Multimodal-medical-image-based auxiliary diagnosis system and method for Parkinson's disease

Abstract

The invention discloses a multimodal-medical-image-based auxiliary diagnosis system and method for the Parkinson's disease. The system is composed of an input module, a feature extraction module, a feature fusion module, and a diagnosis module. In addition, the method includes: after an ultrasonic image, an MRI image and a PET image are obtained, feature extraction is carried out on the data of three channels by using different methods, and feature fusion is carried out on the extracted features by using different fusion methods; the diagnostic module processes the features of three modes by means of integrated learning to obtain a diagnosis result, so that an auxiliary reference is provided for the diagnosis by the doctor. For the exiting early-stage diagnosis of the Parkinson's disease,the multimodal data are analyzed quantitatively, so that the system and method have the important significance in the early diagnosis of the Parkinson's disease; and the accuracy of diagnosis is improved and the subjective determination error of the operator is reduced. Moreover, the early clinical intervention is realized and thus the post-stage disability is reduced, so that a certain auxiliaryguidance effect is realized.

Description

technical field [0001] The invention relates to the application field of computer analysis technology based on medical images, in particular to a system and method for auxiliary diagnosis of Parkinson's disease based on multimodal medical images. Background technique [0002] Parkinson's disease (PD), also known as Parkinson's paralysis, is a common neurodegenerative disease in middle-aged and elderly people. The main pathological change of Parkinson's disease is the degeneration and death of dopamine (DA) neurons in the substantia nigra of the midbrain, which leads to a significant decrease in the content of DA in the striatum. , Resting tremor and postural balance disorder asymmetric motor symptoms are the main manifestations. At present, the diagnosis of Parkinson's disease is still mainly based on its clinical core symptoms. However, these core symptoms are not unique to Parkinson's disease, and it is difficult to make a diagnosis based on medical history and clinical m...

AI Technical Summary

Problems solved by technology

At present, the diagnosis of Parkinson's disease is still mainly based on its clinical core symptoms. However, these core symptoms are not all of Parkinson's disease, and it is difficult to diagnose only based on medical history and clinical manifestations. Therefore, it is especially necessary to develop a method for early diagnosis of Parkinson's disease.

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