CN111402983A - Cognitive disorder imaging automation reporting system and method thereof - Google Patents
Cognitive disorder imaging automation reporting system and method thereof Download PDFInfo
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- G—PHYSICS
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Abstract
The invention provides an automatic cognitive impairment imaging reporting system, which comprises a brain region part segmentation module, a brain region analysis module and a cognitive impairment imaging module, wherein the brain region part segmentation module segments a brain region into a plurality of different partitions and defines names based on evaluation items of the brain; the brain area position map module displays the position maps of all the subareas of the brain area on a report interface, and different colors are set for the position maps of all the subareas; the brain region injury score display module defines score options for the brain injury of each partition, and when a doctor clicks the name of the partition, the score options are displayed on a report interface; the data association module is used for automatically filling colors on the position map of the subarea when the doctor clicks the position map of the subarea; the physician selects the brain injury score for that zone, and the brain injury score is automatically displayed on the location map for that zone. The report automatic generation module automatically outputs the image-text report. The invention also discloses an automatic cognitive disorder iconography reporting method. The invention can provide the graphic interface capable of marking different parts and the quantitative and qualitative diagnostic data, and reduces the labor intensity.
Description
Technical Field
The invention relates to the field of medical information, in particular to an automatic cognitive disorder imaging reporting system and a method thereof.
Background
Cognitive impairment is a series of syndromes centered on acquired cognitive impairment, involving a wide range of diseases that severely affect the ability of a patient to learn, work and daily life. Neuroimaging examination is an important means for assisting in diagnosing cognitive disorder, but images are complex and diverse in expression, the current image interpretation mainly depends on subjective experience, most cognitive disorder report systems are pure text type report writing, and the writing process is time-consuming and labor-consuming; for statistical analysis of a large amount of data, a structured report is also used for writing, but the output is limited to a single sentence of some parts, automatic diagnosis is not available, quantitative analysis and information integration are lacked, visual display of image description is lacked, and the report content and terms are different, so that the comprehensiveness, the specialty and the mutual recognition of the image report are influenced, and the role of the imaging report in the diagnosis and treatment path is limited.
Disclosure of Invention
In view of the above, the present invention provides an automated cognitive impairment imaging reporting system and method thereof, which can solve the problems of lack of visual display of image description, lack of comprehensiveness and expertise in report content, and low diagnosis accuracy in the prior art.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
in one aspect, the invention provides an automatic cognitive impairment imaging reporting system, which comprises a brain region part segmentation module, a brain region part bitmap module, a brain region injury score display module, a data association module and an automatic report generation module, wherein the brain region part segmentation module is connected with the data association module and is used for segmenting a brain region into a plurality of different partitions based on evaluation items of the brain, defining the names of the partitions and displaying the names of the partitions at corresponding positions of a structured report interface; wherein the brain region comprises a left brain region and a right brain region; the brain area bitmap module is connected with the data association module and used for displaying the position map of each subarea of the brain area at the corresponding position of the structured report interface and setting different colors for the position map of each subarea; wherein, the position map of each partition corresponds to the name of one partition; wherein the partitioned position map comprises a sagittal brain region map, a coronal brain region map and an axial brain region map; the brain region injury score display module is connected with the data association module and used for defining score options for the brain injury of each partition, and when a doctor clicks the name of the partition, the score options are displayed at corresponding positions of the structured report interface; the data association module is respectively connected with the brain region part segmentation module, the brain region part bitmap module, the brain region damage score display module and the report automatic generation module, and is used for automatically filling the color of the position map corresponding to the partition on the position map of the partition when a doctor clicks the position map of the partition, and at the moment, the name of the partition displays the same color as the position map of the partition; when the doctor clicks the name of the subarea, the brain injury score of the subarea is selected, the brain injury score is automatically displayed on the position diagram of the subarea, and the diagnosis data of the doctor on the brain injury of each subarea is sent to the report automatic generation module; and the report automatic generation module is connected with the data association module and is used for automatically generating image expression and diagnosis impression based on the diagnosis data of the brain injury of each partition and outputting a picture and text report.
Preferably, the system further comprises a partition marking corresponding module connected with the data association module, and the partition marking corresponding module is used for automatically marking the same color as the partition position map of the corresponding coronal brain region map when the doctor clicks the partition position map of the sagittal brain region map.
Preferably, the system further comprises an error correction module connected to the report automatic generation module, and configured to deactivate the diagnostic data control of the right brain region injury on the structured report interface when the doctor clicks the diagnostic data of the left brain region injury; when the doctor clicks on the diagnostic data for the right brain region injury, the diagnostic data control for the left brain region injury on the structured report interface is deactivated.
Preferably, the error correction module further comprises an error reminding unit for automatically popping up an error reminding dialog box for reference of the doctor when the doctor manually edits the image representation or the diagnosis impression in the structured report interface and the diagnosis data of the brain injury of each partition do not conform to each other.
Preferably, the evaluation items include: brain volume assessment, brain limbic system assessment, magnetoencephalography assessment, leukoencephalopathy assessment, cerebral blood flow perfusion assessment, chronic brain injury assessment, cerebral small vessel disease assessment, diagnostic results and image representation and diagnostic impression.
On the other hand, the invention also provides an automatic cognitive disorder imaging reporting method, which comprises the following steps: the brain region part segmentation module segments the brain region into a plurality of different partitions based on evaluation items of the brain, defines the names of the partitions, and displays the names of the partitions at corresponding positions of the structured report interface; wherein the brain region comprises a left brain region and a right brain region; the brain area position map module displays the position maps of all the subareas of the brain area at corresponding positions of the structured report interface, and sets different colors for the position maps of all the subareas; wherein, the position map of each partition corresponds to the name of one partition; wherein the partitioned position map comprises a sagittal brain region map, a coronal brain region map and an axial brain region map; the brain region injury score display module defines score options for the brain injury of each partition, and when a doctor clicks the name of the partition, the score options are displayed at corresponding positions of the structured report interface; when a doctor clicks the position map of the partition, the data association module automatically fills the color of the position map corresponding to the partition on the position map of the partition, and at the moment, the name of the partition displays the same color as the position map of the partition; when the doctor clicks the name of the subarea, the brain injury score of the subarea is selected, the brain injury score is automatically displayed on the position diagram of the subarea, and the diagnosis data of the doctor on the brain injury of each subarea is sent to the report automatic generation module; the report automatic generation module automatically generates image expression and diagnosis impression based on the diagnosis data of the brain injury of each partition, and outputs a picture and text report.
Preferably, the method further comprises: when the doctor clicks the position map of the partition of the sagittal brain region map, the partition marking corresponding module automatically marks the same color on the position map of the partition of the coronal brain region map corresponding to the partition marking corresponding module.
Preferably, the method further comprises: when a doctor clicks the diagnosis data of the left brain region damage, the error correction module inactivates the diagnosis data control of the right brain region damage on the structured report interface; when the doctor clicks on the diagnostic data for the right brain region injury, the diagnostic data control for the left brain region injury on the structured report interface is deactivated.
Preferably, the method further comprises: when the image expression or the diagnosis impression manually edited by a doctor on the structured report interface is inconsistent with the diagnosis data of the brain injury of each partition, an error reminding unit in the error correction module automatically pops up an error reminding dialog box for the doctor to refer to.
Preferably, the evaluation items include: brain volume assessment, brain limbic system assessment, magnetoencephalography assessment, leukoencephalopathy assessment, cerebral blood flow perfusion assessment, chronic brain injury assessment, cerebral small vessel disease assessment, diagnostic results and image representation and diagnostic impression.
The invention has the technical effects that:
1. because the brain area part segmentation module, the brain area part bitmap module, the brain area damage score display module and the data association module are arranged in the invention, the brain area is segmented into a plurality of different partitions, different colors are set for the different partitions, when a doctor edits an image report of a patient, the doctor only needs to click the position map of each partition, and the association module fills the position map of the partition with corresponding colors, and the color of the position map is the same as the name color of the partition; when the lesions of the subarea need to be scored, such as GCA scoring, the name of the subarea is clicked and the score is selected, meanwhile, the score is displayed on the position map of the subarea in real time, the image report provides visual position maps with different distinguishing colors and the score of the lesions, in the interpretation process, manual input of a keyboard is avoided, only a doctor clicks an original map structure and an original map option by using a mouse, image index quantification and report term normalization are realized, on the premise of improving diagnosis quality, the labor intensity of the doctor is reduced, and the report writing efficiency is improved;
2. because the invention is provided with the subarea marking corresponding module, when a doctor clicks the subarea position graph of the sagittal brain area graph, the same color is automatically marked with the corresponding subarea position graph of the coronal brain area graph, so that the image report is more intuitive, the operation interface is more humanized, and the doctor and the patient can conveniently read the image information;
3. because the error correction module is arranged, when a doctor clicks the diagnosis data of the left brain region damage, the diagnosis data control of the right brain region damage on the structured report interface is inactivated; deactivating the diagnostic data control for the left brain region injury on the structured report interface when the doctor clicks on the diagnostic data for the right brain region injury; or when the image expression or the diagnosis impression manually edited by the doctor does not accord with the diagnosis data of the brain injury of each subarea, the error reminding unit in the error correction module automatically pops up an error reminding dialog box for the doctor to refer to, so that errors of left and right brain areas caused by manual operation are prevented, text errors are output, and the diagnosis quality of the doctor is improved;
4. since the evaluation items of the present invention include: the brain volume evaluation, the brain peripheral system evaluation, the brain magnetic sensitivity imaging evaluation, the brain white lesion evaluation, the brain blood flow perfusion evaluation, the chronic brain injury evaluation, the small cerebral vascular disease evaluation, the diagnosis result, the image expression and the diagnosis impression can provide quantitative and qualitative data, give consideration to the commonalities and characteristics of various diseases, comprehensively provide the human-computer interaction anatomical positioning, morphological structure, brain function, focus signals and image pathology information in multiple dimensions, ensure that the report information is not missed, and avoid the missing of important conclusions.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a schematic structural diagram of an automated cognitive impairment imaging reporting system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a structured report interface for evaluating an item in an automated report system for cognitive impairment imaging as brain volume evaluation according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a structured report interface of an assessment item of cerebral blood perfusion assessment in an automated cognitive impairment imaging reporting system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a structured report interface of the automated report system for cognitive impairment imaging, wherein the evaluation items are chronic brain injury evaluation and small cerebrovascular disease evaluation according to an embodiment of the invention;
fig. 5 is a schematic diagram illustrating a structured report interface for evaluating an item as a diagnosis result in an automated report system for cognitive impairment imaging according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a structured report interface for evaluating the items as image performance and diagnosis impression in the automated report system for cognitive impairment imaging according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating an output teletext report in the automated cognitive impairment imaging reporting system according to an embodiment of the invention;
fig. 8 is a schematic structural diagram of an automated cognitive impairment imaging reporting system according to a second embodiment of the present invention;
fig. 9 is a schematic diagram illustrating a color of a sagittal brain region label displayed on a structural report interface of a cerebral blood perfusion assessment as an assessment item in the automated cognitive impairment imaging reporting system according to the second embodiment of the present invention is consistent with a color of a coronal brain region label;
fig. 10 is a schematic structural diagram of an automated cognitive impairment imaging reporting system according to a third embodiment of the present invention;
fig. 11 is a schematic structural diagram of an automated reporting system for cognitive impairment imaging according to a fourth embodiment of the present invention;
fig. 12 is a flowchart of an automated reporting method for cognitive impairment imaging according to a fifth embodiment of the present invention;
fig. 13 is a schematic diagram of a structured report interface illustrating an evaluation item of brain volume evaluation in the automated cognitive impairment imaging reporting method according to the fifth embodiment of the present invention;
fig. 14 is a schematic diagram of a structured report interface illustrating an evaluation item of cerebral blood perfusion evaluation in an automated cognitive impairment imaging reporting method according to a fifth embodiment of the present invention;
fig. 15 is a schematic diagram of a structured report interface for evaluating the chronic brain injury and the small cerebrovascular disease in the cognitive impairment imaging automated reporting method according to the fifth embodiment of the invention;
fig. 16 is a schematic view of a structured report interface showing the diagnosis result as an evaluation item in the automatic cognitive impairment imaging reporting method according to the fifth embodiment of the present invention;
fig. 17 is a schematic view of a structured report interface illustrating evaluation items as image representation and diagnosis impression in an automated cognitive impairment imaging reporting method according to a fifth embodiment of the present invention;
fig. 18 is a diagram showing an output graphic report in the cognitive impairment imaging automated reporting method according to the fifth embodiment of the present invention;
fig. 19 is a schematic diagram illustrating colors of sagittal brain region labels and coronal brain region labels displayed on a structural report interface for cerebral blood perfusion assessment as an assessment item in the automated cognitive impairment imaging reporting method according to the fifth embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example one
Fig. 1 is a schematic structural diagram of an automated cognitive impairment imaging reporting system according to a first embodiment of the present invention; as shown in fig. 1, the system includes: a brain region part segmentation module 10, a brain region part bitmap module 20, a brain region damage score display module 30, a data association module 40 and an automatic report generation module 50, wherein,
the brain region part segmentation module 10 is connected with the data association module 40 and is used for segmenting the brain region into a plurality of different partitions based on evaluation items of the brain, defining the names of the partitions and displaying the names of the partitions at corresponding positions of the structured report interface; wherein the brain region comprises a left brain region and a right brain region;
the brain area bitmap module 20 is connected with the data association module 40 and is used for displaying the position map of each partition of the brain area at a corresponding position of the structured report interface and setting different colors for the position map of each partition; wherein, the position map of each partition corresponds to the name of one partition; wherein the partitioned position map comprises a sagittal brain region map, a coronal brain region map and an axial brain region map;
the brain region injury score display module 30 is connected with the data association module 40 and is used for defining score options for the brain injury of each region, and when a doctor clicks the name of the region, the score options are displayed at corresponding positions of the structured report interface;
the data association module 40 is respectively connected with the brain region part segmentation module 10, the brain region bitmap module 20, the brain region injury score display module 30 and the report automatic generation module 50, and is used for automatically filling the color of the position map corresponding to the partition on the position map of the partition when the doctor clicks the position map of the partition, and at the moment, the name of the partition displays the same color as the position map of the partition; when the doctor clicks the name of the partition, the brain injury score of the partition is selected, the brain injury score is automatically displayed on the position map of the partition, and the diagnosis data of the doctor on the brain injury of each partition is sent to the report automatic generation module 50;
and the report automatic generation module 50 is connected with the data association module 40 and is used for automatically generating image expression and diagnosis impression based on the diagnosis data of the brain injury of each partition and outputting a picture and text report.
Wherein the evaluation items comprise: brain volume assessment, brain limbic system assessment, magnetoencephalography assessment, leukoencephalopathy assessment, cerebral blood flow perfusion assessment, chronic brain injury assessment, cerebral small vessel disease assessment, diagnostic results and image representation and diagnostic impression.
Fig. 2 shows a schematic diagram of a structured report interface for evaluating brain volume as an evaluation item in an automated report system for cognitive impairment imaging according to an embodiment of the present invention, where as shown in fig. 2, a brain region segmentation module segments a brain region into 13 regions, namely, a right frontal lobe, a left frontal lobe, a right parietal lobe, a left temporal lobe, a right occipital lobe, a left occipital lobe, a right cerebellum, a left cerebellum, a midbrain, a lumbricus, and a pons, and the names of the 13 regions are displayed in a lower right corner of the structured report interface for reference of a doctor, and when the doctor clicks the right frontal lobe according to an image of the patient, the position diagram of the region shows blue, and the name of the right frontal lobe also shows blue, and when the doctor clicks the name of the right frontal lobe, a brain injury score (GCA score) option of the region is displayed on the structured report interface, and when 2 is selected, the position diagram of the right frontal lobe shows "②";
fig. 3 is a schematic diagram of a structured report interface of an assessment item of cerebral blood perfusion assessment in an automated cognitive impairment imaging reporting system according to an embodiment of the present invention; as shown in fig. 3, the brain region segmentation module segments the brain region into: the right frontal lobe, the left frontal lobe, the right parietal lobe, the left parietal lobe, the right temporal lobe, the left temporal lobe, the right occipital lobe, the left occipital lobe, the right cerebellum, the left cerebellum, the right midbrain, the left pons and the right pons are 14 partitions, and the partition is divided into the number of partitions according to the requirements of the evaluation project.
Fig. 4 is a schematic diagram of a structured report interface of the automated report system for cognitive impairment imaging, wherein the evaluation items are chronic brain injury evaluation and small cerebrovascular disease evaluation according to an embodiment of the invention; as shown in fig. 4.
According to the requirement of each evaluation item, displaying the judgment standard corresponding to the diagnosis data of the evaluation item at the corresponding position of the structured report, for example: scoring criteria for GCA: sulcus dilation (S), thinning of the gyrus (G), 0: non-atrophy, S0, G0, 1: mild, S +, G0; 2: moderate, S + +, G +; 3: severe, S + + +, G + + (blade-like), sulcus wider than gyrus.
Fig. 5 is a schematic diagram illustrating a structured report interface for evaluating an item as a diagnosis result in an automated report system for cognitive impairment imaging according to an embodiment of the present invention; as shown in fig. 5, the main diagnoses are: alzheimer's disease, frontotemporal dementia, dementia with Lewy bodies, Creutzfeldt-Jakob disease, vascular dementia and cerebrovascular disease. The doctor can click according to the image of the patient.
Fig. 6 is a schematic diagram of a structured report interface for evaluating the items as image performance and diagnosis impression in the automated report system for cognitive impairment imaging according to an embodiment of the present invention; as shown in fig. 6, the image representation and the diagnosis impression can be automatically generated according to the click selection of the doctor on the diagnosis data of the evaluation item, or can be edited manually, which facilitates the operability of the doctor.
Fig. 7 is a schematic diagram illustrating an output teletext report in the automated cognitive impairment imaging reporting system according to an embodiment of the invention; as shown in fig. 7, the graphic report shows the lesion position (different color indication), lesion score, lesion volume, abnormal signal of each region of the brain, and the image of the lesion, and the summary opinion.
The embodiment of the invention is provided with a brain region part segmentation module, a brain region part bitmap module, a brain region injury score display module and a data association module, the brain region is segmented into a plurality of different partitions, different colors are set for the different partitions, when a doctor edits an image report of a patient, a position map of each partition is clicked, and the association module fills corresponding colors into the position maps of the partitions and has the same name color as the partition; when the lesions of the subarea need to be scored, such as GCA scoring, the name of the subarea is clicked and the score is selected, meanwhile, the score is displayed on the position map of the subarea in real time, the image report provides visual position maps with different distinguishing colors and the score of the lesions, in the interpretation process, manual input of a keyboard is avoided, only a doctor clicks an original map structure and an original map option by using a mouse, image index quantification and report term normalization are realized, on the premise of improving diagnosis quality, the labor intensity of the doctor is reduced, and the report writing efficiency is improved; since the evaluation items include: the brain volume evaluation, the brain peripheral system evaluation, the brain magnetic sensitivity imaging evaluation, the brain white lesion evaluation, the brain blood flow perfusion evaluation, the chronic brain injury evaluation, the small cerebral vascular disease evaluation, the diagnosis result, the image expression and the diagnosis impression can provide quantitative and qualitative data, give consideration to the commonalities and characteristics of various diseases, comprehensively provide the human-computer interaction anatomical positioning, morphological structure, brain function, focus signals and image pathology information in multiple dimensions, ensure that the report information is not missed, and avoid the missing of important conclusions.
Example two
Fig. 8 is a schematic structural diagram of an automated cognitive impairment imaging reporting system according to a second embodiment of the present invention; as shown in fig. 8, the system further includes a partition labeling corresponding module 60 connected to the data association module 40, for automatically labeling the same color as the partition position map of the corresponding coronal brain region map when the physician clicks the partition position map of the sagittal brain region map.
Fig. 9 is a schematic diagram illustrating a color of a sagittal brain region label displayed on a structural report interface of a cerebral blood perfusion assessment as an assessment item in the automated cognitive impairment imaging reporting system according to the second embodiment of the present invention is consistent with a color of a coronal brain region label; as shown in FIG. 9, the physician clicks on the left sagittal right frontal lobe, which is filled in blue, and the left coronal right frontal lobe is also shown in blue; the doctor clicks on the left sagittal frontal lobe, which is filled with green, and the left coronal frontal lobe is also displayed green.
The embodiment of the invention is provided with the subarea marking corresponding module, when a doctor clicks the subarea position graph of the sagittal brain area graph, the subarea position graph of the coronal brain area graph corresponding to the doctor is automatically marked with the same color, so that the image report is more intuitive, the operation interface is more humanized, and the doctor and the patient can conveniently read the image information.
EXAMPLE III
Fig. 10 is a schematic structural diagram of an automated cognitive impairment imaging reporting system according to a third embodiment of the present invention; as shown in fig. 10, the system further includes an error correction module 70 connected to the report automatic generation module 50, for inactivating the diagnostic data control of the right brain region injury on the structured report interface when the doctor clicks the diagnostic data of the left brain region injury; when the doctor clicks on the diagnostic data for the right brain region injury, the diagnostic data control for the left brain region injury on the structured report interface is deactivated. When a doctor clicks the related diagnosis data of the left brain region injury, the diagnosis data control of the right brain region injury is automatically locked, and the doctor cannot click the diagnosis data control, so that the misoperation of the doctor is effectively prevented, and the diagnosis accuracy is improved.
The embodiment of the invention is provided with an error correction module, and when a doctor clicks the diagnosis data of the left brain region damage, the diagnosis data control of the right brain region damage on the structured report interface is inactivated; when a doctor clicks the diagnosis data of the right brain region damage, the diagnosis data control of the left brain region damage on the structured report interface is inactivated, so that diagnosis errors of the left and right brain regions caused by manual operation are prevented, and the diagnosis quality is improved.
Example four
Fig. 11 is a schematic structural diagram of an automated reporting system for cognitive impairment imaging according to a fourth embodiment of the present invention; as shown in fig. 11, the error correction module 70 further includes an error reminding unit 702, which is used to automatically pop up an error reminding dialog box for the doctor to refer to when the doctor manually edits the image representation or the diagnosis impression in the structured report interface and the diagnosis data of the brain injury of each partition does not match.
According to the embodiment of the invention, the error reminding unit is arranged, and when the image expression or the diagnosis impression manually edited by a doctor does not accord with the diagnosis data of the brain injury of each partition, an error reminding dialog box is automatically popped up for the doctor to refer to, so that the error of output text is prevented, and the diagnosis quality and the work efficiency of the doctor are improved.
EXAMPLE five
Fig. 12 is a flowchart of an automated cognitive impairment imaging reporting method according to a fifth embodiment of the present invention, and as shown in fig. 12, the method includes the following steps:
step S501, a brain region part segmentation module segments a brain region into a plurality of different partitions based on evaluation items of the brain, defines the names of the partitions, and displays the names of the partitions at corresponding positions of a structured report interface; wherein the brain region comprises a left brain region and a right brain region;
step S502, the brain area position map module displays the position map of each subarea of the brain area at the corresponding position of the structured report interface, and sets different colors for the position map of each subarea; wherein, the position map of each partition corresponds to the name of one partition; wherein the partitioned position map comprises a sagittal brain region map, a coronal brain region map and an axial brain region map;
step S503, the brain region damage score display module defines score options for the brain damage of each subarea, and when a doctor clicks the name of the subarea, the score options are displayed at corresponding positions of the structured report interface;
step S504, when the doctor clicks the position map of the subarea, the data association module automatically fills the color of the position map corresponding to the subarea in the position map of the subarea, and at the moment, the name of the subarea displays the same color as the position map of the subarea; when the doctor clicks the name of the subarea, the brain injury score of the subarea is selected, the brain injury score is automatically displayed on the position diagram of the subarea, and the diagnosis data of the doctor on the brain injury of each subarea is sent to the report automatic generation module;
step S505, the report automatic generation module automatically generates image expression and diagnosis impression based on the diagnosis data of the brain injury of each partition, and outputs a picture and text report;
wherein the evaluation items comprise: brain volume assessment, brain limbic system assessment, magnetoencephalography assessment, leukoencephalopathy assessment, cerebral blood flow perfusion assessment, chronic brain injury assessment, cerebral small vessel disease assessment, diagnostic results and image representation and diagnostic impression.
Fig. 13 shows a schematic diagram of a structured report interface for evaluating brain volume as an evaluation item in an automated reporting method for cognitive impairment imaging according to the fifth embodiment of the present invention, where as shown in fig. 13, a brain region segmentation module segments a brain region into 13 partitions, namely, a right frontal lobe, a left frontal lobe, a right parietal lobe, a left temporal lobe, a right occipital lobe, a left occipital lobe, a right cerebellum, a left cerebellum, a midbrain, a lumbricus, and a pons, and the names of the 13 partitions are displayed in the lower right corner of the structured report interface for reference of a doctor, and when the doctor clicks the right frontal lobe according to an image of the patient, the location map of the partition displays blue, and the name of the right frontal lobe also displays blue, and when the doctor clicks the name of the right frontal lobe, the brain injury score (GCA score) option of the partition is displayed on the structured report interface, and 2 is selected, then "②" is displayed on the location map of the right frontal lobe;
fig. 14 is a schematic diagram of a structured report interface illustrating an evaluation item of cerebral blood perfusion evaluation in an automated cognitive impairment imaging reporting method according to a fifth embodiment of the present invention; as shown in fig. 14, the brain region segmentation module segments the brain region into: the right frontal lobe, the left frontal lobe, the right parietal lobe, the left parietal lobe, the right temporal lobe, the left temporal lobe, the right occipital lobe, the left occipital lobe, the right cerebellum, the left cerebellum, the right midbrain, the left pons and the right pons are 14 partitions, and the partition is divided into the number of partitions according to the requirements of the evaluation project.
Fig. 15 is a schematic diagram of a structured report interface for evaluating the chronic brain injury and the small cerebrovascular disease in the cognitive impairment imaging automated reporting method according to the fifth embodiment of the invention; as shown in fig. 15.
According to the requirement of each evaluation item, displaying the judgment standard corresponding to the diagnosis data of the evaluation item at the corresponding position of the structured report, for example: scoring criteria for GCA: sulcus dilation (S), thinning of the gyrus (G), 0: non-atrophy, S0, G0, 1: mild, S +, G0; 2: moderate, S + +, G +; 3: severe, S + + +, G + + (blade-like), sulcus wider than gyrus.
Fig. 16 is a schematic view of a structured report interface showing the diagnosis result as an evaluation item in the automatic cognitive impairment imaging reporting method according to the fifth embodiment of the present invention; as shown in fig. 16, the main diagnoses are: alzheimer's disease, frontotemporal dementia, dementia with Lewy bodies, Creutzfeldt-Jakob disease, vascular dementia and cerebrovascular disease. The doctor can click according to the image of the patient.
Fig. 17 is a schematic view of a structured report interface illustrating evaluation items as image representation and diagnosis impression in an automated cognitive impairment imaging reporting method according to a fifth embodiment of the present invention; as shown in fig. 17, the image representation and the diagnosis impression can be automatically generated according to the click selection of the doctor on the diagnosis data of the evaluation item, or can be edited manually, which facilitates the operability of the doctor.
Fig. 18 is a diagram showing an output graphic report in the cognitive impairment imaging automated reporting method according to the fifth embodiment of the present invention; as shown in fig. 18, the graphic report shows the lesion position (different color indication), lesion score, lesion volume, abnormal signal graphic representation of each region of the brain region, image visualization, and summary opinion.
Wherein, the method also comprises: when the doctor clicks the position map of the partition of the sagittal brain region map, the partition marking corresponding module automatically marks the same color on the position map of the partition of the coronal brain region map corresponding to the partition marking corresponding module.
Fig. 19 is a schematic diagram illustrating a color of a sagittal brain region label displayed on a structural report interface of a cerebral blood perfusion assessment as an assessment item in the automated cognitive impairment imaging reporting system according to the fifth embodiment of the present invention is consistent with a color of a coronal brain region label; as shown in FIG. 19, the physician clicks on the left sagittal right frontal lobe, which is filled in blue, and the left coronal right frontal lobe is also shown in blue; the doctor clicks on the left sagittal frontal lobe, which is filled with green, and the left coronal frontal lobe is also displayed green.
Wherein, the method also comprises: when a doctor clicks the diagnosis data of the left brain region damage, the error correction module inactivates the diagnosis data control of the right brain region damage on the structured report interface; when the doctor clicks on the diagnostic data for the right brain region injury, the diagnostic data control for the left brain region injury on the structured report interface is deactivated. When a doctor clicks the related diagnosis data of the left brain region injury, the diagnosis data control of the right brain region injury is automatically locked, and the doctor cannot click the diagnosis data control, so that the misoperation of the doctor is effectively prevented, and the diagnosis accuracy is improved.
Wherein, the method also comprises: when the image expression or the diagnosis impression manually edited by a doctor on the structured report interface is inconsistent with the diagnosis data of the brain injury of each partition, an error reminding unit in the error correction module automatically pops up an error reminding dialog box for the doctor to refer to.
The brain region part segmentation module, the brain region part bitmap module, the brain region damage score display module and the data association module divide a brain region into a plurality of different partitions, set different colors for the different partitions, and when a doctor edits an image report of a patient, only click a position map of each partition, and the association module fills corresponding colors in the position maps of the partitions and has the same name colors as the partitions; when the lesions of the subarea need to be scored, such as GCA scoring, the name of the subarea is clicked and the score is selected, meanwhile, the score is displayed on the position map of the subarea in real time, the image report provides visual position maps with different distinguishing colors and the score of the lesions, in the interpretation process, manual input of a keyboard is avoided, only a doctor clicks an original map structure and an original map option by using a mouse, image index quantification and report term normalization are realized, on the premise of improving diagnosis quality, the labor intensity of the doctor is reduced, and the report writing efficiency is improved; because the subarea marking corresponding module in the invention, when a doctor clicks the subarea position graph of the sagittal brain area graph, the same color is automatically marked with the corresponding subarea position graph of the coronal brain area graph, so that an image report is more intuitive, an operation interface is more humanized, and the doctor and a patient can conveniently read image information; due to the error correction module, when a doctor clicks the diagnosis data of the left brain region damage, the diagnosis data control of the right brain region damage on the structured report interface is inactivated; deactivating the diagnostic data control for the left brain region injury on the structured report interface when the doctor clicks on the diagnostic data for the right brain region injury; or when the image expression or the diagnosis impression manually edited by the doctor does not accord with the diagnosis data of the brain injury of each subarea, the error reminding unit in the error correction module automatically pops up an error reminding dialog box for the doctor to refer to, so that errors of left and right brain areas caused by manual operation are prevented, text errors are output, and the diagnosis quality of the doctor is improved; since the evaluation items of the present invention include: the brain volume evaluation, the brain peripheral system evaluation, the brain magnetic sensitivity imaging evaluation, the brain white lesion evaluation, the brain blood flow perfusion evaluation, the chronic brain injury evaluation, the small cerebral vascular disease evaluation, the diagnosis result, the image expression and the diagnosis impression can provide quantitative and qualitative data, give consideration to the commonalities and characteristics of various diseases, comprehensively provide the human-computer interaction anatomical positioning, morphological structure, brain function, focus signals and image pathology information in multiple dimensions, ensure that the report information is not missed, and avoid the missing of important conclusions.
From the above description, it can be seen that the above-described embodiments of the present invention achieve the following technical effects: the embodiment of the invention is provided with a brain region part segmentation module, a brain region part bitmap module, a brain region injury score display module and a data association module, the brain region is segmented into a plurality of different partitions, different colors are set for the different partitions, when a doctor edits an image report of a patient, a position map of each partition is clicked, and the association module fills corresponding colors into the position maps of the partitions and has the same name color as the partition; when the lesions of the subarea need to be scored, such as GCA scoring, the name of the subarea is clicked and the score is selected, meanwhile, the score is displayed on the position map of the subarea in real time, the image report provides visual position maps with different distinguishing colors and the score of the lesions, in the interpretation process, manual input of a keyboard is avoided, only a doctor clicks an original map structure and an original map option by using a mouse, image index quantification and report term normalization are realized, on the premise of improving diagnosis quality, the labor intensity of the doctor is reduced, and the report writing efficiency is improved; because the subarea marking corresponding module is arranged in the embodiment of the invention, when a doctor clicks the subarea position graph of the sagittal brain area graph, the same color is automatically marked on the corresponding subarea position graph of the coronal brain area graph, so that an image report is more intuitive, an operation interface is more humanized, and the doctor and a patient can conveniently read image information; because the error correction module is arranged in the embodiment of the invention, when a doctor clicks the diagnosis data of the left brain region damage, the diagnosis data control of the right brain region damage on the structured report interface is inactivated; deactivating the diagnostic data control for the left brain region injury on the structured report interface when the doctor clicks on the diagnostic data for the right brain region injury; or when the image expression or the diagnosis impression manually edited by the doctor does not accord with the diagnosis data of the brain injury of each subarea, the error reminding unit in the error correction module automatically pops up an error reminding dialog box for the doctor to refer to, so that errors of left and right brain areas caused by manual operation are prevented, text errors are output, and the diagnosis quality of the doctor is improved; since the evaluation items of the embodiment of the present invention include: the brain volume evaluation, the brain peripheral system evaluation, the brain magnetic sensitivity imaging evaluation, the brain white lesion evaluation, the brain blood flow perfusion evaluation, the chronic brain injury evaluation, the small cerebral vascular disease evaluation, the diagnosis result, the image expression and the diagnosis impression can provide quantitative and qualitative data, give consideration to the commonalities and characteristics of various diseases, comprehensively provide the human-computer interaction anatomical positioning, morphological structure, brain function, focus signals and image pathology information in multiple dimensions, ensure that the report information is not missed, and avoid the missing of important conclusions.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An automatic cognitive disorder imaging reporting system is characterized by comprising a brain region part segmentation module, a brain region part bitmap module, a brain region injury score display module, a data association module and an automatic report generation module, wherein,
the brain area part segmentation module is connected with the data association module and used for segmenting the brain area into a plurality of different partitions based on evaluation items of the brain, defining the names of the partitions and displaying the names of the partitions at corresponding positions of a structured report interface; wherein the brain regions comprise a left brain region and a right brain region;
the brain area bitmap module is connected with the data association module and used for displaying the position map of each subarea of the brain area at the corresponding position of the structured report interface and setting different colors for the position map of each subarea; wherein the location map of each partition corresponds to the name of one partition; wherein the map of locations for the partitions includes a sagittal brain region map, a coronal brain region map, and an axial brain region map;
the brain region damage score display module is connected with the data association module and used for defining score options for the brain damage of each region, and when a doctor clicks the name of the region, the score options are displayed at corresponding positions of the structured report interface;
the data association module is respectively connected with the brain region part segmentation module, the brain region part bitmap module, the brain region damage score display module and the report automatic generation module, and is used for automatically filling the color of the position map corresponding to the partition on the position map of the partition when a doctor clicks the position map of the partition, and at the moment, the name of the partition displays the same color as the position map of the partition; when the doctor clicks the name of the partition, the brain injury score of the partition is selected, the brain injury score is automatically displayed on the position diagram of the partition, and the diagnosis data of the doctor on the brain injury of each partition is sent to the report automatic generation module;
and the report automatic generation module is connected with the data association module and is used for automatically generating image expression and diagnosis impression based on the diagnosis data of the brain injury of each partition and outputting a picture and text report.
2. The automated cognitive impairment imaging reporting system of claim 1, further comprising a segment labeling module, connected to the data association module, for automatically labeling the same color as the corresponding segment of the coronal brain region map when the physician clicks on the segment of the sagittal brain region map.
3. The automated cognitive impairment imaging reporting system of claim 1, further comprising an error correction module, coupled to the report auto-generation module, configured to deactivate the diagnostic data control for the right brain region injury on the structured report interface when a physician clicks on the diagnostic data for the left brain region injury; deactivating the diagnostic data control for the left brain region injury on the structured report interface when the doctor clicks on the diagnostic data for the right brain region injury.
4. The automated cognitive impairment imaging reporting system of claim 3, wherein the error correction module further comprises an error reminding unit for automatically popping up an error reminding dialog box for reference by a doctor when the doctor manually edits the image representation or the diagnosis impression in the structured reporting interface and the diagnosis data of the brain injury of each of the partitions do not conform to each other.
5. The automated cognitive impairment imaging reporting system of claim 1, wherein the assessment items comprise: brain volume assessment, brain limbic system assessment, magnetoencephalography assessment, leukoencephalopathy assessment, cerebral blood flow perfusion assessment, chronic brain injury assessment, cerebral small vessel disease assessment, diagnosis results and the image representation and the diagnosis impression.
6. An automated visual cognitive impairment reporting method, comprising:
the brain region part segmentation module segments the brain region into a plurality of different partitions based on evaluation items of the brain, defines names of the partitions, and displays the names of the partitions at corresponding positions of a structured report interface; wherein the brain regions comprise a left brain region and a right brain region;
the brain area position map module displays the position maps of all the subareas of the brain area at corresponding positions of the structured report interface, and sets different colors for the position maps of all the subareas; wherein the location map of each partition corresponds to the name of one partition; wherein the map of locations for the partitions includes a sagittal brain region map, a coronal brain region map, and an axial brain region map;
the brain region injury score display module defines score options for the brain injury of each partition, and when a doctor clicks the name of the partition, the score options are displayed at corresponding positions of the structured report interface;
when the doctor clicks the position map of the partition, the data association module automatically fills the color of the position map corresponding to the partition on the position map of the partition, and at the moment, the name of the partition displays the same color as the position map of the partition; when the doctor clicks the name of the partition, the brain injury score of the partition is selected, the brain injury score is automatically displayed on the position diagram of the partition, and the diagnosis data of the doctor on the brain injury of each partition is sent to the report automatic generation module;
the report automatic generation module automatically generates image expression and diagnosis impression based on the diagnosis data of the brain injury of each partition, and outputs a picture and text report.
7. The automated visual cognitive impairment reporting method of claim 6, further comprising: when the doctor clicks the position map of the partition of the sagittal brain region map, the partition marking corresponding module automatically marks the same color on the position map of the partition of the coronal brain region map corresponding to the partition marking corresponding module.
8. The automated visual cognitive impairment reporting method of claim 6, further comprising: when a doctor clicks the diagnosis data of the left brain region damage, the error correction module inactivates the diagnosis data control of the right brain region damage on the structured report interface; deactivating the diagnostic data control for the left brain region injury on the structured report interface when the doctor clicks on the diagnostic data for the right brain region injury.
9. The automated visual cognitive impairment reporting method of claim 8, further comprising: when the doctor manually edits the image representation or the diagnosis impression in the structured report interface and the diagnosis data of the brain injury of each partition are inconsistent, an error reminding unit in the error correction module automatically pops up an error reminding dialog box for the doctor to refer to.
10. The automated visual cognitive impairment reporting method of claim 6, further comprising: the evaluation items include: brain volume assessment, brain limbic system assessment, magnetoencephalography assessment, leukoencephalopathy assessment, cerebral blood flow perfusion assessment, chronic brain injury assessment, cerebral small vessel disease assessment, diagnosis results and the image representation and the diagnosis impression.
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