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The hypotheses of the project are
To validate the hypothesis that the new accelerated diffusion MRI technique could produce a new biomarker for HD, patients with Huntington Disease will be recruited. The diffusion index will be calculated using accelerated acquisition. The diagnostic performance will be evaluated for data reconstructed with and without acceleration. The correlation with the disease severity will be assessed.
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Diffusion magnetic resonance imaging has emerged as a sensitive, noninvasive tool for assessing the abnormalities in the central nervous system. Applications have been reported in many neurological disorders. However, because of the motion-sensitizing diffusion gradient and the prolonged diffusion encoding time, clinical practice could be difficult especially in patients with motor disorders such as Huntington Disease. Currently there existed no useful biomarker which could reflect either the disease progression or severity of Huntington disease. There is a growing interest in imaging Huntington disease using diffusion magnetic resonance imaging because of its capability to depict the micro-environmental changes.
Unfortunately the excessive motor abnormality such as chorea yields the acquisition of diffusion magnetic resonance imaging unfeasible in a clinical setting. The diffusion MRI with compressed sensing demonstrated reduced motion sensitivity and improved susceptibility related artifact because of the accelerated acquisition. Because of the reduced acquisition time, diffusion MRI in patient with Huntington Disease would be possible. It is therefore expected that the macromolecule deposition in the brain of patients with HD can lead to detectible changes in diffusion properties. The accelerated diffusion MRI techniques will be used to acquire data from healthy volunteers and patients with Huntington disease. The aim of the study is to develop and optimize a novel accelerated diffusion Magnetic Resonance Imaging (MRI) technique using advanced compressed sensing techniques. The joint sparsity constraint algorithm will be implemented in an in-line reconstruction platform for the diffusion MRI processing.
The second aim is to test the efficiency of the new accelerated diffusion MRI technique from phantom and in healthy human. Finally to validate the hypothesis that the new accelerated diffusion MRI technique could produce a new biomarker for HD, patients with Huntington Disease will be recruited. The diffusion index will be calculated using accelerated acquisition. The diagnostic performance will be evaluated for data reconstructed with and without acceleration. The correlation with the disease severity will be assessed. A risk management report will be concluded at the end of project execution for registration in the department of health. The acceleration diffusion MRI could provide new insight to the etiology of the disease. The in-line image reconstruction platform could be used for pediatric or psychiatric patients who cannot hold still in the scanner for a prolonged period and in patients with movement disorders.
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Inclusion criteria
Huntington Disease
Healthy Controls:
Exclusion criteria
Human Subjects The participants will be divided into 2 groups: Huntington Disease Group and Healthy Control Group. All participants should be aged between 20 and 70 year old, right handed and gender balanced.
Exclusion CriteriaThe following exclusion criteria apply to both groups.
80 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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