Multi-modal neural image data automatic information fusion system

An image data, multimodal technology, applied in the field of neuroscience and medical health, can solve the problem of incomplete application of multimodal neuroimaging, and achieve the effect of convenient automatic data update, reasonable design and clear system structure
CN110598722AActive Publication Date: 2019-12-20TSINGHUA UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
TSINGHUA UNIV
Publication Date
2019-12-20

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Abstract

The invention discloses a multi-modal neural image data automatic information fusion system, which comprises: an original data management module used for storing and managing neural image data collected for a subject and research records; a data conversion module that is used for carrying out desensitization processing and format conversion on the original data; a multi-modal data management module that is used for storing and managing the data converted by the data conversion module; a data preprocessing and feature extraction module that is used for carrying out preprocessing and feature extraction on the data stored in the multi-modal database; an atlas and template data management module that is used for storing and managing atlas and templates; a multi-modal feature data management module that is used for storing and managing feature data; and a grouping or tracking comparison evaluation module that is used for grouping or tracking comparison evaluation of the testees. The systemcan be applied to data analysis and information fusion of multi-modal brain MRI signals, and can realize automatic analysis of data of patients with brain tumors, spinal cord and spinal column injuries and cerebral apoplexy.
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Description

technical field

[0001] The invention relates to the fields of neuroscience and medical health, in particular to a multimodal neuroimage data automatic information fusion system and method. Background technique

[0002] Information fusion of Multimodal data is the process of combining or aggregating information carried by data collected from different sensors.

[0003] Neuroimaging signals are signals obtained by collecting information on the central nervous system (brain and spinal cord), including CT, MRI, EEG, MEG and other signals. These signals are called multimodal neuroimaging signals due to their different collection principles, different collected information, and different signal representations. Multimodal neuroimaging data has been widely used in scientific research and clinical applications in medicine, neuroscience, psychology and other disciplines. However, how to manage these data, how to mine information in these data, how to express feature information, and...

Claims

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