CN113069076B - Scoliosis measurement method based on three-dimensional modeling - Google Patents
Scoliosis measurement method based on three-dimensional modeling Download PDFInfo
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Abstract
The invention provides a scoliosis measurement method based on three-dimensional modeling, which comprises the steps of determining a region to be measured by constructing a three-dimensional model of the back of a human body and shooting images of the back of the human body, combining the three-dimensional model with the region to be measured to obtain three-dimensional surface data of the back of the human body, and finally obtaining bending parameters of the front side and/or the rear side of the human body and a torsion state corresponding to backbone bones of the human body based on the three-dimensional surface data.
Description
Technical Field
The invention relates to the technical field of ergonomic measurement, in particular to a scoliosis measurement method based on three-dimensional modeling.
Background
Due to the effects of factors such as irregular sitting posture or standing posture, the human body is easy to generate scoliosis. If the scoliosis degree of the human body is serious, normal walking and sleeping of the human body can be affected, and organs of the human body can be pressed, so that the body health of the human body is damaged. In the prior art, the posture distribution of the human spine bone is obtained by an X-ray scanning shooting mode, but the mode only can qualitatively judge whether the human spine is bent sideways or not, and the degree of the lateral bending of the human spine, the torsion angle and offset displacement of each spine bone cannot be accurately determined, so that the accuracy and the comprehensiveness of scoliosis measurement are seriously affected, and the reliability of the scoliosis measurement result is reduced.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a scoliosis measurement method based on three-dimensional modeling, which comprises the steps of constructing a three-dimensional model of the back of a human body, adopting the same visual angle to collect images of the back of the human body, determining a region to be measured corresponding to the back of the human body according to the images of the back of the human body, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model to obtain three-dimensional surface data of the back of the human body, obtaining a space curve corresponding to human spinal vertebrae according to the three-dimensional surface data, analyzing the space curve to obtain a characteristic curve representing the scoliosis state of the human body, analyzing the characteristic curve to obtain bending parameters of the front side and/or the back side of the human body and analyzing the three-dimensional surface data to determine the torsion state corresponding to the spinal bones of the human body; therefore, the scoliosis measuring method based on the three-dimensional modeling is used for determining the region to be measured by constructing a three-dimensional model of the back of the human body and shooting images of the back of the human body, then combining the three-dimensional model with the region to be measured to obtain three-dimensional surface data of the back of the human body, finally obtaining bending parameters of the front side and/or the rear side of the human body and a torsion state corresponding to bones of the spine of the human body based on the three-dimensional surface data, and carrying out fine analysis on the spine of the human body in a three-dimensional modeling mode, so that the scoliosis angle and the torsion state of each section of spine of the human body can be comprehensively and accurately determined, and the reliability and the effectiveness of measuring the scoliosis of the human body are improved.
The invention provides a scoliosis measurement method based on three-dimensional modeling, which is characterized by comprising the following steps of:
step S1, constructing a three-dimensional model of the back of a human body, acquiring images of the back of the human body by adopting the same visual angle, and determining a region to be measured corresponding to the back of the human body according to the images of the back of the human body;
s2, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, so as to obtain three-dimensional surface data of the back of the human body, and obtaining a space curve corresponding to the vertebra of the human body according to the three-dimensional surface data;
s3, analyzing the space curve to obtain a characteristic curve representing the scoliosis state of the human body;
s4, analyzing the characteristic curve to obtain bending parameters of the front side and/or the rear side of the human body;
s5, analyzing the three-dimensional surface data so as to determine the torsion state corresponding to the human spine bone;
further, in the step S1, constructing a three-dimensional model of the back of the human body specifically includes:
step S101A, carrying out structural light scanning on the back of the human body of the target object so as to obtain the information of the reflected light intensity distribution of the structural light by the back of the human body of the target object;
step S102A, determining three-dimensional shape data of the back of the human body of the target object according to the reflected light intensity distribution information;
step S103A, constructing and obtaining a three-dimensional model of the back of the human body according to the three-dimensional shape data of the back of the human body;
further, in the step S1, capturing an image of the back of the human body, and determining, according to the image of the back of the human body, a region to be measured corresponding to the back of the human body specifically includes:
step S101B, taking a picture of the back of the human body at the same visual angle as the scanning direction of the structured light, so as to obtain a corresponding back image;
step S102B, recognizing the distribution position of the human spine in the back image, analyzing the distribution position to obtain the image characteristics of the spine midline in the back image in a machine learning mode, and recognizing and obtaining the spine midline in the back image according to the image characteristics;
step S103B, a region which is covered by the left and right symmetrical expansion preset width of the spine midline in the back image is identified to be used as a region to be measured corresponding to the back of the human body, wherein the region covered by the expansion preset width comprises muscle high points on the left and right sides of the spine midline of the human body, and the preset width is 50-200 mm;
further, in the step S2, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, so as to obtain three-dimensional surface data of the back of the human body specifically includes:
overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, and cutting and removing three-dimensional data outside the overlapping region of the projection according to the result of the overlapping treatment, so as to obtain three-dimensional surface data of the back of the human body;
further, in the step S2, according to the three-dimensional surface data, obtaining a space curve corresponding to the human vertebra specifically includes:
step S201, carrying out horizontal slicing on the three-dimensional surface data by taking each section of human spine as an independent layer, so as to obtain 26 horizontal sections corresponding to the three-dimensional surface data;
step S202, determining a profile outer edge curve corresponding to each horizontal profile, and determining a curve extreme point corresponding to the profile outer edge curve, thereby taking the curve extreme point as a spine center point of a spine of a human body where the horizontal profile is located;
step S203, sequentially connecting the spine center points corresponding to all the human spines into a smooth curve, so as to obtain a space curve of the skin surface behind the spine of the human spines;
further, in the step S3, the step of analyzing the spatial curve to obtain a characteristic curve representing a scoliosis state of the human body specifically includes:
step S301, the space curves are respectively projected on a preset coronal plane and a preset sagittal plane, so that a coronal plane human scoliosis state evaluation curve and a sagittal plane human scoliosis state evaluation curve are correspondingly obtained, and the space curves are used as characteristic curves for representing human scoliosis states;
step S302, performing curve smoothing treatment on the coronal human scoliosis state evaluation curve and the sagittal human scoliosis state evaluation curve respectively;
further, in the step S4, the characteristic curve is analyzed, so that the bending parameters of the front side and/or the rear side of the human body specifically include:
step S401, analyzing the coronal human scoliosis state evaluation curve subjected to curve smoothing treatment, so as to obtain a human scoliosis angle;
step S402, analyzing the sagittal plane human scoliosis state evaluation curve subjected to curve smoothing treatment, so as to obtain at least one of human thoracic vertebra curvature, human lumbar vertebra curvature, lateral offset of the spine and vertical line distance of adjacent spines;
further, in the step S401, analyzing the coronal human scoliosis state evaluation curve subjected to the curve smoothing process, so as to obtain a human scoliosis angle specifically includes:
calculating a curvature value of each inflection point corresponding to the coronal human scoliosis state evaluation curve subjected to curve smoothing treatment, determining a maximum curvature value, and taking a scoliosis angle at the inflection point corresponding to the maximum curvature value as the human scoliosis angle;
further, in the step S5, analyzing the three-dimensional surface data, so as to determine a torsion state corresponding to the human spine bone specifically includes:
step S501, analyzing the three-dimensional surface data by taking each section of human spine as an independent layer, so as to determine node positions of the characteristic curve of the human spine lateral bending state corresponding to 26 spine nodes and tangential directions tangential to the node positions, obtaining a plane perpendicular to the tangential directions and containing space points where the node positions are located, and then slicing the three-dimensional surface data by utilizing the plane, thereby obtaining 26 sections corresponding to the three-dimensional surface data;
step S502, determining a profile outer edge curve corresponding to each profile, and determining torsion tangents passing through muscle high points corresponding to the left side and the right side of each human spine, thereby respectively obtaining 26 groups of torsion tangents;
step S503, according to the tangential direction tangent to each node position in the characteristic curve of the human scoliosis state and the included angle between the perpendicular lines perpendicular to the tangential direction and passing through the space point where the node position is located, performing space rotation on each group of torsion tangents, so that the torsion tangents are located in a horizontal plane after space rotation; and then, projecting all the torsion tangents contained in the torsion tangent set on the same horizontal plane, thereby obtaining 26 tangent projection lines, and finally, taking the relative included angle between every two of the 26 tangent projection lines as the torsion angle of the corresponding human spine bone.
Compared with the prior art, the scoliosis measurement method based on three-dimensional modeling is characterized in that a three-dimensional model of the back of a human body is constructed, images of the back of the human body are acquired by adopting the same visual angle, a region to be measured corresponding to the back of the human body is determined according to the images of the back of the human body, the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model are subjected to overlapping treatment, so that three-dimensional surface data of the back of the human body are obtained, a space curve corresponding to human spinal vertebrae is obtained according to the three-dimensional surface data, the space curve is analyzed, so that a characteristic curve representing the scoliosis state of the human body is obtained, bending parameters of the front side and/or the rear side of the human body are obtained, the three-dimensional surface data are analyzed, and the torsion state corresponding to human spinal bones is determined; therefore, the scoliosis measuring method based on the three-dimensional modeling is used for determining the region to be measured by constructing a three-dimensional model of the back of the human body and shooting images of the back of the human body, then combining the three-dimensional model with the region to be measured to obtain three-dimensional surface data of the back of the human body, finally obtaining bending parameters of the front side and/or the rear side of the human body and a torsion state corresponding to bones of the spine of the human body based on the three-dimensional surface data, and carrying out fine analysis on the spine of the human body in a three-dimensional modeling mode, so that the scoliosis angle and the torsion state of each section of spine of the human body can be comprehensively and accurately determined, and the reliability and the effectiveness of measuring the scoliosis of the human body are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a scoliosis measurement method based on three-dimensional modeling.
Fig. 2 is a schematic diagram of a region to be measured corresponding to the back of a human body in the scoliosis measurement method based on three-dimensional modeling.
Fig. 3 is a schematic diagram of spatial distribution of different horizontal sections in the scoliosis measurement method based on three-dimensional modeling.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of a scoliosis measurement method based on three-dimensional modeling according to an embodiment of the present invention is shown. The scoliosis measurement method based on three-dimensional modeling comprises the following steps:
step S1, constructing a three-dimensional model of the back of a human body, acquiring images of the back of the human body by adopting the same visual angle, and determining a region to be measured corresponding to the back of the human body according to the images of the back of the human body;
s2, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, so as to obtain three-dimensional surface data of the back of the human body, and obtaining a space curve corresponding to the vertebra of the human body according to the three-dimensional surface data;
s3, analyzing the space curve to obtain a characteristic curve representing the scoliosis state of the human body;
s4, analyzing the characteristic curve to obtain bending parameters of the front side and/or the rear side of the human body;
s5, analyzing the three-dimensional surface data to determine the torsion state corresponding to the human spine bone
The beneficial effects of the technical scheme are as follows: according to the scoliosis measuring method based on the three-dimensional modeling, a to-be-measured area is determined by constructing a three-dimensional model of the back of a human body and shooting images of the back of the human body, then three-dimensional surface data of the back of the human body are obtained by combining the three-dimensional model with the to-be-measured area, finally bending parameters of the front side and/or the back side of the human body and torsion states corresponding to bones of the spine of the human body are obtained on the basis of the three-dimensional surface data, the spine of the human body is subjected to fine analysis in a three-dimensional modeling mode, so that the scoliosis angle and the torsion states of each section of spine of the human body can be comprehensively and accurately determined, and the reliability and the effectiveness of measuring the scoliosis of the human body are improved.
Preferably, in the step S1, constructing a three-dimensional model of the back of the human body specifically includes:
step S101A, carrying out structural light scanning on the back of the human body of the target object so as to obtain the information of the reflected light intensity distribution of the structural light by the back of the human body of the target object;
step S102A, determining three-dimensional shape data of the back of the human body of the target object according to the light intensity distribution information of the reflected light;
step S103A, constructing and obtaining a three-dimensional model of the back of the human body according to the three-dimensional shape data of the back of the human body.
The beneficial effects of the technical scheme are as follows: by scanning the structural light on the back of the human body of the target object, as the surface profile of the back of the human body is not smooth, but has the surface profile with the relief, after the structural light reaches the back of the human body, the reflectivity of the back of the human body to the structural light is different, so that the back of the human body presents an uneven state to the light intensity distribution of the reflected light of the structural light, and the three-dimensional profile data of the back of the human body of the target object can be accurately determined by analyzing the light intensity distribution information of the reflected light, thereby being convenient for effectively and quickly constructing and obtaining the three-dimensional model of the back of the human body.
Preferably, in the step S1, capturing an image of the back of the human body, and determining, according to the image of the back of the human body, a region to be measured corresponding to the back of the human body specifically includes:
step S101B, taking a picture of the back of the human body at the same visual angle as the scanning direction of the structured light, thereby obtaining a corresponding back image;
step S102B, the distribution position of the human spine in the back image is identified, the image characteristics of the spine midline in the back image are obtained through analysis in a machine learning mode, and then the spine midline in the back image is identified according to the image characteristics;
step S103B, a region covered by a left and right symmetrical expansion preset width of the spine midline in the back image is identified to be used as a region to be measured corresponding to the back of the human body, wherein the region covered by the expansion preset width comprises muscle high points on the left and right sides of the spine midline of the human body, and the preset width is 50-200 mm; preferably, the preset width can be adjusted according to specific characteristics of different human backs, the preset width in the cervical vertebra region can be narrower, and the preset width in the thoracic vertebra region or the lumbar vertebra region can be wider.
The beneficial effects of the technical scheme are as follows: by taking a picture of the back of the human body at the same visual angle as the scanning direction of the structured light, an image of the back of the human body can be quickly and accurately generated, and then the three-dimensional image is identified, so that the distribution position of the spine of the human body can be determined. Referring specifically to fig. 2, in fig. 2, the middle line represents a trend curve corresponding to the spine of the human body, the lines on the left and right sides represent a high-point muscle trace curve passing through the left and right sides of the spine of the human body, and the distance between the left line or the right line and the middle line is 50mm-200mm, so that the area between the left line and the right line is recorded as the area to be measured.
Preferably, in the step S2, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, so as to obtain three-dimensional surface data of the back of the human body specifically includes:
and overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, and cutting and removing the three-dimensional data outside the projection overlapping region according to the result of the overlapping treatment, thereby obtaining the three-dimensional surface data of the back of the human body.
The beneficial effects of the technical scheme are as follows: according to the result of the overlapping processing, the three-dimensional data outside the projection overlapping area is cut and removed, and useless data in the three-dimensional data can be effectively removed, so that the reliability of the three-dimensional surface data is greatly improved.
Preferably, in the step S2, the obtaining a space curve corresponding to the human vertebra according to the three-dimensional surface data specifically includes:
step S201, carrying out horizontal slicing on the three-dimensional surface data by taking each section of human spine as an independent layer, so as to obtain 26 horizontal sections corresponding to the three-dimensional surface data;
step S202, determining a profile outer edge curve corresponding to each horizontal profile, and determining a curve extreme point corresponding to the profile outer edge curve, thereby taking the curve extreme point as a spine center point of a section of human spine where the horizontal profile is located;
step S203, sequentially connecting the spine center points corresponding to all the human spines into a smooth curve, thereby obtaining a space curve of the skin surface behind the spine of the human spines.
The beneficial effects of the technical scheme are as follows: taking each section of spine of the human body as an independent layer, so that the three-dimensional surface data is subjected to horizontal slicing treatment, and the three-dimensional surface data is divided into 26 horizontal sections, and the distribution situation of the 26 horizontal sections is shown in figure 3; the profile outer edge curve corresponding to each horizontal profile is in a wavy bending shape, and the curve extreme points (usually curve minimum points) corresponding to each profile outer edge curve are determined, and then the spine center points corresponding to all human spines are sequentially connected into smooth curves, so that the space curve of the skin surface behind the spine of the human spine is obtained, wherein the curve in the middle area in fig. 3 is the space curve of the skin surface behind the spine of the corresponding human spine, and the accuracy and the reliability of the determination of the space curve of the skin surface behind the spine of the human spine can be improved.
Preferably, in the step S3, the spatial curve is analyzed, so as to obtain a characteristic curve representing a scoliosis state of the human body, which specifically includes:
step S301, the space curve is respectively projected on a preset coronal plane and a preset sagittal plane, so that a coronal plane human scoliosis state evaluation curve and a sagittal plane human scoliosis state evaluation curve are correspondingly obtained, and the space curve is used as a characteristic curve for representing the human scoliosis state;
step S302, performing curve smoothing processing on the coronal human scoliosis state evaluation curve and the sagittal human scoliosis state evaluation curve respectively.
The beneficial effects of the technical scheme are as follows: the preset coronal plane and the preset sagittal plane are two different characteristic planes corresponding to the back of the human body, and the preset coronal plane and the preset sagittal plane are two common characteristic planes for scoliosis measurement, which are prior art in the field and are not further described herein; the space curve is projected on a preset coronal plane and a preset sagittal plane respectively, so that a coronal plane human scoliosis state evaluation curve and a sagittal plane human scoliosis state evaluation curve are obtained, the scoliosis state of the human spine can be represented on two different plane dimensions, and the comprehensiveness of representing and measuring the scoliosis state of the human spine is improved.
Preferably, in the step S4, the characteristic curve is analyzed, so that the bending parameters of the front side and/or the rear side of the human body include:
step S401, analyzing the coronal human scoliosis state evaluation curve subjected to curve smoothing treatment, so as to obtain a human scoliosis angle;
and step S402, analyzing the sagittal plane human scoliosis state evaluation curve subjected to curve smoothing treatment, so as to obtain at least one of human thoracic vertebra curvature, human lumbar vertebra curvature, lateral deflection of the spine and vertical line distance of adjacent spines.
The beneficial effects of the technical scheme are as follows: by respectively analyzing the coronal human scoliosis state evaluation curve and the sagittal human scoliosis state evaluation curve, the corresponding scoliosis state of the back of the human body, particularly the human spine, and the physiological curvature state of the front side/rear side of the human body can be obtained, so that different index parameters of the human scoliosis are comprehensively determined, wherein the calculation processes of the human thoracic spine curvature, the human lumbar spine curvature, the lateral offset of the spine and the distance between the vertical lines of the adjacent spines belong to the prior art, and no further tiring is done here.
Preferably, in the step S401, analyzing the coronal human scoliosis state evaluation curve subjected to the curve smoothing process, so as to obtain a human scoliosis angle specifically includes:
and calculating a curvature value of each inflection point corresponding to the coronal human scoliosis state evaluation curve subjected to curve smoothing treatment, determining a maximum curvature value, and taking the scoliosis angle at the inflection point corresponding to the maximum curvature value as the human scoliosis angle.
The beneficial effects of the technical scheme are as follows: through the steps of the calculation process, the side bending angle of the human spine can be calculated rapidly and accurately, so that the calculation accuracy of the side bending angle of the human spine is improved greatly.
Preferably, in the step S5, the analyzing the three-dimensional surface data to determine the torsion state corresponding to the human spine bone specifically includes:
step S501, analyzing the three-dimensional surface data by taking each section of human spine as an independent layer, determining the node positions of the characteristic curve of the human spine lateral bending state corresponding to 26 spine nodes and the tangential direction tangential to the node positions, obtaining a plane perpendicular to the tangential direction and containing a space point where the node positions are located, and then slicing the three-dimensional surface data by utilizing the plane, thereby obtaining 26 sections corresponding to the three-dimensional surface data;
step S502, determining a profile outer edge curve corresponding to each profile, and determining torsion tangents passing through muscle high points corresponding to the left side and the right side of each human spine, thereby respectively obtaining 26 groups of torsion tangents;
step S503, according to the tangential direction tangent to each node position in the characteristic curve of the human scoliosis state and the included angle between the perpendicular lines perpendicular to the tangential direction and passing through the space point where the node position is located, performing space rotation on each group of torsion tangents so that the torsion tangents are located in a horizontal plane after space rotation; and then, all the torsion tangents contained in the torsion tangents set are projected on the same horizontal plane, so that 26 tangent projection lines are obtained, and finally, the relative included angle between every two of the 26 tangent projection lines is used as the torsion angle of the corresponding human spine bone.
The beneficial effects of the technical scheme are as follows: through the calculation process, the torsion angle of each section of the spine of the human body can be calculated rapidly and accurately, so that the calculation accuracy of the torsion angle of the spine of the human body is improved greatly.
As can be seen from the foregoing embodiments, the scoliosis measurement method based on three-dimensional modeling includes constructing a three-dimensional model of a back of a human body, collecting an image of the back of the human body with the same view angle, determining a region to be measured corresponding to the back of the human body according to the image of the back of the human body, overlapping the three-dimensional model of the back of the human body and a projection of the region to be measured on the three-dimensional model, thereby obtaining three-dimensional surface data of the back of the human body, obtaining a space curve corresponding to a vertebra of the human body according to the three-dimensional surface data, analyzing the space curve, thereby obtaining a characteristic curve representing a scoliosis state of the human body, analyzing the characteristic curve, thereby obtaining bending parameters of a front side and/or a back side of the human body, and analyzing the three-dimensional surface data, thereby determining a torsion state corresponding to the vertebra of the human body; therefore, the scoliosis measuring method based on the three-dimensional modeling is used for determining the region to be measured by constructing a three-dimensional model of the back of the human body and shooting images of the back of the human body, then combining the three-dimensional model with the region to be measured to obtain three-dimensional surface data of the back of the human body, finally obtaining bending parameters of the front side and/or the rear side of the human body and a torsion state corresponding to bones of the spine of the human body based on the three-dimensional surface data, and carrying out fine analysis on the spine of the human body in a three-dimensional modeling mode, so that the scoliosis angle and the torsion state of each section of spine of the human body can be comprehensively and accurately determined, and the reliability and the effectiveness of measuring the scoliosis of the human body are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The scoliosis measurement method based on three-dimensional modeling is characterized by comprising the following steps of:
step S1, constructing a three-dimensional model of the back of a human body, acquiring images of the back of the human body by adopting the same visual angle, and determining a region to be measured corresponding to the back of the human body according to the images of the back of the human body;
s2, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, so as to obtain three-dimensional surface data of the back of the human body, and obtaining a space curve corresponding to the vertebra of the human body according to the three-dimensional surface data;
s3, analyzing the space curve to obtain a characteristic curve representing the scoliosis state of the human body;
s4, analyzing the characteristic curve to obtain bending parameters of the front side and/or the rear side of the human body;
s5, analyzing the three-dimensional surface data so as to determine the torsion state corresponding to the human spine bone;
in the step S5, the analyzing the three-dimensional surface data, so as to determine the torsion state corresponding to the human spine bone specifically includes:
step S501, analyzing the three-dimensional surface data by taking each section of human spine as an independent layer, so as to determine node positions of the characteristic curve of the human spine lateral bending state corresponding to 26 spine nodes and tangential directions tangential to the node positions, obtaining a plane perpendicular to the tangential directions and containing space points where the node positions are located, and then slicing the three-dimensional surface data by utilizing the plane, thereby obtaining 26 sections corresponding to the three-dimensional surface data;
step S502, determining a profile outer edge curve corresponding to each profile, and determining torsion tangents passing through muscle high points corresponding to the left side and the right side of each human spine, thereby respectively obtaining 26 groups of torsion tangents;
step S503, according to the tangential direction tangent to each node position in the characteristic curve of the human scoliosis state and the included angle between the perpendicular lines perpendicular to the tangential direction and passing through the space point where the node position is located, performing space rotation on each group of torsion tangents, so that the torsion tangents are located in a horizontal plane after space rotation; and then, projecting all the torsion tangents contained in the torsion tangent set on the same horizontal plane, thereby obtaining 26 tangent projection lines, and finally, taking the relative included angle between every two of the 26 tangent projection lines as the torsion angle of the corresponding human spine bone.
2. The three-dimensional modeling-based scoliosis measurement method according to claim 1, wherein:
in the step S1, the construction of the three-dimensional model of the back of the human body specifically includes:
step S101A, carrying out structural light scanning on the back of the human body of the target object so as to obtain the information of the reflected light intensity distribution of the structural light by the back of the human body of the target object;
step S102A, determining three-dimensional shape data of the back of the human body of the target object according to the reflected light intensity distribution information;
step S103A, constructing and obtaining a three-dimensional model of the back of the human body according to the three-dimensional shape data of the back of the human body.
3. The three-dimensional modeling-based scoliosis measurement method according to claim 2, wherein:
in the step S1, capturing an image of the back of the human body, and determining, according to the image of the back of the human body, a region to be measured corresponding to the back of the human body specifically includes:
step S101B, taking a picture of the back of the human body at the same visual angle as the scanning direction of the structured light, so as to obtain a corresponding back image;
step S102B, recognizing the distribution position of the human spine in the back image, analyzing the distribution position to obtain the image characteristics of the spine midline in the back image in a machine learning mode, and recognizing and obtaining the spine midline in the back image according to the image characteristics;
and step 103B, the area covered by the left and right symmetrical expansion preset width of the spine midline in the back image is identified to be used as the area to be measured corresponding to the back of the human body, wherein the area covered by the expansion preset width comprises muscle high points on the left and right sides of the spine midline of the human body, and the preset width is 50-200 mm.
4. A method for measuring scoliosis based on three-dimensional modeling as defined in claim 3, wherein:
in the step S2, overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, so as to obtain three-dimensional surface data of the back of the human body specifically includes:
and overlapping the three-dimensional model of the back of the human body and the projection of the region to be measured on the three-dimensional model, and cutting and removing the three-dimensional data outside the overlapping region of the projection according to the result of the overlapping treatment, so as to obtain the three-dimensional surface data of the back of the human body.
5. The three-dimensional modeling-based scoliosis measurement method according to claim 4, wherein:
in the step S2, according to the three-dimensional surface data, obtaining a space curve corresponding to the human vertebra specifically includes:
step S201, carrying out horizontal slicing on the three-dimensional surface data by taking each section of human spine as an independent layer, so as to obtain 26 horizontal sections corresponding to the three-dimensional surface data;
step S202, determining a profile outer edge curve corresponding to each horizontal profile, and determining a curve extreme point corresponding to the profile outer edge curve, thereby taking the curve extreme point as a spine center point of a spine of a human body where the horizontal profile is located;
step S203, sequentially connecting the spine center points corresponding to all the human spines into a smooth curve, thereby obtaining a space curve of the skin surface behind the spine of the human spines.
6. The three-dimensional modeling-based scoliosis measurement method according to claim 1, wherein:
in the step S3, the step of analyzing the spatial curve to obtain a characteristic curve representing a scoliosis state of the human body specifically includes:
step S301, the space curves are respectively projected on a preset coronal plane and a preset sagittal plane, so that a coronal plane human scoliosis state evaluation curve and a sagittal plane human scoliosis state evaluation curve are correspondingly obtained, and the space curves are used as characteristic curves for representing human scoliosis states;
step S302, performing curve smoothing processing on the coronal human scoliosis state evaluation curve and the sagittal human scoliosis state evaluation curve respectively.
7. The three-dimensional modeling-based scoliosis measurement method of claim 6, wherein:
in the step S4, the characteristic curve is analyzed, so that the bending parameters of the front side and/or the rear side of the human body are obtained specifically including:
step S401, analyzing the coronal human scoliosis state evaluation curve subjected to curve smoothing treatment, so as to obtain a human scoliosis angle;
and step S402, analyzing the sagittal plane human scoliosis state evaluation curve subjected to curve smoothing treatment, so as to obtain at least one of human thoracic vertebra curvature, human lumbar vertebra curvature, lateral deflection of the spine and vertical line distance of adjacent spines.
8. The three-dimensional modeling-based scoliosis measurement method of claim 7, wherein:
in the step S401, analyzing the coronal human scoliosis state evaluation curve subjected to the curve smoothing process, so as to obtain a human scoliosis angle specifically includes:
and calculating a curvature value of each inflection point corresponding to the coronal human scoliosis state evaluation curve subjected to curve smoothing treatment, determining a maximum curvature value, and taking a scoliosis angle at the inflection point corresponding to the maximum curvature value as the human scoliosis angle.
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