.…”

Section: Diffusion Preprocessing and Tractographymentioning

confidence: 99%

Motor, sensory and executive function brain networks in children with unilateral cerebral palsy

Scheck¹

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“…Alruwaili thesis 2016 b) Misalignment of the odd and even sub-volumes was detected using the discontinuity index (Nam and Park 2011). Affected volumes were removed from further analysis.…”

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confidence: 99%

Measuring the progression of upper motor neuron disease using diffusion MRI and its correlation with Clinical phenotype

Alruwaili¹

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Distortion correction of high b-valued and high angular resolution diffusion images using iterative simulated images

Cited by 24 publications

References 40 publications

Investigating neural connectivity of corticomotor networks in ataxia telangiectasia: improving our understanding of the clinical phenotype

Investigating neural connectivity of corticomotor networks in ataxia telangiectasia: improving our understanding of the clinical phenotype

Motor, sensory and executive function brain networks in children with unilateral cerebral palsy

Measuring the progression of upper motor neuron disease using diffusion MRI and its correlation with Clinical phenotype

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