Mental disease iconography automatic reporting system and method thereof

A mental illness and reporting system technology, applied in the field of medical information, can solve the problems of increasing the labor intensity of doctors, low diagnostic accuracy, and low diagnostic efficiency, and achieve the effects of improving communication quality, improving efficiency and accuracy, and reducing labor intensity

Pending Publication Date: 2020-02-07
吕粟 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the main purpose of the present invention is to provide a mental disease imaging automatic reporting system and its method, which can solve the problems of low diagnostic efficiency, increased labor intensity of doctors, and low diagnostic accuracy existing in the prior art.

Method used

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  • Mental disease iconography automatic reporting system and method thereof
  • Mental disease iconography automatic reporting system and method thereof
  • Mental disease iconography automatic reporting system and method thereof

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Experimental program
Comparison scheme
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Embodiment 1

[0036] figure 1 It shows a schematic structural diagram of an automatic report system for mental illness imaging according to Embodiment 1 of the present invention; figure 1 As shown, the system includes: data analysis module 10, healthy brain region structural parameter database module 20, data comparison module 30, clinical symptom knowledge base module 40 and report generation module 50, wherein,

[0037] The data analysis module 10 is connected to the data comparison module 30 respectively, and is used to obtain the measurement data of each brain region of the patient from the brain quantitative post-processing system, digitally analyze the measurement data, and send the analyzed measurement data to the data comparison module;

[0038] figure 2 It shows a schematic diagram of data output by the brain quantitative post-processing system in the automatic reporting system for mental illness imaging according to Embodiment 1 of the present invention; image 3 It shows a schem...

Embodiment 2

[0048] Figure 5 It shows a schematic structural diagram of an automatic report system for mental illness imaging according to Embodiment 2 of the present invention; Figure 5 As shown, the report generation module 50 also includes: a labeling unit 502, which is used to mark each abnormal brain region in the preset brain region structure analysis diagram based on the abnormal data and the name of the brain region corresponding to the abnormal data. The method of labeling is as follows: Different colors represent brain regions above the upper limit and below the lower limit, and the annotated brain region structure analysis map is automatically displayed on the interface of the imaging report.

[0049] Figure 6 It shows a schematic diagram of the annotated brain region structure analysis diagram in the mental disease imaging automatic reporting system according to the second embodiment of the present invention; Figure 6 As shown, at this time, we set red to represent the di...

Embodiment 3

[0053] Figure 8 It shows a schematic structural diagram of an automatic report system for mental illness imaging according to Embodiment 3 of the present invention; Figure 8 As shown, the report generation module 50 also includes: a first training unit 504, connected to the healthy brain region structural parameter database module 20, for analyzing the normal data, and when the normal data meets the first preset condition, the normal data is sent Give the healthy brain area structure parameter database module 20. Improve the data information of the healthy brain region structure parameter database module 20.

[0054] The embodiment of the present invention sets the first training unit, which can analyze the normal data, and when the normal data meets the first preset condition, the normal data is sent to the healthy brain region structural parameter database module, so that the healthy brain region structural parameters The database module is continuously iterated and impr...

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Abstract

The invention provides a mental disease iconography automatic reporting system. The system is characterized in that a data analysis module obtains measurement data of each brain area of a patient froma brain quantitative post-processing system and analyzes the measurement data; a data comparison module identifies an age group of the patient, extracts the threshold range of each piece of brain area data of the age group from a healthy brain area structure parameter database module, when the measured data is higher than an upper limit value or lower than a lower limit value, the measured data is abnormal data, and when the measured data is within the threshold range, the measured data is normal data; when the abnormal data is received, a report generation module automatically generates a discovery diagnosis report based on the abnormal data and pathological state data of each abnormal brain area in a clinical symptom knowledge base module; when the normal data is received, a discovery-free diagnostic report is automatically generated. The invention further discloses a mental disease iconography automatic reporting method. The system is advantaged in that diagnosis accuracy of mentaldisease patients can be improved, and labor intensity of doctors is reduced.

Description

technical field [0001] The invention relates to the field of medical information, and more specifically, to an automatic report system and method for mental disease imaging. Background technique [0002] At present, some software for quantitative neuroimaging analysis already exists on the market. These software can generate a set of measurement information, and each set includes specific neural signals and codes for the parts that generate this set of neural signals. After the information is submitted to the doctor, the doctor needs to use image thinking and logical thinking, and combine the physiological significance of each brain region and the role in mental illness, the conformity of clinical manifestations, the severity of the disease, possible treatment options, and prognostic possibility analysis. This method is too dependent on the doctor's logical ability, memory ability and medical experience, which is time-consuming and labor-intensive, which seriously limits th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H15/00
CPCG16H15/00
Inventor 吕粟龚启勇李飞张文静陶博赵又谨
Owner 吕粟
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