CN107273657A - The generation method and storage device of diagnostic imaging picture and text report - Google Patents
The generation method and storage device of diagnostic imaging picture and text report Download PDFInfo
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- CN107273657A CN107273657A CN201710339264.3A CN201710339264A CN107273657A CN 107273657 A CN107273657 A CN 107273657A CN 201710339264 A CN201710339264 A CN 201710339264A CN 107273657 A CN107273657 A CN 107273657A
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Abstract
The present invention relates to video diagnostic technology field, specifically disclose a kind of generation method and storage device of diagnostic imaging picture and text report, methods described is including to human body, each structural region is defined, form template image, will, patient image is registering with template image progress, each structural region of human body is marked off in patient image and tagged, lesion information in diagnosis report is identified and tagged according to natural semantics recognition algorithm, the word description of lesion information in diagnosis report is marked simultaneously, the lesion information recognized is passed through into label interaction mark corresponding organization of human body region into patient image, form focal area, the focus structure region marked in the word description of the lesion information marked in diagnosis report and patient image is associated by hyperlink.The present invention can correspond doctor to the lesion information in the diagnosis report of patient with the focus in the patient image that is obtained by diagnostic imaging, be providing convenience property of patient's reading report.
Description
Technical field
The present invention relates to video diagnostic technology field, more particularly to a kind of diagnostic imaging picture and text report generation method and deposit
Store up equipment.
Background technology
In current diagnostic imaging, radiologist is diagnosed according to patient's image, and lesion information is in the form of word
It is labeled in diagnosis imaging.Patient look at the word of diagnostic result when image and diagnostic result is taken, can not be clear
And it is that, with the related description of lesion information, can not find out that focus is embodied in where image which, which quickly understands,.
The content of the invention
It is an object of the invention to provide a kind of generation method and storage device of diagnostic imaging picture and text report, to help patient more
It is convenient more accurately to understand diagnostic imaging report.
In order to solve the above-mentioned technical problem, the invention provides a kind of generation method of diagnostic imaging picture and text report, it is special
Levy and be, comprise the following steps：
S1. according to the standard internal anatomy of human body, to human body, each structural region is defined, and forms template image；
S2. it is the patient image obtained by diagnostic imaging is registering with template image progress, marked off in patient image
Each structural region of human body is simultaneously tagged；
S3. according to natural semantics recognition algorithm, identify doctor to the lesion information and focus in the diagnosis report of patient
Corresponding organ sites are simultaneously tagged, while marking the word description of lesion information in diagnosis report；
S4. by the lesion information recognized, by label interaction mark corresponding organization of human body region into patient image,
Form focal area；
S5. the disease that will be marked by hyperlink in the word description of the lesion information marked in diagnosis report and patient image
Stove structure region is associated, when clicking on the word description of the lesion information marked in diagnosis report, can be dashed forward in patient image
Go out and show corresponding focal area, when clicking on the focal area marked in patient image, can be highlighted in diagnosis report
The descriptive text of correspondence lesion information.
Preferably, in the step S1, each structural region of human body with《Nat's human anatomy》Defined human body portion
Position noun data are source.
Preferably, in the step S1, each structural region of human body also associates the position noun occurred in clinic.
Preferably, in the step S3, before nature semantics recognition is carried out, human organ dictionary library is first set up and to each device
Official position is tagged, the lesion information in then being reported by natural semantics recognition algorithm identifying and diagnosing, by making pauses in reading unpunctuated ancient writings and dividing
Word processing, is matched with the human organ dictionary library of foundation, finally obtains the corresponding organ portion of lesion information in diagnosis report
Position.
Preferably, in the step S3, the word description of the lesion information to being marked in diagnosis report is highlighted
Handle and number.
Preferably, in the step S3, the type to the word description short sentence of the lesion information of mark carries out priority stroke
Point, level categories are followed successively by from high to low：Disease, illness, sign, dissection noun, include multiple rank kinds in same short sentence
In the case of class, short sentence is defined as high-level species, while recording the data of other level categories.
Preferably, in the step S4, focal area and the numbering of mark are irised out in the form of picture frame in patient image.
Preferably, in the step S5, patient image is multiple, when the text for clicking on the lesion information marked in diagnosis report
During word description, corresponding patient image is ejected.
Preferably, in the step S5, by the hyperlink in HTML by the text of the lesion information marked in diagnosis report
Word description is associated with the organization of human body region marked in patient image.
Present invention also offers a kind of storage device, it stores a plurality of instruction, and the instruction is loaded and held by processor
The generation method of the described diagnostic imaging picture and text report of row.
The generation method of the diagnostic imaging picture and text report of the present invention can be by doctor to the focus in the diagnosis report of patient
Information is corresponded with the focal area in the patient image obtained by diagnostic imaging, is reached when in click diagnosis report
During the word description of the lesion information of mark, corresponding focal area can be highlighted in patient image, is schemed when clicking on patient
During the focal area marked as in, the effect of the descriptive text of correspondence lesion information can be highlighted in diagnosis report, meanwhile,
The patient image corresponding to lesion information can also be positioned from multiple patient images, this influence picture and text report can realize text
The effect that word is interlocked with image, is that patient reads providing convenience property of diagnostic imaging picture and text report, patient can be helped more directly clear
The diagnostic imaging report of clear deciphering doctor.
Brief description of the drawings
Fig. 1 is the diagnostic imaging picture and text report of generation of the embodiment of the present invention in the lesion information in not clicking on diagnosis report
Effect diagram；
Fig. 2 is a lesion information of the diagnostic imaging picture and text report of generation of the embodiment of the present invention in diagnosis report is clicked on
When effect diagram.
Embodiment
Embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples.Following examples are used for
Illustrate the present invention, but can not be used for limiting the scope of the present invention.
The generation method of the diagnostic imaging picture and text report of the present embodiment, comprises the following steps (such as in corresponding computing device
Perform)：
S1. according to the standard internal anatomy of human body, human body each structural region is defined (it is and tagged, for
Patient image carries out registration), form template image；
Each structural region of above-mentioned human body with《Nat's human anatomy》Defined human body noun data are source,
Concret moun is the generic noun of those skilled in the art, and here is omitted, meanwhile, each structural region of human body should also be associated
The position noun occurred in clinic.
S2. it is the patient image obtained by diagnostic imaging is registering with template image progress, marked off in patient image
Each structural region of human body is simultaneously tagged.
S3. according to natural semantics recognition algorithm, identify doctor to the lesion information and focus in the diagnosis report of patient
Corresponding organ sites are simultaneously tagged, such as in diagnosis report, are described as：The multiple micronodule shadow of lobe of left lung, then pass through
Our system identification goes out " lobe of left lung ", while the word description of lesion information in diagnosis report is marked, in diagnosis report
The word description of the lesion information of mark be highlighted and handles and number, and is such as labeled as different colours, as shown in Figure 1；
Specifically identification process is：Before nature semantics recognition is carried out, human organ dictionary library is first set up and to each organ portion
Position is tagged, the lesion information in then being reported by natural semantics recognition algorithm identifying and diagnosing, at punctuate and participle
Reason, is matched with the human organ dictionary library of foundation, finally obtains the corresponding organ sites of lesion information in diagnosis report；
Carry out priority division to the type of the word description short sentence of the lesion information of mark, level categories from high to low according to
It is secondary to be：Disease, illness, sign, dissection noun, in the case of including multiple level categories in same short sentence, short sentence is defined
For high-level species, while recording the data of other level categories, such as disease and the feelings of dissection noun are included in short sentence simultaneously
Condition, it is the information for describing disease to define the short sentence, but can record disease and Nomina Anatomica data simultaneously.
S4. by the lesion information recognized, by label interaction mark corresponding organization of human body region into patient image,
Formed focal area, can be irised out in patient image in the form of picture frame mark focal area and with corresponding lesion information
Reference numeral, as shown in Figure 2.
S5. by hyperlink (hyperlink in such as HTML) by the word description of the lesion information marked in diagnosis report with
The focus structure region marked in patient image is associated, when the word description for clicking on the lesion information marked in diagnosis report
When, corresponding focal area can be highlighted in patient image, as shown in Fig. 2 ejection layer display effect is click on first
The specific picture for the coordinate position that mark short sentence ejection is had good positioning, when clicking on the focal area marked in patient image, diagnosis
The descriptive text of correspondence lesion information can be highlighted in report；
Patient image is usually multiple, when clicking on the word description of the lesion information marked in diagnosis report, ejection pair
The patient image answered, idiographic flow is：By natural semantics recognition algorithm, identification doctor to described in patient's diagnosis report most
There is the representational image location information of focus, which which organizes as and opens, target image is designated as, here by natural language processing skill
Art is identified by corpus and statement matching, positions key word information and provides keyword type, and noun identification is completed with this,
Then, when original DICOM image sets are downloaded, target image is labeled, the image of mark is regard as first display.
The storage device stored of the present embodiment has a plurality of instruction, and the instruction is loaded by processor and performs above-described embodiment
Diagnostic imaging picture and text report generation method.
The generation method of the diagnostic imaging picture and text report of the present invention can be by doctor to the focus in the diagnosis report of patient
Information is corresponded with the focal area in the patient image obtained by diagnostic imaging, is reached when in click diagnosis report
During the word description of the lesion information of mark, corresponding focal area can be highlighted in patient image, is schemed when clicking on patient
During the focal area marked as in, the effect of the descriptive text of correspondence lesion information can be highlighted in diagnosis report, meanwhile,
The patient image corresponding to lesion information can also be positioned from multiple patient images, this influence picture and text report can realize text
The effect that word is interlocked with image, is that patient reads providing convenience property of diagnostic imaging picture and text report, patient can be helped more directly clear
The diagnostic imaging report of clear deciphering doctor.
Embodiments of the invention are provided for the sake of example and description, and are not exhaustively or by this to send out
It is bright to be limited to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Choosing
Select and describe embodiment and be more preferably to illustrate the principle and practical application of the present invention, and make one of ordinary skill in the art
It will be appreciated that the present invention is so as to design the various embodiments with various modifications suitable for special-purpose.
Claims (10)
1. a kind of generation method of diagnostic imaging picture and text report, it is characterised in that comprise the following steps：
S1. according to the standard internal anatomy of human body, to human body, each structural region is defined, and forms template image；
S2. it is the patient image obtained by diagnostic imaging is registering with template image progress, human body is marked off in patient image
Each structural region is simultaneously tagged；
S3. according to natural semantics recognition algorithm, identify doctor to the lesion information in the diagnosis report of patient and focus correspondence
Organ sites and tagged, while marking the word description of lesion information in diagnosis report；
S4. by the lesion information recognized, by label interaction mark corresponding organization of human body region into patient image, formed
Focal area；
S5. by hyperlink by the focus structure marked in the word description of the lesion information marked in diagnosis report and patient image
Region is associated, when clicking on the word description of the lesion information marked in diagnosis report, can protrude aobvious in patient image
Show corresponding focal area, when clicking on the focal area marked in patient image, correspondence can be highlighted in diagnosis report
The descriptive text of lesion information.
2. the generation method of diagnostic imaging picture and text report according to claim 1, it is characterised in that in the step S1,
Each structural region of human body with《Nat's human anatomy》Defined human body noun data are source.
3. the generation method of diagnostic imaging picture and text report according to claim 2, it is characterised in that in the step S1,
Each structural region of human body also associates the position noun occurred in clinic.
4. the generation method of diagnostic imaging picture and text report according to claim 1, it is characterised in that in the step S3,
Before nature semantics recognition is carried out, first set up human organ dictionary library and tagged to each organ sites, then pass through nature
Lesion information in the report of semantics recognition algorithm identifying and diagnosing, by punctuate and word segmentation processing, the human organ dictionary with foundation
Storehouse is matched, and finally obtains the corresponding organ sites of lesion information in diagnosis report.
5. the generation method of diagnostic imaging picture and text report according to claim 4, it is characterised in that in the step S3,
The word description of lesion information to being marked in diagnosis report be highlighted and handles and number.
6. the generation method of diagnostic imaging picture and text report according to claim 5, it is characterised in that in the step S3,
Type to the word description short sentence of the lesion information of mark carries out priority division, and level categories are followed successively by from high to low：Disease
Disease, illness, sign, dissection noun, in the case of including multiple level categories in same short sentence, short sentence are defined as high-level
Species, while recording the data of other level categories.
7. the generation method of diagnostic imaging picture and text report according to claim 5, it is characterised in that in the step S4,
Focal area and the numbering of mark are irised out in the form of picture frame in patient image.
8. the generation method of diagnostic imaging picture and text report according to claim 1, it is characterised in that in the step S5,
Patient image is multiple, when clicking on the word description of the lesion information marked in diagnosis report, ejects corresponding patient image.
9. the generation method of the diagnostic imaging picture and text report according to any one of claim 1-8, it is characterised in that institute
State in step S5, by the hyperlink in HTML by the word description and patient image of the lesion information marked in diagnosis report
The organization of human body region of mark is associated.
10. a kind of storage device, it is characterised in that it stores a plurality of instruction, and the instruction is by processor loading and right of execution
Profit requires the generation method of the diagnostic imaging picture and text report described in any one in 1-9.
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|---|---|---|---|---|
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101040801A (en) * | 2006-03-23 | 2007-09-26 | 株式会社东芝 | Apparatus and method of displaying image scanning report |
| CN101944154A (en) * | 2009-07-02 | 2011-01-12 | 株式会社东芝 | The shadow system is read in medical imaging |
| CN102497804A (en) * | 2009-09-17 | 2012-06-13 | 富士胶片株式会社 | Radiograph interpretation report creation device, method, and program |
| WO2018032819A1 (en) * | 2016-08-19 | 2018-02-22 | 深圳市前海安测信息技术有限公司 | Health monitoring system and method based on environmental perception |
-
2017
- 2017-05-15 CN CN201710339264.3A patent/CN107273657A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101040801A (en) * | 2006-03-23 | 2007-09-26 | 株式会社东芝 | Apparatus and method of displaying image scanning report |
| CN101944154A (en) * | 2009-07-02 | 2011-01-12 | 株式会社东芝 | The shadow system is read in medical imaging |
| CN102497804A (en) * | 2009-09-17 | 2012-06-13 | 富士胶片株式会社 | Radiograph interpretation report creation device, method, and program |
| WO2018032819A1 (en) * | 2016-08-19 | 2018-02-22 | 深圳市前海安测信息技术有限公司 | Health monitoring system and method based on environmental perception |
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| CN109545302B (en) * | 2018-10-22 | 2023-12-22 | 复旦大学 | Semantic-based medical image report template generation method |
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