CN116012286A - Surgical risk area determination method, device, electronic equipment and readable storage medium - Google Patents
Surgical risk area determination method, device, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, electronic equipment and a readable storage medium for determining a surgical risk area, comprising the following steps: acquiring a medical image and a target focus in the medical image; determining a target cutting edge region in the medical image according to the image position information of the target focus; acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue; and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue. Therefore, according to the method for determining the surgical risk area provided by the embodiment of the application, the surgical risk area corresponding to the target focus can be determined according to at least one of the first position information and the second position information, and the risk information is provided for a doctor in the surgical process or before the surgery, so that the safety and the success rate of the surgery are improved.
Description
Technical Field
The application relates to the technical field of medical treatment, in particular to a method and a device for determining an operation risk area, electronic equipment and a readable storage medium.
Background
In recent years, prevention and treatment of malignant tumors have become a widely focused problem. Due to the specificity of tumors, ablation, resection, and the like are often used for treatment. In order to eradicate the tumor, preventing it from spreading further, it is common to remove the area where the tumor is located by means of ablation. Prior to surgical removal of the tumor, the removal area needs to be pre-defined to ensure that the tumor is completely removed.
However, the delineated tumor resection area sometimes intersects with vital tissues or organs of the human body, resulting in reduced safety of the procedure and even a threat to human life.
Disclosure of Invention
The application provides a method and a device for determining an operation risk area, electronic equipment and a readable storage medium, and aims to solve the problem of lower safety when a tumor resection operation is performed at present.
In a first aspect, the present application provides a method for determining a surgical risk area, comprising:
acquiring a medical image and a target focus in the medical image;
determining a target cutting edge region in the medical image according to the image position information of the target focus;
acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue;
And determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
In one possible implementation of the present application, the acquiring a first physiological tissue in the target incisal edge area, and a second physiological tissue associated with the first physiological tissue, includes:
performing identification processing on the target cutting edge region through a preset identification model to obtain a first physiological tissue in the target cutting edge region;
obtaining a target physiological tissue to which the first physiological tissue belongs, and taking the target physiological tissue as a second physiological tissue associated with the first physiological tissue.
In one possible implementation of the present application, the first physiological tissue is a pulmonary vessel segment in the target incisal region, and the second physiological tissue is a branch vessel to which the pulmonary vessel segment belongs.
In one possible implementation of the present application, the target incisal edge area includes a first incisal edge area and a second incisal edge area, the first incisal edge area being an actual surgical area to be corrected, the second incisal edge area being configured to provide reference tissue information for correction.
In one possible implementation manner of the present application, the determining a target cutting edge area in the medical image according to the image position information of the target focus includes:
determining a first incision area in the medical image according to the image position information of the target focus and a preset distance;
processing the region edge of the first cutting edge region through a preset expansion algorithm to obtain a newly added second cutting edge region;
and taking the first cutting edge area and the second cutting edge area as target cutting edge areas.
In one possible implementation manner of the present application, after determining the surgical risk area corresponding to the target lesion according to the first location information of the target incisal edge area and/or the second location information of the second physiological tissue, the method further includes:
and correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target focus.
In one possible implementation manner of the present application, the correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target focus includes:
Matching the position range information of the operation risk area with the position range information of the first incision area to obtain a target area which is not overlapped with the operation risk area in the first incision area;
and setting the target area as an operation area corresponding to the target focus.
In one possible implementation manner of the present application, after the acquiring the first physiological tissue in the target cutting edge area and the second physiological tissue associated with the first physiological tissue, the method further includes:
if the first physiological tissue is located in the first incisal edge area, acquiring a third physiological tissue associated with the second physiological tissue, and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the third position information of the third physiological tissue;
and if the first physiological tissue is located in the second incised edge area, executing the step of determining an operation risk area corresponding to the target focus according to the first position information of the target incised edge area and/or the second position information of the second physiological tissue.
In one possible implementation manner of the present application, after determining the surgical risk area corresponding to the target lesion according to the first location information of the target incisal edge area and the second location information of the second physiological tissue, the method further includes:
If the first physiological tissue is located in the first incision area, displaying the operation risk area in a preset first display mode in a target terminal;
and if the first physiological tissue is located in the second incised edge area, displaying the operation risk area in a preset second display mode in the target terminal.
In one possible implementation of the present application, the target lesion is one of tumor tissue and a tissue of a anatomical variation.
In a second aspect, the present application provides a surgical risk area determination apparatus comprising:
a first acquisition unit configured to acquire a medical image, and a target lesion in the medical image;
a first determining unit configured to determine a target cutting edge region in the medical image according to image position information of the target lesion;
a second acquisition unit configured to acquire a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue;
and the second determining unit is used for determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
In a possible implementation manner of the present application, the second obtaining unit is further configured to:
performing identification processing on the target cutting edge region through a preset identification model to obtain a first physiological tissue in the target cutting edge region;
obtaining a target physiological tissue to which the first physiological tissue belongs, and taking the target physiological tissue as a second physiological tissue associated with the first physiological tissue.
In one possible implementation of the present application, the first physiological tissue is a pulmonary vessel segment in the target incisal region, and the second physiological tissue is a branch vessel to which the pulmonary vessel segment belongs.
In one possible implementation of the present application, the target incisal edge area includes a first incisal edge area and a second incisal edge area, the first incisal edge area being an actual surgical area to be corrected, the second incisal edge area being configured to provide reference tissue information for correction.
In a possible implementation manner of the present application, the first determining unit is further configured to:
determining a first incision area in the medical image according to the image position information of the target focus and a preset distance;
processing the region edge of the first cutting edge region through a preset expansion algorithm to obtain a newly added second cutting edge region;
And taking the first cutting edge area and the second cutting edge area as target cutting edge areas.
In a possible implementation manner of the present application, the second determining unit is further configured to:
and correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target focus.
In a possible implementation manner of the present application, the second determining unit is further configured to:
matching the position range information of the operation risk area with the position range information of the first incision area to obtain a target area which is not overlapped with the operation risk area in the first incision area;
and setting the target area as an operation area corresponding to the target focus.
In a possible implementation manner of the present application, the second determining unit is further configured to:
if the first physiological tissue is located in the first incisal edge area, acquiring a third physiological tissue associated with the second physiological tissue, and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the third position information of the third physiological tissue;
and if the first physiological tissue is located in the second incised edge area, executing the step of determining an operation risk area corresponding to the target focus according to the first position information of the target incised edge area and/or the second position information of the second physiological tissue.
In a possible implementation manner of the present application, the second determining unit is further configured to:
if the first physiological tissue is located in the first incision area, displaying the operation risk area in a preset first display mode in a target terminal;
and if the first physiological tissue is located in the second incised edge area, displaying the operation risk area in a preset second display mode in the target terminal.
In one possible implementation of the present application, the target lesion is one of tumor tissue and a tissue of a anatomical variation.
In a third aspect, the present application also provides an electronic device comprising a processor, a memory and a computer program stored in the memory and executable on the processor, the processor executing the steps of any of the surgical risk area determination methods provided herein when the processor invokes the computer program in the memory.
In a fourth aspect, the present application also provides a readable storage medium having stored thereon a computer program which, when executed by a processor, performs steps in any of the surgical risk area determination methods provided herein.
In summary, the method for determining a surgical risk area provided in the embodiment of the present application includes: acquiring a medical image and a target focus in the medical image; determining a target cutting edge region in the medical image according to the image position information of the target focus; acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue; and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
Therefore, according to the method for determining the surgical risk area provided by the embodiment of the application, the surgical risk area corresponding to the target focus can be determined according to at least one of the first position information and the second position information, and the risk information is provided for a doctor in the surgical process or before the surgery, so that the safety and the success rate of the surgery are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an application scenario schematic diagram of a method for determining a surgical risk area according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for determining a surgical risk area provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart of acquiring a target cutting edge region according to an embodiment of the present disclosure;
FIG. 4 is a schematic flow chart of acquiring a surgical field provided in an embodiment of the present application;
FIG. 5 is a schematic structural view of one embodiment of a surgical risk area determination device provided in an embodiment of the present application;
Fig. 6 is a schematic structural diagram of an embodiment of an electronic device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In the description of the embodiments of the present application, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or an implicit indication of the number of features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known processes have not been described in detail in order to avoid unnecessarily obscuring descriptions of the embodiments of the present application. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed in the embodiments of the present application.
The embodiment of the application provides a method and device for determining a surgical risk area, electronic equipment and a readable storage medium. The surgical risk area determining device may be integrated in an electronic device, and the electronic device may be a server or a terminal.
The execution body of the surgery risk area determining method according to the embodiment of the present application may be the surgery risk area determining device provided in the embodiment of the present application, or different types of electronic devices such as a server device, a physical host, or a User Equipment (UE) integrated with the surgery risk area determining device, where the surgery risk area determining device may be implemented in a hardware or software manner, and the UE may specifically be a terminal device such as a smart phone, a tablet computer, a notebook computer, a palm computer, a desktop computer, or a personal digital assistant (Personal Digital Assistant, PDA).
The electronic device may be operated in a single operation mode, or may also be operated in a device cluster mode.
Referring to fig. 1, fig. 1 is a schematic view of a surgical risk area determination system according to an embodiment of the present application. The surgical risk area determination system may include an electronic device 100, and a surgical risk area determination apparatus is integrated in the electronic device 100.
In addition, as shown in fig. 1, the surgical risk area determination system may also include a memory 200 for storing data, such as text data.
It should be noted that, the schematic view of the scenario of the surgery risk area determining system shown in fig. 1 is only an example, and the surgery risk area determining system and scenario described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and as one of ordinary skill in the art can know, along with the evolution of the surgery risk area determining system and the appearance of a new service scenario, the technical solutions provided by the embodiments of the present invention are equally applicable to similar technical problems.
Next, a description will be given beginning to a method for determining a risk area of surgery provided in an embodiment of the present application, where an electronic device is used as an execution body, and in order to simplify and facilitate description, in a subsequent method embodiment, the execution body will be omitted, and the determining a risk area of surgery includes: acquiring a medical image and a target focus in the medical image; determining a target cutting edge region in the medical image according to the image position information of the target focus; acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue; and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for determining a surgical risk area according to an embodiment of the present application. It should be noted that although a logical order is depicted in the flowchart, in some cases the steps depicted or described may be performed in a different order than presented herein. The method for determining the surgical risk area specifically may include the following steps 201 to 204, wherein:
201. a medical image is acquired, and a target lesion in the medical image.
Medical images may refer to images taken of a patient during surgery or prior to surgery, in which the patient's lesion information should be included. By way of example, a medical image may refer to a CT image taken of a lesion of a patient during a procedure by means of an electronic computed tomography (Computed Tomography, CT) technique. For example, when the lesion of the patient is a stomach, the stomach of the patient may be photographed by CT technique to obtain a medical image.
The method for determining the risk area of the operation can be used for tumor excision operation or other surgical operations, and warning information of the risk area is provided for doctors before or during the operation. Thus, the target lesion may refer to one of tumor tissue and a tissue of a anatomical variation. For example, the target lesion may refer to lung tumor tissue.
In some embodiments, the medical image may be detected by a trained lesion detection model to obtain a target lesion in the medical image. For example, the electronic device may acquire a target lesion in the medical image through the trained lesion detection model. For example, an initial focus detection model may be trained by using an open-source target detection model such as AlexNet as an initial focus detection model, through a preset sample focus image, and label information of the sample focus image, so as to obtain a trained focus detection model.
202. And determining a target cutting edge area in the medical image according to the image position information of the target focus.
The target incised edge area refers to an image area corresponding to an area in a medical image of a patient body involved in excision or dissection of a target focus in a surgical process, namely an image area corresponding to an actual surgical area in the medical image.
For example, the target incisal edge area may be divided in the medical image according to image position information of the target lesion and a preset distance. For example, the image position of the target lesion may be set as the center of the region, and a circular target cutting edge region may be obtained by dividing the preset distance as a radius. Alternatively, the image position of the target lesion may be set as the region center, and the target edge region in the forward direction may be divided by using the predetermined distance as the side length.
203. A first physiological tissue in the target incisal edge area is obtained, and a second physiological tissue associated with the first physiological tissue.
The first physiological tissue refers to a physiological tissue other than the target lesion in the target incisal edge area. For example, where the target lesion is a lung tumor tissue, the target incisal region may refer to the lung region surrounding the lung tumor tissue, and the first physiological tissue may be a segment of a pulmonary blood vessel in the lung region.
For example, the first physiological tissue may be obtained by a preset physiological tissue detection model. For example, an open-source target detection model such as AlexNet can be used as an initial physiological tissue detection model, and the initial physiological tissue detection model is trained through a preset sample physiological tissue image and label information of the sample physiological tissue image so as to obtain the preset physiological tissue detection model. It should be noted that, the preset physiological tissue detection model and the above trained lesion detection model may be the same model, or may be different models, and when the preset physiological tissue detection model and the trained lesion detection model are the same model, the models may detect different physiological tissues including the target lesion at the same time.
In the embodiment of the present application, the second physiological tissue associated with the first physiological tissue may refer to a physiological tissue to which the first physiological tissue belongs. For example, when the first physiological tissue is a pulmonary vessel segment, the second physiological tissue associated with the first physiological tissue may refer to a branch vessel to which the pulmonary vessel segment belongs. At this time, the step of "acquiring the first physiological tissue in the target incisal edge area, and the second physiological tissue associated with the first physiological tissue" includes:
and (1.1) carrying out identification processing on the target cutting edge region through a preset identification model to obtain a first physiological tissue in the target cutting edge region.
The preset recognition model may refer to the above preset physiological tissue detection model, which is not described in detail.
It should be noted that, through a preset recognition model, the recognition processing for the target edge area may be performed in the following two ways:
(a) Inputting the whole medical image into a preset identification model, wherein the preset identification model only acquires physiological tissues in a target incisor area;
(b) After the medical image is segmented, the image formed by segmenting the target edge area is input into a preset recognition model for recognition processing.
(1.2) obtaining a target physiological tissue to which the first physiological tissue belongs, and taking the target physiological tissue as a second physiological tissue associated with the first physiological tissue.
It will be appreciated that at least a portion of the second tissue (i.e., the first tissue) is in the target incisal area and typically at least a portion is outside the target incisal area.
The purpose of obtaining the second tissue is to take into account all tissue that may be affected by the procedure when determining the area of risk of the procedure, in order to increase the safety of the procedure. For example, when the target lesion is a lung tumor tissue, if a doctor performs an operation in an actual area corresponding to the target incisal edge area, the area actually affected by the operation is generally not limited to the target incisal edge area and the lung vessel segments in the target incisal edge area, and it is also easy to cause damage to the branch vessels to which the lung vessel segments around the target incisal edge area belong. For example, in the process of performing an operation on the target incised edge area, not only the pulmonary vessel segment in the target incised edge area may be damaged, but also the operation safety may be affected due to the contact of the tool held by the doctor or the body of the doctor to the branched vessel, and the associated influence of the blood pressure, the morphological change and the like of the branched vessel when the pulmonary vessel segment is damaged.
If all the pulmonary blood vessels are presented to the doctor in order to solve the above problems, the doctor may be confused due to excessive information presented, which affects the safety of the operation. If the above problem is not solved, only the first physiological tissue in the target incisor area is presented to the doctor, but the physiological tissue possibly damaged around the target incisor area cannot be presented, so that the effect of the presentation information is small, the content is small, and the physiological tissue possibly damaged outside the target incisor area is not considered.
Thus, in order to alert a physician to all tissues that are susceptible to damage with as little alert information as possible, the present embodiment determines a second tissue that is susceptible to surgical damage around the target lesion, via step 203.
In some embodiments, in order to avoid misrecognition and to screen out important tissues that are easily damaged in the target cutting edge region as much as possible, volumes corresponding to all detected tissues in the target cutting edge region may be obtained to screen out the first tissues. At this time, the step of performing, by using a preset recognition model, recognition processing on the target cutting edge region to obtain the first physiological tissue in the target cutting edge region may include:
And (2.1) carrying out recognition processing on the target incisal edge area through a preset recognition model to obtain candidate physiological tissues in the target incisal edge area.
The candidate physiological tissues refer to all physiological tissues identified by a preset identification model in a target incisal edge area.
And (2.2) comparing the volume corresponding to the candidate physiological tissue with a preset volume threshold value to obtain a first physiological tissue with the volume larger than the volume threshold value.
The volume corresponding to the candidate tissue may refer to the actual volume of the candidate tissue. For example, in an actual operation, according to the positions of the pixel points carrying different physiological tissue labels in the medical image, the electronic device may obtain the three-dimensional structures of different physiological tissues, so that the electronic device may obtain the pixel points carrying different candidate physiological tissue labels, and determine the three-dimensional structures corresponding to the candidate physiological tissues and the volumes of the three-dimensional structures according to the positions of the pixel points. For example, when the candidate tissue in the target incisal region includes: when the lung blood vessel segment and the lung lobe are processed, a first pixel point carrying a label of the lung blood vessel segment and a second pixel point carrying a label of the lung lobe can be respectively obtained, the volume corresponding to the lung blood vessel segment is determined according to the position of the first pixel point, and the volume corresponding to the lung lobe is determined according to the position of the second pixel point.
The preset volume threshold is used for evaluating the sizes of volumes corresponding to different candidate tissues. If the volume is greater than the volume threshold, it is indicated that the corresponding candidate tissue occupies more space in the target incisor region, and the candidate tissue is more important and is easily damaged during the surgical procedure.
In some embodiments, different volume thresholds may be set for different candidate tissues, considering the different possibilities of the candidate tissues being damaged during the surgical procedure. For example, a smaller volume threshold may be set for a segment of pulmonary blood vessels that is easily damaged, and a larger volume threshold may be set for other candidate tissues that are not easily damaged. At this time, before the step of comparing the volume corresponding to the candidate physiological tissue with the preset volume threshold to obtain the first physiological tissue with the volume greater than the volume threshold, the method further includes:
inquiring a preset threshold database to obtain a volume threshold corresponding to the candidate physiological tissue, and taking the volume threshold corresponding to the candidate physiological tissue as the preset volume threshold.
For candidate tissues having a volume less than or equal to the volume threshold, it is believed that the result of misrecognition may be due to less space occupied in the target incisors and, if not, may not be easily damaged during the surgical procedure and thus may be ignored.
204. And determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
The first position information and the second position information may refer to a position in a medical image, or may refer to a position actually in a patient, which is not limited in the embodiment of the present application. For ease of understanding, the first position information and the second position information are hereinafter considered as positions in the medical image.
The surgical risk area may also refer to a location in a medical image, or may refer to a location actually within a patient, which is not limited by embodiments of the present application. For ease of understanding, the surgical risk area is hereinafter considered to be a location in the medical image.
When the second position information is acquired, for example, the electronic device may acquire whole-body physiological tissue information of the target patient corresponding to the target focus in advance by a method of capturing a whole-body CT image or the like, and then determine the second position information of the second physiological tissue according to the position information of each physiological tissue in the whole-body physiological tissue information after the second physiological tissue is acquired.
It should be noted that, the second position information should be understood as a position range including positions of a plurality of pixels in the image, for example, the second physiological tissue is a branch vessel, and when the second position information is acquired through the whole body CT image, the second position information should refer to a corresponding position range of the branch vessel in the whole body CT image.
In step 204, there are three methods of determining the surgical risk area, including:
(A) And determining a surgical risk area according to the first position information of the target cutting edge area. For example, the area around the target incisal edge area may be selected as the surgical risk area according to a certain rule. For example, the target incised edge area may be expanded outward according to a preset expansion distance, and the newly increased expanded area may be used as the operation risk area.
(B) And determining a surgical risk area according to the second position information of the second physiological tissue. For example, the region corresponding to the second location information may be directly used as the operation risk region.
(C) And determining a surgical risk area according to the first position information and the second position information. In some embodiments, the region corresponding to the first location information and the region corresponding to the second location information may be used as the surgical risk region. In other embodiments, the distance between the second location of the second tissue and the first location of the target incisal edge area may be calculated, and then a target location with a closer distance among the second locations, i.e., the portion of the second tissue surrounding the target incisal edge area, may be selected, with the area corresponding to the first location, and the area corresponding to the target location, being the surgical risk area, or with the area corresponding to the target location being the surgical risk area. The method for judging the distance degree may be to compare the distance with a preset threshold, which is not described in detail.
After the operation risk area is obtained, the information of the operation risk area can be output to a target terminal for a doctor to refer to so as to judge whether the operation position needs to be adjusted or whether the operation is abandoned, and the target terminal can refer to a computer, a CT device and the like.
Alternatively, the electronic device may modify the actual surgical field based on the surgical risk area. For example, when the target incised edge area is an image area corresponding to the actual surgical area in the medical image, the target incised edge area may be modified according to the surgical risk area. For example, the average distance between the target cutting edge area and the operation risk area can be counted, if the average distance is smaller than the preset average distance threshold value, the operation risk area is close to the actual operation area, the target cutting edge area can be reduced, and the corrected actual operation area is obtained.
In summary, the method for determining a surgical risk area provided in the embodiment of the present application includes: acquiring a medical image and a target focus in the medical image; determining a target cutting edge region in the medical image according to the image position information of the target focus; acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue; and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
Therefore, according to the method for determining the surgical risk area provided by the embodiment of the application, the surgical risk area corresponding to the target focus can be determined according to at least one of the first position information and the second position information, and the risk information is provided for a doctor in the surgical process or before the surgery, so that the safety and the success rate of the surgery are improved.
In some embodiments, the target incised edge area may not only include an image area corresponding to the actual surgical area in the medical image, but also may be expanded to a certain area based on the image area, and the expanded newly added area is used as a part of the target incised edge area, so that the physiological tissue information in the newly added area may be used as reference information for correcting the actual surgical area. That is, "the target incisal edge area includes a first incisal edge area, which is an actual surgical area to be corrected, and a second incisal edge area for providing reference tissue information for correction.
For ease of understanding, the first and second cut edge regions are further described:
The first tangential region may refer to the image region divided by the preset distance as above.
The second tangential edge region may be a newly added region after the region expansion is performed outward based on the first tangential edge region.
The first incised edge area is different from the second incised edge area in that the first patient body area corresponding to the first incised edge area is an area that is necessarily required to be treated during the operation, and the second patient body area corresponding to the second incised edge area is an area that may be required to be treated during the operation. When the operation is performed, a first incised edge area which is theoretically required to be processed can be determined according to the rule of practitioners, the experience of doctors and the like, and then a second incised edge area is determined based on the first incised edge area.
It will be appreciated that depending on the size of the procedure, the physician may or may not perform the resection, dissection, etc. of the second patient's internal region during the procedure. For example, during surgery, if the physician finds that the actual extent of the target lesion "lung tumor tissue" is greater than the theoretical extent of the extent, the first patient interior region will no longer be suitable, the actual surgical area will be greater than the first patient interior region and will contain at least a portion of the second patient interior region. For another example, during surgery, if the physician finds that the actual extent of the target lesion "lung tumor tissue" is substantially the same as the theoretical extent of the spread, the first patient's in-vivo region may be adapted as the actual surgical region.
It can be seen that during the operation, the physiological tissue in the second incised edge area still has a risk of being damaged, and if the operation risk area is determined only according to the physiological tissue information in the first incised edge area, the actual operation area in the operation may not match with the internal area of the first patient, and the actual damaged physiological tissue is not prompted to the doctor, so that the safety of the operation is reduced.
In addition, even if the first patient body region corresponding to the first incised edge region is applied as an actual surgical region for the target tissue that is present in the second incised edge region but not present in the first incised edge region, there is still a possibility that the target tissue is damaged during the surgery because the second incised edge region is close to the actual surgical region.
Thus, to increase the safety of the procedure, all possibly damaged tissue information is provided to the physician, and the tissue information in the second incised edge area may be used to correct the actual surgical area.
It should be noted that, when the target cutting edge region includes a first cutting edge region and a second cutting edge region, the first cutting edge region and the second cutting edge region may be respectively identified by a preset identification model to obtain a first candidate physiological tissue in the first cutting edge region and a second candidate physiological tissue in the second cutting edge region, and the first candidate physiological tissue and the second candidate physiological tissue are respectively compared with a volume threshold value to determine the first physiological tissue.
In some embodiments, the second tangential edge region may be expanded based on the first tangential edge region by a predetermined expansion distance.
In other embodiments, the second cut edge region may be obtained by a predetermined expansion algorithm. Referring to fig. 3, at this time, the step of "determining a target cutting edge region in the medical image based on the image position information of the target lesion" includes:
301. and determining a first tangential region in the medical image according to the image position information of the target focus and the preset distance.
The method for determining the first tangential region may refer to the above, and detailed description thereof will be omitted.
302. And processing the region edge of the first cutting edge region through a preset expansion algorithm to obtain a newly added second cutting edge region.
The embodiments of the present application do not limit the expansion algorithm.
303. And taking the first cutting edge area and the second cutting edge area as target cutting edge areas.
After the operation risk area is obtained, the actual operation area to be corrected, namely the first incision area, can be corrected according to the operation risk area, and the corrected actual operation area is obtained. Namely, after the step of determining the surgical risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue, the method further comprises the following steps:
And correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target focus.
In the correction, the method described in step 204 may be adopted, and the first incision area may be narrowed according to the distance between the first incision area and the operation risk area, or a non-overlapping area between the first incision area and the operation risk area may be acquired, and the non-overlapping area may be used as an operation area corresponding to the target lesion. Referring to fig. 4, at this time, the step of "correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target lesion" includes:
401. and matching the position range information of the operation risk area with the position range information of the first incision area to obtain a target area which is not overlapped with the operation risk area in the first incision area.
402. And setting the target area as an operation area corresponding to the target focus.
The method provided in steps 401-402 has the following benefits relative to the method provided in step 204:
(i) The distance between the operation risk area and the first incision area is not required to be calculated, and the calculation amount is smaller.
(ii) When the electronic device screens the first physiological tissue according to the volume and obtains the second physiological tissue related to the first physiological tissue, there may be a second physiological tissue with a volume smaller than or equal to the volume threshold in the first incised edge area but a volume larger than the volume threshold in the second incised edge area, so by the method from step 401 to step 402, the corresponding area of the second physiological tissue in the first incised edge area can be excluded from the actual operation area, and the corresponding area is output to the doctor as a part of the operation risk area, thereby improving the accuracy of correction and the safety of operation. And the method provided in step 204 is less accurate than the methods provided in steps 401-402.
In some embodiments, in order to further improve the safety of the surgery, when the first physiological tissue is located in the first incisal area, a third physiological tissue associated with the second physiological tissue may be further acquired, and the surgery risk area corresponding to the target focus may be determined according to the first position information of the target incisal area and/or the third position information of the third physiological tissue. And when the first physiological tissue is positioned in the second incised edge area, determining an operation risk area corresponding to the target focus according to the first position information of the target incised edge area and/or the second position information of the second physiological tissue. At this time, after the step of acquiring the first physiological tissue in the target incisal edge area and the second physiological tissue associated with the first physiological tissue, the method further includes:
And (3.1) if the first physiological tissue is located in the first incisal area, acquiring a third physiological tissue associated with the second physiological tissue, and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal area and/or the third position information of the third physiological tissue.
The third tissue associated with the second tissue refers to the tissue described by the second tissue. For example, when the first tissue is a pulmonary vessel segment and the second tissue is a branch vessel described by the pulmonary vessel segment, the third tissue may be a main vessel described by the branch vessel.
The method for obtaining the third tissue may refer to the method for obtaining the second tissue, for example, the third tissue may be obtained through the whole body tissue information above, which is not described in detail.
When the first physiological tissue is located in the first incision area, the probability of the first physiological tissue being damaged during the operation is relatively high, so that in consideration of the fact that the first physiological tissue is damaged in a related manner, a third physiological tissue related to the second physiological tissue can be further acquired to prompt a doctor of all the physiological tissues which are easy to damage.
Specific methods for determining the surgical risk area may be referred to above, and detailed description thereof will be omitted.
And (3.2) if the first physiological tissue is located in the second incised edge area, executing the step of determining an operation risk area corresponding to the target focus according to the first position information of the target incised edge area and/or the second position information of the second physiological tissue.
When the first physiological tissue is located in the second incised edge area, the probability that the first physiological tissue is damaged in the operation process is relatively low, so that a third physiological tissue can not be acquired, the prompting information quantity is reduced, and confusion of doctors is avoided.
It should be noted that, if the first tissue includes both the fourth tissue located in the first incised area and the fifth tissue located in the second incised area, the step (3.1) may be performed on the fourth tissue, the step (3.2) may be performed on the fifth tissue, and the first operation risk area obtained in the step (3.1) and the second operation risk area obtained in the step (3.2) may be integrated to obtain a final operation risk area.
In other embodiments, for the first surgical risk area corresponding to the fourth physiological tissue and the second surgical risk area corresponding to the fifth physiological tissue, different display styles may be used for displaying in the target terminal. At this time, after the step of determining the surgical risk area corresponding to the target lesion according to the first position information of the target incised edge area and the second position information of the second physiological tissue, the method further includes:
(4.1) if the first physiological tissue is located in the first incision area, displaying the operation risk area in a target terminal in a preset first display mode;
wherein the first display style may be a visually distinct display style. For example, red may be used as a display color, and the first surgical risk area corresponding to the fourth tissue may be displayed in the target terminal.
(4.2) if the first physiological tissue is located in the second incised edge area, displaying the surgical risk area in a preset second display style in the target terminal.
Wherein the first display style may be a display style that is less visually apparent. For example, blue may be used as the display color, and a second surgical risk area corresponding to the fifth physiological tissue may be displayed in the target terminal.
In order to better implement the method for determining a surgical risk area in the embodiment of the present application, on the basis of the method for determining a surgical risk area, the embodiment of the present application further provides a device for determining a surgical risk area, as shown in fig. 5, which is a schematic structural diagram of an embodiment of the device for determining a surgical risk area in the embodiment of the present application, where the device 500 for determining a surgical risk area includes:
A first acquiring unit 501, configured to acquire a medical image, and a target lesion in the medical image;
a first determining unit 502, configured to determine a target cutting edge area in the medical image according to image position information of the target lesion;
a second acquiring unit 503 configured to acquire a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue;
a second determining unit 504, configured to determine a surgical risk area corresponding to the target lesion according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
In a possible implementation manner of the present application, the second obtaining unit 503 is further configured to:
performing identification processing on the target cutting edge region through a preset identification model to obtain a first physiological tissue in the target cutting edge region;
obtaining a target physiological tissue to which the first physiological tissue belongs, and taking the target physiological tissue as a second physiological tissue associated with the first physiological tissue.
In one possible implementation of the present application, the first physiological tissue is a pulmonary vessel segment in the target incisal region, and the second physiological tissue is a branch vessel to which the pulmonary vessel segment belongs.
In one possible implementation of the present application, the target incisal edge area includes a first incisal edge area and a second incisal edge area, the first incisal edge area being an actual surgical area to be corrected, the second incisal edge area being configured to provide reference tissue information for correction.
In a possible implementation manner of the present application, the first determining unit 502 is further configured to:
determining a first incision area in the medical image according to the image position information of the target focus and a preset distance;
processing the region edge of the first cutting edge region through a preset expansion algorithm to obtain a newly added second cutting edge region;
and taking the first cutting edge area and the second cutting edge area as target cutting edge areas.
In a possible implementation manner of the present application, the second determining unit 504 is further configured to:
and correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target focus.
In a possible implementation manner of the present application, the second determining unit 504 is further configured to:
matching the position range information of the operation risk area with the position range information of the first incision area to obtain a target area which is not overlapped with the operation risk area in the first incision area;
And setting the target area as an operation area corresponding to the target focus.
In a possible implementation manner of the present application, the second determining unit 504 is further configured to:
if the first physiological tissue is located in the first incisal edge area, acquiring a third physiological tissue associated with the second physiological tissue, and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the third position information of the third physiological tissue;
and if the first physiological tissue is located in the second incised edge area, executing the step of determining an operation risk area corresponding to the target focus according to the first position information of the target incised edge area and/or the second position information of the second physiological tissue.
In a possible implementation manner of the present application, the second determining unit 504 is further configured to:
if the first physiological tissue is located in the first incision area, displaying the operation risk area in a preset first display mode in a target terminal;
and if the first physiological tissue is located in the second incised edge area, displaying the operation risk area in a preset second display mode in the target terminal.
In one possible implementation of the present application, the target lesion is one of tumor tissue and a tissue of a anatomical variation.
In the implementation, each module may be implemented as an independent entity, or may be combined arbitrarily, and implemented as the same entity or several entities, and the implementation of each module may be referred to the foregoing method embodiment, which is not described herein again.
Since the surgical risk area determining device may perform the steps in the surgical risk area determining method in any embodiment, the beneficial effects that can be achieved by the surgical risk area determining method in any embodiment of the present application may be achieved, and detailed descriptions are omitted herein.
In addition, in order to better implement the method for determining a surgical risk area in the embodiment of the present application, on the basis of the method for determining a surgical risk area, the embodiment of the present application further provides an electronic device, referring to fig. 6, fig. 6 shows a schematic structural diagram of the electronic device in the embodiment of the present application, and specifically, the electronic device provided in the embodiment of the present application includes a processor 601, where the processor 601 is configured to implement each step of the method for determining a surgical risk area in any embodiment when executing a computer program stored in a memory 602; alternatively, the processor 601 is configured to implement the functions of the respective modules in the corresponding embodiment of fig. 5 when executing the computer program stored in the memory 602.
By way of example, a computer program may be partitioned into one or more modules/units that are stored in the memory 602 and executed by the processor 601 to accomplish the embodiments of the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program in a computer device.
The electronic device may include, but is not limited to, a processor 601, a memory 602. It will be appreciated by those skilled in the art that the illustrations are merely examples of electronic devices and are not limiting of electronic devices, and may include more or fewer components than illustrated, or may combine certain components, or different components.
The processor 601 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center for an electronic device, with various interfaces and lines connecting various parts of the overall electronic device.
The memory 602 may be used to store computer programs and/or modules, and the processor 601 implements various functions of the computer device by running or executing the computer programs and/or modules stored in the memory 602 and invoking data stored in the memory 602. The memory 602 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the electronic device, and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus, the electronic device and the corresponding modules for determining a surgical risk area described above may refer to the description of the method for determining a surgical risk area in any embodiment, and are not described herein in detail.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions or by controlling associated hardware, which may be stored on a readable storage medium and loaded and executed by a processor.
For this reason, the embodiments of the present application provide a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps in the method for determining a surgical risk area in any embodiment of the present application, and specific operations may refer to the description of the method for determining a surgical risk area in any embodiment, which is not described herein again.
Wherein the readable storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
Because the instructions stored in the readable storage medium may perform the steps in the method for determining a risk area for surgery in any embodiment of the present application, the beneficial effects that can be achieved by the method for determining a risk area for surgery in any embodiment of the present application can be achieved, which are described in detail in the foregoing description and are not repeated herein.
The above description of the method, the device, the storage medium and the electronic apparatus for determining a surgical risk area provided by the embodiments of the present application has been provided in detail, and specific examples are applied herein to illustrate the principles and embodiments of the present application, where the above description of the embodiments is only for helping to understand the method and the core idea of the present application; meanwhile, those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, and the present description should not be construed as limiting the present application in view of the above.
Claims (13)
1. A method of determining a surgical risk area, comprising:
acquiring a medical image and a target focus in the medical image;
determining a target cutting edge region in the medical image according to the image position information of the target focus;
acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue;
and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
2. The surgical risk area determination method of claim 1, wherein the acquiring a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue comprises:
performing identification processing on the target cutting edge region through a preset identification model to obtain a first physiological tissue in the target cutting edge region;
obtaining a target physiological tissue to which the first physiological tissue belongs, and taking the target physiological tissue as a second physiological tissue associated with the first physiological tissue.
3. The surgical risk area determination method according to claim 2, wherein the first physiological tissue is a pulmonary vessel segment in the target incisal edge area, and the second physiological tissue is a branch vessel to which the pulmonary vessel segment belongs.
4. The surgical risk area determination method according to claim 1, wherein the target incised edge area includes a first incised edge area and a second incised edge area, the first incised edge area being an actual surgical area to be corrected, the second incised edge area being for providing reference tissue information for correction.
5. The method of claim 4, wherein determining a target incisal edge area in the medical image based on image location information of the target lesion comprises:
Determining a first incision area in the medical image according to the image position information of the target focus and a preset distance;
processing the region edge of the first cutting edge region through a preset expansion algorithm to obtain a newly added second cutting edge region;
and taking the first cutting edge area and the second cutting edge area as target cutting edge areas.
6. The method according to claim 4, wherein after determining the surgical risk area corresponding to the target lesion according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue, further comprises:
and correcting the first incision area according to the position range information of the operation risk area to obtain an operation area corresponding to the target focus.
7. The method for determining a surgical risk area according to claim 6, wherein the correcting the first incision area according to the position range information of the surgical risk area to obtain the surgical area corresponding to the target lesion includes:
matching the position range information of the operation risk area with the position range information of the first incision area to obtain a target area which is not overlapped with the operation risk area in the first incision area;
And setting the target area as an operation area corresponding to the target focus.
8. The surgical risk area determination method of claim 4, wherein after the acquiring the first physiological tissue in the target incisal edge area and the second physiological tissue associated with the first physiological tissue, further comprising:
if the first physiological tissue is located in the first incisal edge area, acquiring a third physiological tissue associated with the second physiological tissue, and determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the third position information of the third physiological tissue;
and if the first physiological tissue is located in the second incised edge area, executing the step of determining an operation risk area corresponding to the target focus according to the first position information of the target incised edge area and/or the second position information of the second physiological tissue.
9. The method for determining a surgical risk area according to claim 8, wherein after determining a surgical risk area corresponding to the target lesion according to the first position information of the target incisal edge area and the second position information of the second physiological tissue, further comprises:
If the first physiological tissue is located in the first incision area, displaying the operation risk area in a preset first display mode in a target terminal;
and if the first physiological tissue is located in the second incised edge area, displaying the operation risk area in a preset second display mode in the target terminal.
10. The surgical risk area determination method of any one of claims 1-9, wherein the target lesion is one of tumor tissue and a tissue of anatomical variation.
11. A surgical risk area determination apparatus, comprising:
a first acquisition unit configured to acquire a medical image, and a target lesion in the medical image;
a first determining unit configured to determine a target cutting edge region in the medical image according to image position information of the target lesion;
a second acquisition unit configured to acquire a first physiological tissue in the target incisal edge area and a second physiological tissue associated with the first physiological tissue;
and the second determining unit is used for determining an operation risk area corresponding to the target focus according to the first position information of the target incisal edge area and/or the second position information of the second physiological tissue.
12. An electronic device comprising a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps in the surgical risk area determination method according to any one of claims 1 to 10 when the computer program is executed by the processor.
13. A readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the method for determining a surgical risk area according to any one of claims 1 to 10.
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