Publications by authors named "Philipp G Arnold"
Article Synopsis
- The study aimed to assess different MRI techniques for distinguishing between various neurodegenerative Parkinson syndromes (NPS) like Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy.
- Researchers analyzed macrostructural and microstructural MRI data from patients with NPS and healthy controls, using machine learning to compare their diagnostic performances.
- The results indicated that combining macrostructural and microstructural MRI provided the best classification accuracy, highlighting the added value of advanced imaging techniques over traditional methods.
Background And Purpose: To develop a fully automatic algorithm for the magnetic resonance imaging (MRI) identification of patients with spontaneous intracranial hypotension (SIH).
Material And Methods: A support vector machine (SVM) was trained with structured reports of 140 patients with clinically suspected SIH. Venous sinuses and basal cisterns were segmented on contrast-enhanced T1-weighted MPRAGE (Magnetization Prepared-Rapid Gradient Echo) sequences using a convolutional neural network (CNN).
Cerebral aneurysms are a major risk factor for intracranial bleeding with devastating consequences for the patient. One recently established treatment is the implantation of flow-diverters (FD). Methods to predict their treatment success before or directly after implantation are not well investigated yet.
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