Method for automatically identifying and positioning focal cortex dysplasia epilepsy focus

An automatic identification and dysplasia technology, applied in the field of EEG detection, can solve the problems of long software post-processing, untraceable errors, error accumulation, etc., and achieve the effect of reducing the difficulty of initial use, good surgical benefits, and improved surgical prognosis

Pending Publication Date: 2021-06-08
BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
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Problems solved by technology

[0013] The previous work was semi-automatic. Firstly, the post-processing of the software took a long time. Secondly, there were many steps, which required manual monitoring, operation and quality control, and there was a possibility of accumulation of errors and errors that could not be traced.

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  • Method for automatically identifying and positioning focal cortex dysplasia epilepsy focus

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] see figure 1 , in an embodiment of the present invention, a method for automatically identifying and locating epilepsy foci of focal cortical dysplasia, the method comprising:

[0043] Obtain multi-modal neuroimaging data including MRI and PET; form a large number of labeled data sets through manual annotation; deeply mine multi-modal biomarkers of FCD epilepsy-induced lesions from the perspective of brain structure and brain metabolism; Establish and ...

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Abstract

The invention discloses a method for automatically identifying and positioning focal cortex dysplasia epilepsy focus. The method comprises the following steps: acquiring multi-modal nerve image data including MRI and PET; forming a large number of data sets with labels through manual labeling; from the angles of brain structure, brain metabolism and the like, deeply excavating a multi-modal biomarker of FCD epilepsy; and establishing and training a CNN focus identification segmentation model based on the original features of the multi-modal data for automatic positioning diagnosis of FCD. According to the invention, aiming at the common pathology FCD of the epilepsy surgery, a part of cases are negative in magnetic resonance and cannot be visually distinguished, intelligent identification is carried out aiming at the FCD epileptic focus, the experience dependence of subjective film reading is greatly reduced, the time cost and the labor cost are reduced, and finally, the diagnosis and treatment efficiency of the epileptic focus is improved, and the operation prognosis is improved.

Description

technical field [0001] The invention relates to the technical field of EEG detection, in particular to a method for automatically identifying and locating focal cortical dysplasia epilepsy lesions. Background technique [0002] Epilepsy is a recurrent neurological chronic disease that seriously threatens human health. WHO statistics show that the prevalence of epilepsy is between 5‰ and 11.2‰. There are about 50 million epilepsy patients in the world, and about 9 million epilepsy patients in my country, including 6 million active epilepsy, and about 400,000 new cases every year . About 20-30% of all epilepsy patients are drug-resistant epilepsy, which requires preoperative evaluation and surgical treatment. [0003] From a pathological point of view, malformation of cortical development (MCD) is the most common pathological basis of drug-refractory focal epilepsy. The pathological manifestations of MCD are the migration, layering and structural abnormalities of cerebral co...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06N3/08G06T2207/10088G06T2207/10104G06T2207/20104G06T2207/20081G06T2207/20084G06T2207/30004G06N3/045
Inventor 张凯莫嘉杰胡文瀚张弨王垚王秀刘畅赵宝田郭志浩杨博文李字林
Owner BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
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