Research On The Analysis Method Of Basal Ganglia Motion Loop For Parkinson's Disease

With the acceleration of aging process of population in China,Parkinson's disease(PD),which mostly strikes elders,along with other neurodegenerative diseases,has brought a heavy burden to the patient's family and society due to the imperfection of the treatment.Therefore,the research on the diagnosis and analysis methods of Parkinson's disease is of essential significance in clinic.In recent years,the basal ganglia motor loop has been confirmed to be closely related to PD dyskinesia.However,the mechanism of PD on this loop is still unclear,and the research on the pathological abnormalities of the basal ganglia loop is more established in building disease model which is based on animals like mice,carrying forward in the form of experiments.The lack of a unified and detailed brain imaging-based analysis method makes the brain regions of the basal ganglia motor loop,which is most likely to help to provide stable and effective pathological features for PD diagnosis,unable to perform its due role.Out of the consideration of limitation of current research methods of basal ganglia motion loop,we propose a analysis method for PD,which is based on the image of basal ganglia motion loop.This paper starts with the segmentation and extraction of the basal ganglia motion loop of images of Magnetic Resonance Imaging(MRI),and establishes an MRI-based segmentation method for basal ganglia motion loop,which can accurately segment the brain regions of the basal ganglia motion loop and extract volume parameter.On this basis,considering the difference of different sub-regions in a single brain region,this paper proposes an MRI-based algorithm of striatum anterior-posterior sub-regional to achieve further refinement of the striatum region in the basal ganglia motion loop,improving the ability to accurately locate PD lesions.Due to the high specificity of dopamine metabolism in the process of PD,the Positron Emission Tomography(PET)method using 18FFP-FTBZ as a biomarker become a more effective tool in the quantitative analysis of PD.Therefore,a PET-based basal ganglia motion loop analysis method is needful.In this paper,the preprocessing workflow applied to PET images is established,which makes up for the defects of being susceptible to unrelated signal interference during the processing of low-resolution PET image,and provides important guarantee for the accuracy of registration and segmentation of PET images.Furthermore,a PET-based automatic segmentation technique for striatum is proposed to achieve direct and accurate automatic segmentation on PET images,which avoids the limitations of relying on manual labeling or the references of magnetic resonance image,and greatly reduces the degree of complexity when it comes to the actual application of PET in clinically diagnosis and studies of disease mechanisms.In this paper,the methods of extracting and quantitatively analyzing the basal ganglia motion loop in MRI and PET medical images are studied.The definition and recognition of the sub-region of the basal ganglia motion loop were completed on the MRI image,quantitative analysis of biomarkers by combined PET imaging can extract parameters such as Standardized Uptake Value Ratio(SUVR)and participate in quantitative analysis of quantitative indicators,which solves the traditional basal ganglia motion loop analysis method that relies on manual labeling and cannot be quantified.The defects fully demonstrate the unique advantages of the PET-based basal ganglia motion loop analysis method,which lays a solid technical foundation for the accurate analysis of brain imaging-based neurodegenerative diseases.