CN113057666B - Cerebral apoplexy early-stage image evaluation system and method - Google Patents
Cerebral apoplexy early-stage image evaluation system and method Download PDFInfo
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- CN113057666B CN113057666B CN202110294164.XA CN202110294164A CN113057666B CN 113057666 B CN113057666 B CN 113057666B CN 202110294164 A CN202110294164 A CN 202110294164A CN 113057666 B CN113057666 B CN 113057666B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/032—Transmission computed tomography [CT]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/50—Clinical applications
- A61B6/501—Clinical applications involving diagnosis of head, e.g. neuroimaging, craniography
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
Abstract
The invention discloses a cerebral apoplexy early-stage image evaluation system and a cerebral blood supply region template image evaluation method, which are used for storing more than two cerebral blood supply region template images, wherein the cerebral blood supply region template images can be decomposed into a mean template image and a standard deviation template image; during pretreatment, preserving brain parenchymal tissues in the flat scanning CT image; performing silhouette calculation on the brain blood supply region template image and the preprocessed flat scan CT image to obtain a difference image, and comparing the difference image with the standard deviation template image; blood supply area assessment module: scoring the image condition of the blood supply region segment in the flat scan CT image according to the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image; comprehensive scoring: the grading of blood supply area segments and the comprehensive grading of the multiple physiological index data levels of human bodies are carried out. According to the invention, the risk of cerebral apoplexy and even the severity of cerebral apoplexy can be accurately estimated by grading the difference level of the pixel values of the comparison of the estimated image and the template image and grading the data level of multiple physiological indexes of human bodies.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to auxiliary equipment for medical treatment in cerebral apoplexy.
Background
"cerebral stroke" (also known as "stroke", "cerebrovascular accident" (cerebralvascular accident, CVA)) is an acute cerebrovascular disease, which is a group of diseases that cause damage to brain tissue due to sudden rupture of cerebral vessels or failure of blood to flow into the brain due to vessel occlusion, including ischemic and hemorrhagic strokes. The cerebral apoplexy has the characteristics of high morbidity, high mortality and high disability rate. Prevention is currently considered the best measure because of the continued lack of effective treatment. Early diagnosis, early treatment, early recovery and early prevention recurrence are all effective approaches to avoid/reduce stroke damage. However, the prior art is time-consuming and laborious and does not evaluate the actual condition of the cerebral stroke accurately enough.
Disclosure of Invention
The invention aims to provide a cerebral apoplexy early-stage image evaluation system and method, which are used for accurately evaluating the actual condition of cerebral apoplexy and providing a technical basis for effectively carrying out early diagnosis, early treatment, early rehabilitation and early prevention recurrence.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an early cerebral apoplexy image evaluation system,
comprising the following steps:
and a storage module: storing more than two brain blood supply area template images, wherein the brain blood supply area template images comprise corresponding age ranges, shooting parameters and brain blood supply area template images with different basic diseases;
the brain blood supply area template image is obtained by importing brain blood supply area images with different age ranges, shooting parameters and basic diseases, carrying out pixel analysis, calculating the mean value and variance of pixel values of pixel points at corresponding positions, and then defining the mean value and variance to corresponding pixel points on a standard image to obtain the brain blood supply area template image, wherein the brain blood supply area template image can be decomposed into a mean value template image and a standard deviation template image;
and a pretreatment module: removing skull in the flat scan CT image, and reserving brain parenchyma tissue;
and an image analysis module: comparing the brain blood supply area template image with the preprocessed flat scan CT image, identifying a blood supply area in the flat scan CT image, automatically acquiring the position of the blood supply area in the brain according to a corresponding brain map, performing silhouette calculation on the brain blood supply area template image and the preprocessed flat scan CT image to obtain a difference image, and comparing the difference image with the standard deviation template image;
blood supply area assessment module: scoring the image condition of the blood supply region segment in the flat scan CT image according to the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image;
comprehensive scoring: the scores of the blood supply area segments are comprehensively scored.
Further, the method comprises the steps of,
the comprehensive score also comprises a plurality of human body physiological index data scores, wherein the physiological indexes comprise blood pressure, blood sugar, blood fat and body temperature.
An evaluation method using a cerebral apoplexy early-stage image evaluation system, comprising the steps of:
the first step: removing skull in the flat scan CT image, and reserving brain parenchyma tissue;
and a second step of: comparing the brain blood supply area template image with the preprocessed flat scan CT image, identifying a blood supply area in the flat scan CT image, automatically acquiring the position of the blood supply area in the brain according to a corresponding brain map, performing silhouette calculation on the brain blood supply area template image and the preprocessed flat scan CT image to obtain a difference image, and comparing the difference image with the standard deviation template image;
and a third step of: according to the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image, when the absolute value of the pixel value exceeds 1-3 times of the pixel value of the corresponding pixel point of the standard deviation template image, grading the image condition of the blood supply area segment in the flat scanning CT image into three grades;
fourth step: the scores of the blood supply area segments are comprehensively scored.
Preferably, the method comprises the steps of,
and scoring the image condition of the blood supply region segment in the flat scan CT image, wherein the scoring rule is the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image, and when the absolute value of the pixel value exceeds 1-3 times of the pixel value of the corresponding pixel point of the standard deviation template image, the image condition of the blood supply region segment in the flat scan CT image is scored in three grades.
Preferably, the method comprises the steps of,
the fourth step further comprises grading the multiple physiological index data of the human body, wherein grading is carried out on the multiple physiological index data of the human body according to whether the multiple physiological index data of the human body is in a normal index range, one grade is lower than the normal index range, one grade is in the normal index range, and one grade is higher than the normal index range.
The advantages of the invention include:
(1) The difference of the evaluation image can be known by comparing the image to be evaluated with the template image;
(2) By grading the difference level of the pixel values of the comparison of the evaluation image and the template image and grading the data level of multiple physiological indexes of the human body, the risk of cerebral apoplexy and even the severity of cerebral apoplexy can be accurately evaluated.
Detailed Description
The present invention will be described in detail with reference to specific examples, which are given herein for illustrative purposes and illustration of the present invention, but are not to be construed as limiting the invention.
A stroke early image evaluation system, comprising:
and a storage module: storing more than two brain blood supply area template images, wherein the brain blood supply area template images comprise corresponding age ranges, shooting parameters and brain blood supply area template images with different basic diseases;
the brain blood supply area template image is obtained by importing brain blood supply area images with different age ranges, shooting parameters and basic diseases, carrying out pixel analysis, calculating the mean value and variance of pixel values of pixel points at corresponding positions, and then defining the mean value and variance to corresponding pixel points on a standard image to obtain the brain blood supply area template image, wherein the brain blood supply area template image can be decomposed into a mean value template image and a standard deviation template image;
and a pretreatment module: removing skull in the flat scan CT image, and reserving brain parenchyma tissue;
and an image analysis module: comparing the brain blood supply area template image with the preprocessed flat scan CT image, identifying a blood supply area in the flat scan CT image, automatically acquiring the position of the blood supply area in the brain according to a corresponding brain map, performing silhouette calculation on the brain blood supply area template image and the preprocessed flat scan CT image to obtain a difference image, and comparing the difference image with the standard deviation template image;
blood supply area assessment module: scoring the image condition of the blood supply region segment in the flat scan CT image according to the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image;
comprehensive scoring: grading the blood supply area segments and comprehensively grading the grading of the human body multiple physiological index data;
and scoring the image condition of the blood supply area segment in the flat scan CT image.
The physiological indexes comprise blood pressure, blood sugar, blood fat and body temperature.
An evaluation method using a cerebral apoplexy early-stage image evaluation system, comprising the steps of:
the first step: removing skull in the flat scan CT image, and reserving brain parenchyma tissue;
and a second step of: comparing the brain blood supply area template image with the preprocessed flat scan CT image, identifying a blood supply area in the flat scan CT image, automatically acquiring the position of the blood supply area in the brain according to a corresponding brain map, performing silhouette calculation on the brain blood supply area template image and the preprocessed flat scan CT image to obtain a difference image, and comparing the difference image with the standard deviation template image;
and a third step of: according to the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image, when the absolute value of the pixel value exceeds 1-3 times of the pixel value of the corresponding pixel point of the standard deviation template image, grading the image condition of the blood supply area segment in the flat scanning CT image into three grades;
fourth step: grading the blood supply area segments and grading the human body multiple physiological index data, and comprehensively grading. The scoring rule is a pixel value of a pixel point obtained by comparing the difference image with the standard deviation template image, and when the absolute value of the scoring rule exceeds 1-3 times of the pixel value of the pixel point corresponding to the standard deviation template image, the image condition of the blood supply region segment in the flat scan CT image is scored in three grades, and the human body multi-physiological index data scoring rule is that whether the grading rule is graded in a normal index range or not, one grade is lower than the normal index range, one grade is in the normal index range, and one grade is higher than the normal index range.
The foregoing has described in detail the technical solutions provided by the embodiments of the present invention, and specific examples have been applied to illustrate the principles and implementations of the embodiments of the present invention, where the above description of the embodiments is only suitable for helping to understand the principles of the embodiments of the present invention; meanwhile, as for those skilled in the art, according to the embodiments of the present invention, there are variations in the specific embodiments and the application scope, and the present description should not be construed as limiting the present invention.
Claims (2)
1. An early cerebral stroke image evaluation system, characterized in that:
comprising the following steps:
and a storage module: storing more than two brain blood supply area template images, wherein the brain blood supply area template images comprise corresponding age ranges, shooting parameters and brain blood supply area template images with different basic diseases;
the brain blood supply area template image is obtained by importing brain blood supply area images with different age ranges, shooting parameters and basic diseases, carrying out pixel analysis, calculating the mean value and variance of pixel values of pixel points at corresponding positions, and then defining the mean value and variance to corresponding pixel points on a standard image to obtain the brain blood supply area template image, wherein the brain blood supply area template image can be decomposed into a mean value template image and a standard deviation template image;
and a pretreatment module: removing skull in the flat scan CT image, and reserving brain parenchyma tissue;
and an image analysis module: comparing the brain blood supply area template image with the preprocessed flat scan CT image, identifying a blood supply area in the flat scan CT image, automatically acquiring the position of the blood supply area in the brain according to a corresponding brain map, performing silhouette calculation on the brain blood supply area template image and the preprocessed flat scan CT image to obtain a difference image, and comparing the difference image with the standard deviation template image;
blood supply area assessment module: scoring the image condition of the blood supply region segment in the flat scan CT image according to the pixel value of the pixel point obtained by comparing the difference image with the standard deviation template image;
comprehensive scoring: the scores of the blood supply area segments are comprehensively scored.
2. The stroke early image evaluation system as recited in claim 1, wherein:
the comprehensive score also comprises a plurality of human body physiological index data scores, wherein the physiological indexes comprise blood pressure, blood sugar, blood fat and body temperature.
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