CN114420260A - Ultrasonic cardiogram acoustic radiography bull's eye graph structured automatic auxiliary analysis method - Google Patents
Ultrasonic cardiogram acoustic radiography bull's eye graph structured automatic auxiliary analysis method Download PDFInfo
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Abstract
The invention discloses an ultrasonic cardiogram acoustic radiography bull eye graph structuralization automatic auxiliary analysis method which comprises the steps of a, giving segment characteristic information to a bull eye graph, b, combining segments to give local areas and characteristic parameters, c, establishing two grading standards of myocardial perfusion grading and cardiac cavity radiography grading, d, giving grading values of myocardial perfusion grading and cardiac cavity radiography grading to each stage, and e, performing grouping iterative matching on the segments and the grading values to finally output structuralization report data contents. The structured automatic auxiliary analysis method of the echocardiogram acoustic radiography bull eye diagram, which is obtained by the invention, encodes the segment motion evaluation index, realizes the correlation between the graphic content and the structured report content of the bull eye diagram, creates the bull eye diagram simultaneously containing two kinds of examination information, namely myocardial perfusion examination and cardiac cavity acoustic radiography examination, expands the application field of the bull eye diagram, and realizes the more intuitive display of the two kinds of examination results.
Description
Technical Field
The invention relates to a medical information processing method, in particular to an ultrasonic cardiogram acoustic radiography bull's eye graph structuralization automatic auxiliary analysis method.
Background
In order to visually show the heart ventricle wall state in an echocardiogram, the conventional medical report adopts a form of matching a bull's eye diagram with a structured report, wherein the bull's eye diagram divides the heart ventricle wall into a plurality of segments, and marks the segment state by using scores and colors on the bull's eye diagram, however, in the currently provided echocardiogram structured report, the content of the bull's eye diagram and the report are separately manufactured, so that the images and texts are sometimes inconsistent or even contradictory, because the content of the bull's eye diagram and the content of the report can not be manufactured by different people, and the content of the bull's eye diagram or the content of the report can not be synchronously modified.
In addition, the current bull's eye graph is mostly used for judging the motion state of the cardiac muscle, and has no application in the aspects of myocardial perfusion examination and cardiac cavity acoustic contrast examination. The myocardial perfusion examination refers to injecting an acoustic contrast agent into a patient, gradually perfusing the contrast agent into a myocardial capillary vascular bed and a far-end myocardial tissue through heart beating, instantaneously destroying and releasing micro bubbles by using acoustic blasting (Flash) of ultrasonic equipment, and calculating the number of cardiac cycles of the acoustic contrast agent which enters the myocardial tissue imaging through a coronary artery and a far-end small vascular bed again from the moment so as to evaluate the perfusion speed; the heart cavity acoustic contrast examination refers to an examination mode of judging the good and bad functions of the heart through the filling speed aiming at the development and filling process of the ultrasonic contrast agent in the left ventricle, and the bovine eye image is applied to the display of the two examination results because the examination objects, namely the hearts, are consistent, thereby being beneficial to the visual display of the examination results and filling the blank in the technical application.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provide an echocardiography acoustic radiography bull eye graph structurized automatic auxiliary analysis method which can simultaneously show the myocardial perfusion and the cardiac chamber radiography examination results and realize the dynamic linkage of the bull eye graph and a structurized report.
In order to achieve the above object, the present invention provides an echocardiography acoustic contrast bull eye graph structured automatic auxiliary analysis method, which can synchronously output structured report data content when generating a bull eye graph, and comprises the following steps:
a. endowing each segment on the bullseye chart with corresponding segment characteristic information, wherein the segment characteristic information comprises segment names, segment numbers and segment codes; each segment on the bull's eye graph comprises a myocardial segment graph block and a heart cavity segment graph block, wherein the myocardial segment graph block reflects myocardial perfusion contrast scores, and the heart cavity segment graph block reflects heart cavity acoustic contrast scores;
b. combining the segments according to the actual structure of the heart and the medical standard of ultrasonic examination to form a local area with a range larger than that of a single segment, and endowing the local area with an area name based on the segment name and an area code formed by combining the segment codes;
c. establishing a grading standard, wherein the grading standard specifies respective grading values of the myocardial perfusion grading and the cardiac contrast grading and a grading name for describing the meaning of the grading values;
d. c, respectively assigning a myocardial perfusion score value and a cardiac contrast score value to each segment in the step a on a computer by an operator according to the grading scoring standard of the step c;
e. and d, grouping all the segments by the computer according to the scoring values provided by the operator in the step d, and performing iterative matching, wherein the grouping and iterative matching comprise the following steps:
e.1 grouping all segments according to the score value of myocardial perfusion score, dividing the segments with the same myocardial perfusion score into a group, and then iteratively matching:
e.1.1, a group of segments with the same myocardial perfusion score is taken, segment codes of the segments are combined into a coding group, the coding group is matched with the regional codes in the step b, and if the coding group is consistent with the regional codes, at least the regional name corresponding to the matched regional code and the score value of the myocardial perfusion score of the segment corresponding to the coding group are obtained;
e.1.2 if the coding group is matched with the regional code and a consistent result is not obtained, at least obtaining the corresponding segment name and the score value of the myocardial perfusion score of the segment corresponding to the coding group according to the segment code in the coding group;
e.1.3 after matching of the current group, a group of segments with the same myocardial perfusion score is removed and the steps e.1.1 to e.1.3 are repeated until matching of all segments is completed
e.2, grouping all the segments according to the scoring values of the cardiac angiography scoring, dividing the segments with the same cardiac angiography scoring into a group, and then performing iterative matching:
e.2.1, a group of segments with the same cardiac angiography score is taken, segment codes of the segments are combined into a coding group, the coding group is matched with the region codes in the step b, and if the coding group is consistent with the region codes, at least the region name corresponding to the matched region codes and the value of the cardiac angiography score of the segment corresponding to the coding group are obtained;
e.2.2, if the coding group is matched with the regional code and a consistent result is not obtained, at least obtaining the corresponding segment name and the scoring value of the cardiac angiography scoring of the segment corresponding to the coding group according to the segment codes in the coding group;
e.2.3 after completing the matching of the current group, taking down a group of segments with the same myocardial perfusion score and repeating the steps e.2.1 to e.2.3 until completing the matching of all the segments;
f. and outputting the obtained region name or segment name, the score value of the myocardial perfusion score and the cardiac contrast score as records until all the segments and the corresponding score values are matched and traversed, and forming the data content of the structured report.
In order to facilitate the use of operators and adapt to the habits of different operators, the invention also provides a method for synchronously drawing the bullseye chart when modifying the structured newspaper content, which comprises the following steps:
h. step b, endowing conclusion codes corresponding to all the segments and the local regions in a computer, wherein the structured report data content also comprises the conclusion codes, and each score value of the grading score standard in step c also has a corresponding color parameter;
i. in a structured report editing interface, giving the scoring values of the myocardial perfusion score and the cardiac contrast score of the segment or the local area by an operator according to the grading scoring standard of the step c;
j. after the data content of the structured report is edited and changed in the step i, the computer automatically obtains the changed multiple lines of records and performs reverse matching line by line, wherein the reverse matching comprises the following steps:
j.1. obtaining a conclusion code in the current record, and finding a region code or a segment code corresponding to the conclusion code;
j.2. finding the corresponding segment number through the found region code or segment code;
j.3. associating the score values of the myocardial perfusion score and the cardiac angiography score in the current record with the segment numbers;
j.4, repeating the reverse matching operation on the next row of records until the traversal of the multiple rows of records is completed, and finally obtaining the corresponding relation between the score value given in the step i and the segment number of each segment on the bullseye chart;
k. and the computer obtains the corresponding relation between the segment numbers and the color parameters according to the corresponding relation between the segment numbers and the score values and the corresponding relation between the score values and the color parameters, and colors the bull's eye diagram according to the corresponding relation.
To further facilitate the generation of the structured report, after the step f is completed, the method further includes:
g. and establishing a word stock containing description words, enabling the description words to correspond to the area names or the segment names and the scoring values, and filling the corresponding description words into the appointed position of the structured report text by the computer after receiving the data content of the structured report.
In order to make the grading operation more intuitive, the grading standard also comprises a bull's eye picture color parameter corresponding to each grading value; when the operator scores the respective sections of the bull's eye plot in step d, the score value may be given by giving color information.
In order to improve the data processing efficiency, in the grading scoring standard of the step c, the myocardial perfusion score and the cardiac contrast score at least comprise scoring values which mean normal state, undisplayed score and abnormal state and corresponding scoring names, and in the iterative matching of the step e, only the group of which the scoring value means abnormal state is subjected to iterative matching.
The structured automatic auxiliary analysis method of the echocardiogram acoustic radiography bull's eye diagram, which is obtained by the invention, encodes the segment motion evaluation index, realizes the correlation between the graphic content of the bull's eye diagram and the structured report content, and simultaneously realizes the correct expression of the local chamber wall range expressed by the bull's eye diagram by setting the local area and the area code, thereby maximally conforming to the understanding habit of the user and achieving the effects of synchronously modifying the images and texts and accurately corresponding the images and texts; in addition, the invention also creates a bull's eye diagram simultaneously containing two kinds of examination information of myocardial perfusion examination and cardiac cavity acoustic radiography examination, expands the application field of the bull's eye diagram and realizes more visual display of the two kinds of examination results.
Drawings
FIG. 1 is a flow chart of an embodiment 1 of the structural automatic auxiliary analysis method for an echocardiographic and acoustic radiography bull's eye chart;
FIG. 2 is a schematic structural view of a bullseye chart in example 1;
fig. 3 is a flowchart of synchronously rendering a bullseye chart when modifying structured report content in embodiment 1.
In the figure: a cardiac chamber segment 1, and a cardiac muscle segment 2.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention will be made with reference to the accompanying drawings and preferred embodiments.
Example 1:
the structural automatic auxiliary analysis method for the echocardiography acoustics radiography bull's eye diagram described in this embodiment is executed on a computer software system, the operator may be a medical and health worker, and may also be a trained neural network model, as shown in fig. 1, it can synchronously output the data content of the structural report when generating the bull's eye diagram, and includes the following steps:
a. endowing each segment on the bullseye chart with corresponding segment characteristic information, wherein the segment characteristic information comprises segment names, segment numbers and segment codes; each segment on the bull's eye graph comprises a myocardial segment 2 and a heart cavity segment 1, as shown in fig. 2, the myocardial segment 2 reflects a myocardial perfusion angiography score, and the heart cavity segment 1 reflects a heart cavity acoustography score; of the above parameters, segment names and segment numbers are required to comply with existing medical standards, and segment codes may be assigned by an operator or computer software.
b. Combining the segments according to the actual structure of the heart and the medical standard of ultrasonic examination to form a local area with a range larger than that of a single segment, and endowing the local area with an area name based on the segment name and an area code formed by combining the segment codes; the local regions can be designated by the operator through software, for example, the regions in which the anterior fundus interval with the segment number 2, the anterior medial interval with the segment number 8 and the anterior apical interval with the segment number 14 are combined to form the local regions named as the anterior intervals, and the local regions are actually formed according to the bullseye construction principle and the actual structure of the heart as can be seen from the segment names.
c. Establishing a grading standard, wherein the grading standard specifies respective grading values of the myocardial perfusion grading and the cardiac contrast grading and a grading name for describing the meaning of the grading values; in this embodiment, a total of 6 scoring values (scoring values are not necessarily integers) is used for myocardial perfusion examination, a total of 5 scoring values is used for intracavitary acoustic contrast examination, wherein all the scoring values are expressed by 0 and do not show scoring, the scoring values are expressed by 1 and mean normal, and the scoring values except 0 and 1 represent different abnormal states of the heart.
In this embodiment, steps a to c may be implemented by establishing a table in a computer system.
d. C, respectively assigning a myocardial perfusion score value and a cardiac contrast score value to each segment in the step a on a computer by an operator according to the grading scoring standard of the step c;
in the embodiment, in order to facilitate the use of an operator and the processing of data by a computer, before the operator scores, the computer constructs a segment scoring array according to the grading scoring standard and the segment characteristic information provided in the steps a-c, wherein the segment scoring array comprises an N × M myocardial perfusion scoring array and a P × M cardioangiography scoring array, wherein M is the number of segments, N is the number of scores of myocardial perfusion scores, and P is the number of scores of cardioangiography scores, so that the segment scoring array comprises N + P one-dimensional grading scoring arrays, each one-dimensional grading scoring array comprises M marking parameters corresponding to each segment, and the marking parameters of each segment correspond to the segment number corresponding to the segment number; this is because the present embodiment provides two examination forms of myocardial perfusion and cardiac cavity filling acoustic contrast, and two different scores are adopted, so the segment score array is divided into two, in the present embodiment, a 17-segment bullseye chart is adopted, and the myocardial perfusion score array is correspondingly a 6 × 17 multidimensional array; the cardioangiography scoring array corresponds to a 5 x 17 multi-dimensional array, and each scoring value row corresponds to a one-dimensional grading scoring array, so that the two arrays together contain 11 one-dimensional grading scoring arrays.
When the operator assigns the scoring value to the segment, the scoring can be completed by modifying the marking parameters in the segment scoring array, specifically: and finding a one-dimensional grading array corresponding to the grading value given by the operator in the grading array of the segments, finding a marking parameter corresponding to the segment number of the segment graded by the operator in the one-dimensional grading array, and modifying the initial value into a marking value, wherein the segment with the modified marking parameter is the marked segment and comprises the segment number (the position parameter of the array element) and the marking value. In this embodiment, after the operator gives the score values of the myocardial perfusion score and the cardiac contrast score, the corresponding segment score array is found according to the score values and the score categories (i.e., the myocardial perfusion score or the cardiac contrast score), the corresponding one-dimensional grading score array is found according to the score values of the score values, and then the labeling parameters of the corresponding segment in the one-dimensional grading score array are modified.
e. And d, grouping all the segments by the computer according to the scoring values provided by the operator in the step d, and performing iterative matching, wherein the grouping and iterative matching comprise the following steps:
e.1 grouping all segments according to the score value of myocardial perfusion score, dividing the segments with the same myocardial perfusion score into a group, and then iteratively matching:
e.1.1, a group of segments with the same myocardial perfusion score is taken, segment codes of the segments are combined into a coding group, the coding group is matched with the regional codes in the step b, and if the coding group is consistent with the regional codes, at least the regional name corresponding to the matched regional code and the score value of the myocardial perfusion score of the segment corresponding to the coding group are obtained;
e.1.2 if the coding group is matched with the regional code and a consistent result is not obtained, at least obtaining the corresponding segment name and the score value of the myocardial perfusion score of the segment corresponding to the coding group according to the segment code in the coding group;
e.1.3 after completing the matching of the current group, taking down a group of segments with the same myocardial perfusion score and repeating the steps e.1.1 to e.1.3 until completing the matching of all the segments;
e.2, grouping all the segments according to the scoring values of the cardiac angiography scoring, dividing the segments with the same cardiac angiography scoring into a group, and then performing iterative matching:
e.2.1, a group of segments with the same cardiac angiography score is taken, segment codes of the segments are combined into a coding group, the coding group is matched with the region codes in the step b, and if the coding group is consistent with the region codes, at least the region name corresponding to the matched region codes and the value of the cardiac angiography score of the segment corresponding to the coding group are obtained;
e.2.2, if the coding group is matched with the regional code and a consistent result is not obtained, at least obtaining the corresponding segment name and the scoring value of the cardiac angiography scoring of the segment corresponding to the coding group according to the segment codes in the coding group;
e.2.3 after completing the matching of the current group, taking down a group of segments with the same myocardial perfusion score and repeating the steps e.2.1 to e.2.3 until completing the matching of all the segments;
in this embodiment, it is not difficult to find that the steps e.1.1 and e.2.1, and the steps e.1.2 and e.2.2 are the same except for the source of the code set during the execution.
In steps e.1.1 and e.2.1 of this embodiment, a local area comparison table at least including the area name and the area code is established, and the maximum complete matching between the code group and the area code is realized by performing traversal matching between the code group and the area code in the table, taking the local area with the area name of "front wall" as an example, which is mentioned in step b, when the code group includes only the segment codes of three segments, i.e., the anterior cardiac septal with segment number 2, the anterior medial septal with segment number 8, and the anterior cardiac septal with segment number 14, the code group is consistent with the area code, and the area name included in the output record is the "front septal".
The significance of steps e.1.2 and e.2.2 of this embodiment is that the local region is constructed according to the actual structure of the heart and the medical standard of ultrasound examination, and therefore, there are segments represented by the code set scattered in the structure of the heart that does not conform to the definition of the local region, and steps e.1.2 and e.2.2 are performed to indicate the specific segment and its myocardial perfusion examination result and cardiac chamber acoustic contrast examination result.
In this embodiment, since the myocardial perfusion score array is a 6 × 17 multidimensional array, the cardiac contrast score array is a 5 × 17 multidimensional array, and the grouping results of step e.1 and step e.2 are actually equivalent to the respective one-dimensional hierarchical score arrays of the myocardial perfusion score array and the cardiac contrast score array, respectively, for the iterative matching, for this embodiment, the one-dimensional hierarchical score arrays are sequentially extracted from the two multidimensional arrays, and the segment coding, searching, extracting, and matching comparison are performed on the segment whose internal labeling parameter has been modified to the labeling value, of course, the myocardial perfusion score array may also be in a 17 × 6 form, and the cardiac contrast score array may also be in a 17 × 5 form.
f. And outputting the obtained region name or segment name, the score value of the myocardial perfusion score and the cardiac contrast score as records until all the segments and the corresponding score values are matched and traversed, and forming the data content of the structured report.
In this embodiment, the content of the structured report data may be output in the form of a description table in the computer, and the table structure is shown in table 1:
TABLE 1
In order to facilitate the use of operators and adapt to the habits of different operators, the invention also provides a method for synchronously drawing the bullseye chart when modifying the structured newspaper content, as shown in fig. 3, which comprises the following steps:
h. step b, endowing conclusion codes corresponding to all the segments and the local regions in a computer, wherein the structured report data content also comprises the conclusion codes, and each score value of the grading score standard in step c also has a corresponding color parameter; in actual operation, the step and the steps a to c can be repeatedly used only after being specified during initial use;
i. in a structured report editing interface, giving the scoring values of the myocardial perfusion score and the cardiac contrast score of the segment or the local area by an operator according to the grading scoring standard of the step c;
j. in this embodiment, the computer automatically extracts the records of each line change from the structured report data content and the description table corresponding to the change in sequence to perform reverse matching, where the reverse matching includes:
j.1. obtaining a conclusion code in the current record, and finding a region code or a segment code corresponding to the conclusion code; in this example, although the node encoding is used for performing the reverse matching, the method is only for facilitating the forward iterative matching and the reverse matching synchronization operation in step e, actually, since the information in the description table is rich, the segment encoding or the region encoding corresponding to the region name or the segment name in the table may also be used for performing the matching.
j.2. Finding the corresponding segment number through the found region code or segment code; if the found is the region code, the region code is decomposed into a single section code, and if the found is the section code, the corresponding section number is directly found.
j.3. Associating the score values of the myocardial perfusion score and the cardiac angiography score in the current record with the segment numbers; in the implementation, according to the score value of myocardial perfusion score or cardiac angiography score, finding a corresponding one-dimensional grading score array from the corresponding myocardial perfusion score array and cardiac angiography score array, and modifying the marking parameters of the corresponding elements in the one-dimensional grading score array into marking values according to the found segment numbers;
j.4, repeating the reverse matching operation on the next row of records until the traversal of the multiple rows of records is completed, and finally obtaining the corresponding relation between the score value given in the step i and the segment number of each segment on the bullseye chart;
k. the computer obtains the corresponding relation between the segment numbers and the color parameters according to the corresponding relation between the segment numbers and the score values and the corresponding relation between the score values and the color parameters, and colors the bull's eye chart according to the corresponding relation; the coloring is to find out the corresponding segment on the bull's eye graph according to the segment number from the segment score array, then find out the corresponding bull's eye graph color parameter according to the score value corresponding to the mark corresponding to the segment number, so as to automatically color the bull's eye graph, specifically, according to the embodiment, the corresponding relation between the segment number and the color parameter is extracted from the myocardial perfusion score array, and the myocardial segment block 2 in the corresponding segment in the bull's eye graph is colored according to the color parameter; and extracting the corresponding relation between the segment number and the color parameter from the cardiac angiography scoring array, and coloring the cardiac cavity segment block 1 in the corresponding segment in the bull's eye diagram according to the color parameter.
In order to further facilitate the generation of the structured report, after the generation of the description coding comparison table in the step f is completed, the method further includes:
g. establishing a word stock containing description words, enabling the description words to correspond to the area names or the segment names and the scoring values, and filling the corresponding description words in the appointed position of the structured report text by a computer after receiving the data content of the structured report; when the region names, the segment names and the scoring names are all medical terms, the description vocabulary can be the combination of the region names or the segment names and the scoring names expressing the meaning of the scoring values directly, and a better expression effect can be achieved by adding punctuations, slashes or spaces.
In order to make the grading operation more intuitive, the grading standard also comprises a bull's eye picture color parameter corresponding to each grading value; when the operator scores each section of the bull's eye graph in the step d, the scores of the myocardial perfusion score and the cardiac angiography score can be given by giving color information; in actual operation, the bullseye chart corresponding to two different scores is displayed on an operation interface, and the scoring of each segment of the bullseye chart is realized in a mode that a segment is selected by a computer and the corresponding color is selected.
The structured automatic auxiliary analysis method for the echocardiogram acoustic radiography bull's eye graph provided by the embodiment is used for coding segment motion evaluation indexes, realizing the correlation between the graph content of the bull's eye graph and the structured report content, simultaneously realizing the correct expression of the local wall range expressed by the bull's eye graph by setting local areas and area codes, maximally conforming to the understanding habit of a user, and achieving the effects of synchronously modifying pictures and texts and accurately corresponding the pictures and texts; in addition, the invention also creates a bull's eye diagram simultaneously containing two kinds of examination information of myocardial perfusion examination and cardiac cavity acoustic radiography examination, expands the application field of the bull's eye diagram and realizes more visual display of the two kinds of examination results.
In order to improve the data processing efficiency, in the grading scoring standard of the step c, the myocardial perfusion score and the cardiac contrast score at least comprise score values which mean normal state, undisplayed score and abnormal state and corresponding score names, and in the iterative matching of the step e, only the group of which the score value means abnormal state is subjected to iterative matching; it should be noted that, no matter the myocardial perfusion score or the cardiac contrast score, the number of score values of the abnormal state class may be multiple, because in an actual medical scene, the abnormal state of the heart is various, and therefore, according to the medical practice, multiple score values each representing the abnormal state are given in the grading score standard, and the score value meeting the requirement is already given in step c of the present embodiment.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. An echocardiography acoustics radiography bull eye graph structurization automatic auxiliary analysis method is characterized in that structured report data content can be synchronously output when generating a bull eye graph, and the method comprises the following steps:
a. endowing each segment on the bullseye chart with corresponding segment characteristic information, wherein the segment characteristic information comprises segment names, segment numbers and segment codes; each segment on the bull's eye graph comprises a myocardial segment graph block (2) and a heart cavity segment graph block (1), wherein the myocardial segment graph block (2) reflects a myocardial perfusion contrast score, and the heart cavity segment graph block (1) reflects a heart cavity acoustic contrast score;
b. combining the segments according to the actual structure of the heart and the medical standard of ultrasonic examination to form a local area with a range larger than that of a single segment, and endowing the local area with an area name based on the segment name and an area code formed by combining the segment codes;
c. establishing a grading standard, wherein the grading standard specifies respective grading values of the myocardial perfusion grading and the cardiac contrast grading and a grading name for describing the meaning of the grading values;
d. c, respectively assigning a myocardial perfusion score value and a cardiac contrast score value to each segment in the step a on a computer by an operator according to the grading scoring standard of the step c;
e. d, grouping all the segments by the computer according to the score values provided by the operator in the step d, and performing iterative matching, wherein the grouping and the iterative matching comprise;
e.1 grouping all segments according to the score values of the myocardial perfusion scores, dividing the segments with the same score value of the myocardial perfusion scores into a group, and then carrying out iterative matching:
e.1.1, a group of segments with the same myocardial perfusion score are taken, segment codes of the segments are combined into a coding group, the coding group is matched with the regional codes in the step b, and if the coding group is consistent with the regional codes, at least the regional name corresponding to the matched regional code and the myocardial perfusion score of the segment corresponding to the coding group are obtained;
e.1.2 if the coding group is matched with the regional code and a consistent result is not obtained, at least obtaining the corresponding segment name and the score value of the myocardial perfusion score of the segment corresponding to the coding group according to the segment code in the coding group;
e.1.3 after matching of the current group, a group of segments with the same myocardial perfusion score is removed and the steps e.1.1 to e.1.3 are repeated until matching of all segments is completed
e.2, grouping all the segments according to the scoring values of the cardiac angiography scoring, dividing the segments with the same scoring values of the cardiac angiography scoring into a group, and then performing iterative matching:
e.2.1, a group of segments with the same value of the cardiac contrast score are taken, segment codes of the segments are combined into a code group, the code group is matched with the regional codes in the step b, and if the code group is consistent with the regional codes, at least the regional name corresponding to the matched regional code and the value of the cardiac contrast score of the segment corresponding to the code group are obtained;
e.2.2, if the coding group is matched with the regional code and a consistent result is not obtained, at least obtaining the corresponding segment name and the scoring value of the cardiac angiography scoring of the segment corresponding to the coding group according to the segment codes in the coding group;
e.2.3 after completing the matching of the current group, taking down a group of segments with the same myocardial perfusion score and repeating the steps e.2.1 to e.2.3 until completing the matching of all the segments;
f. and outputting the obtained region name or segment name, the score of the myocardial perfusion score and the score of the cardiac contrast score as records until all the segments and the corresponding scores are matched and traversed, and forming the data content of the structured report.
2. The structural automated aided analysis method of echocardiographic acoustics contrast bull's eye graph according to claim 1, further comprising the step of synchronously rendering the bull's eye graph while modifying the structured report, comprising:
h. step b, endowing conclusion codes corresponding to all the segments and the local regions in a computer, wherein the structured report data content also comprises the conclusion codes, and each score value of the grading score standard in step c also has a corresponding color parameter;
i. in a structured report editing interface, giving the scoring values of the myocardial perfusion score and the cardiac contrast score of the segment or the local area by an operator according to the grading scoring standard of the step c;
j. after the data content of the structured report is edited and changed in the step i, the computer automatically obtains the changed multiple lines of records and performs reverse matching line by line, wherein the reverse matching comprises the following steps:
j.1. obtaining a conclusion code in the current record, and finding a region code or a segment code corresponding to the conclusion code;
j.2. finding the corresponding segment number through the found region code or segment code;
j.3. associating the score value of the myocardial perfusion score and the score value of the cardiac angiography score in the current record with the segment number;
j.4, repeating the reverse matching operation on the next row of records until the traversal of the multiple rows of records is completed, and finally obtaining the corresponding relation between the score value given in the step i and the segment number of each segment on the bullseye chart;
k. and the computer obtains the corresponding relation between the segment numbers and the color parameters according to the corresponding relation between the segment numbers and the score values and the corresponding relation between the score values and the color parameters, and colors the bull's eye diagram according to the corresponding relation.
3. The method for structured automated aided analysis of echocardiographic acoustics contrast bull's eye images according to claim 1 or 2, further comprising, after step f:
g. and establishing a word stock containing description words, enabling the description words to correspond to the area names or the segment names and the scoring values, and filling the corresponding description words into the appointed position of the structured report text by the computer after receiving the data content of the structured report.
4. The structural automated aided analysis method of echocardiographic acoustics contrast bull's eye images according to claim 1 or 2, wherein the grading scoring criteria further comprises a bull's eye image color parameter corresponding to each scoring value; when the operator scores the respective sections of the bull's eye plot in step d, the score value may be given by giving color information.
5. The structural automatic auxiliary analysis method for echocardiography acoustic contrast bull's eye images according to claim 1 or 2, wherein in the grading scoring criteria of step c, the myocardial perfusion score and the cardiac contrast score both include at least scoring values and corresponding scoring names that mean normal status, undisplayed score and abnormal status, and in the iterative matching of step e, only the group whose scoring value means abnormal status is iteratively matched.
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