CN112294453A - Microsurgery surgical field three-dimensional reconstruction system and method - Google Patents
Microsurgery surgical field three-dimensional reconstruction system and method Download PDFInfo
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Abstract
A microsurgery surgical field three-dimensional reconstruction system and a method thereof are disclosed, wherein pattern information of a measured scene is collected through a visible light viewpoint collecting unit; collecting an infrared speckle pattern of a measured scene through an infrared light viewpoint collecting unit; and controlling the shooting of the visible light viewpoint acquisition unit and the infrared light viewpoint acquisition unit by adopting a three-dimensional reconstruction calculation control unit, and carrying out information fusion on the patterns obtained by the visible light viewpoint acquisition unit and the patterns obtained by the infrared viewpoint acquisition unit to obtain a three-dimensional reconstruction result. According to the technical scheme, a multi-view point joint optimization and infrared speckle-based object surface texture enhancement mechanism is introduced into high-precision three-dimensional reconstruction, the appearance structure of the operation field can be accurately obtained by designing the structures of the infrared photosensitive element and the speckle projector, and the appearance structure is used as a three-dimensional reconstruction model under the operation field prior optimization visible light, so that the three-dimensional reconstruction precision under a microscope is improved on the basis of not influencing a main light path of the microscope.
Description
Technical Field
The invention relates to the technical field of microstereoscopy imaging, in particular to a microsurgical field three-dimensional reconstruction system and a microsurgical field three-dimensional reconstruction method.
Background
The microscope is a commonly used auxiliary device in a surgical fine operation, and a doctor can clearly see the fine tissues of a human body in an operation field by virtue of the amplification effect of the microscope, so that the patient is finely treated. In recent years, the three-dimensional reconstruction technology of the operative field (operative field) area is regarded by researchers in the medical imaging field, and compared with the traditional CT/MRI imaging technology, the visual-based image reconstruction technology can see the color textures on the surface of the operative field, can provide more visual three-dimensional visual perception experience for doctors, can also carry out digital measurement on the operative field by means of the visual three-dimensional reconstruction result, and provides intraoperative guidance for the doctors, so that the three-dimensional reconstruction technology has great application value.
For the three-dimensional reconstruction problem of the operation area, the existing methods are roughly divided into two types. One is a method based on binocular stereovision, which reconstructs the operating area three-dimensionally by means of parallax generated by a microscope dual optical path, often only reconstructing the area within a limited viewing angle. In addition, the scene under the microscope has its special aspect compared to other visual fields. The surgical field area has a large number of specular reflection areas under the irradiation of a microscope illumination light source, and a large number of non-texture areas exist in the surgical field area, and these factors often cause the result of a stereo matching algorithm to be poor, and finally cause the result of three-dimensional reconstruction to be difficult to use in clinic. The other is a structured light three-dimensional reconstruction method, such as a single-frame structured light and a multi-frame structured light, although the reconstruction precision of the structured light is high, the structured light method needs to introduce an expensive structured light projector, and the method is time-consuming and difficult to use in real time in clinic. In summary, a new technical scheme for performing three-dimensional reconstruction of a microsurgical field is urgently needed.
Disclosure of Invention
Therefore, the invention provides a microsurgical operation field three-dimensional reconstruction system and a microsurgical operation field three-dimensional reconstruction method, which are used for realizing multi-view high-precision operation field three-dimensional reconstruction and solving the problem of failure of three-dimensional reconstruction of a specular reflection area and a texture-free area in an operation area.
In order to achieve the above purpose, the invention provides the following technical scheme: a microsurgical field three-dimensional reconstruction system, comprising:
visible light viewpoint acquisition unit: the system comprises a pattern information acquisition unit, a data acquisition unit and a data processing unit, wherein the pattern information acquisition unit is used for acquiring pattern information of a measured scene; the visible light viewpoint acquisition unit comprises a first photosensitive element, a first optical zoom body, a second photosensitive element, a second optical zoom body and a main field objective;
the first photosensitive element is used as a first view angle in the operative field viewpoint acquisition to receive photons emitted by the surface of the measured object and present an image of the measured object under the first observation view angle; the first optical zoom lens group is adopted by the first optical zoom lens group to change the magnification of the object to be measured on the first photosensitive element;
the second photosensitive element is used as a second view angle in the operative field viewpoint acquisition to receive photons emitted by the surface of the measured object and present an image of the measured object at the second observation view angle; the second optical zoom adopts an optical zoom lens group to change the magnification of the object to be detected on the second photosensitive element;
the main field objective is used for determining and changing a microscope working distance formed by a first observation visual angle and an optical path of the first observation visual angle;
infrared light viewpoint acquisition unit: the infrared speckle pattern is used for acquiring the infrared speckle pattern of a measured scene; the infrared light viewpoint acquisition unit comprises a first speckle projector, a first infrared optical lens assembly, a third photosensitive element, a second speckle projector, a second infrared optical lens assembly and a fourth photosensitive element;
the first speckle projector is used for projecting laser speckles, and the laser speckles are projected to the surface of a measured object through the first infrared optical lens assembly to form a first group of infrared scattered spots in a given pattern form; imaging on the third optical photosensitive element through the first infrared optical lens assembly after the first group of infrared scattered spots on the surface of the measured object is reflected;
the second speckle projector is used for projecting laser speckles, and the laser speckles are projected to the surface of a measured object through the second infrared optical lens assembly to form a second group of infrared scattered spots in a given pattern form; imaging on the fourth optical photosensitive element through the second infrared optical lens assembly after the second group of infrared scattered spots on the surface of the measured object is reflected;
a three-dimensional reconstruction calculation control unit: the infrared viewpoint acquisition unit is used for acquiring the pattern of the visible light viewpoint acquisition unit and the pattern of the infrared viewpoint acquisition unit, and acquiring the three-dimensional reconstruction result.
As a preferred scheme of the microsurgical field three-dimensional reconstruction system, the visible light viewpoint acquisition unit further comprises an illumination light source assembly, and the illumination light source assembly is used for illuminating the measured object.
As a preferred scheme of the microsurgical field three-dimensional reconstruction system, the first speckle projector, the first infrared optical lens assembly and the third photosensitive element are positioned on one side of the main field objective; the second speckle projector, the second infrared optical lens assembly and the fourth photosensitive element are positioned on the other side of the main-field objective lens.
As a preferred scheme of the microsurgical field three-dimensional reconstruction system, the first photosensitive element and the second photosensitive element adopt color photosensitive elements which sense visible light; the third photosensitive element and the fourth photosensitive element adopt gray photosensitive elements for infrared light.
As a preferred scheme of the microsurgical field three-dimensional reconstruction system, the three-dimensional reconstruction calculation control unit comprises a synchronous camera and a calculation device; the synchronous camera is respectively connected with the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element; the computing equipment is connected with the synchronous camera and used for processing data obtained by the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element to obtain a final three-dimensional reconstruction result.
The invention also provides a three-dimensional reconstruction method of the microsurgical field, which is used for the three-dimensional reconstruction system of the microsurgical field and comprises the following steps:
step 1, calibrating a first photosensitive element, a second photosensitive element, a third photosensitive element and a fourth photosensitive element under a preset microscope magnification to obtain internal parameters of the first photosensitive element
Internal parameter of the second photosensitive element
Internal parameter of the third photosensitive element
And fourth photosensitive element intrinsic parameter
And acquiring external parameters of the second photosensitive element relative to the first photosensitive element
External parameter of the third photosensitive element relative to the first photosensitive element
And the external parameter of the fourth photosensitive element relative to the first photosensitive element
Step 2, under a given microscope magnification i, controlling the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element through the synchronous camera, enabling the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element to shoot a measured object at the same time, and recording an image generated by the first photosensitive element
Image generated by the second photosensitive element
Image generated by the third photosensitive element
And an image produced by the fourth photosensitive element
Step 3, adopting the internal parameters and the external parameters of the first photosensitive element and the internal parameters and the external parameters of the second photosensitive element, and utilizing a stereo correction algorithm in computer vision to carry out image pair alignment
Correcting the image pair
First image of
And a second image
Realizing line alignment of point pairs with the same characteristics to obtain a corrected image pair
And obtaining a reprojection matrix Q of the corrected first photosensitive element1；
Adopting the internal parameter and the external parameter of the third photosensitive element and the internal parameter and the external parameter of the fourth photosensitive element to carry out stereo correction algorithm in computer vision on the image pair
Correcting the image pair
Middle third image
And a fourth image
Realizing line alignment of point pairs with the same characteristics to obtain a corrected image pair
And obtaining a reprojection matrix Q of the corrected third photosensitive element3；
Step 4, respectively correcting the image pairs
And correcting the image pair
Obtaining the image pair using a dense matching algorithm
Of (d) a parallax map12And the pair of images
Of (d) a parallax map34；
Step 5, correcting the image pair
The first corrected image of
And a second corrected image
Based on the reprojection matrix Q1And a disparity map d12Obtaining a first corrected image using triangulation in computer vision
In the space of each point under the camera coordinate system of the first photosensitive elementCoordinates, generating a spatial point cloud P1；
For the corrected image pair
The third corrected image of (1)
And a fourth corrected image
Based on the reprojection matrix Q3And a disparity map d34Obtaining a third corrected image using triangulation in computer vision
Generating a space point cloud P by the space coordinates of each point in the third photosensitive element camera coordinate system2；
Step 6, adopting the space point cloud P1And the spatial point cloud P2Eliminating the error reconstruction result of the non-texture area to correct the spatial point cloud P1。
As a preferable scheme of the microsurgical field three-dimensional reconstruction method, the dense matching algorithm in the step 4 uses a dense optical flow algorithm or a deep learning-based stereo matching algorithm.
As a preferable scheme of the microsurgical field three-dimensional reconstruction method, the step 6 comprises the following steps:
6.1, based on the space relation between the third photosensitive element and the first photosensitive element, the space point cloud P in the coordinate system of the third photosensitive element2Transforming to the coordinate system of the first photosensitive element to form transformed space point cloud
Step 6.2, triangularization of the transformed spatial point cloud by using point cloud in computer vision
Rendering is carried out to obtain rendered space point cloud
6.3, adopting the rendered space point cloud
For space point cloud P1Optimizing:
for a spatial point cloud P1Each point P in1t(X1t,Y1t,Z1t) Obtaining a set of proximate points
Where n represents the number of domain points,
is P1tThe domain points of (1);
finding point P using least squares1tThe fitting plane Ax + By + Cz + D of the domain point is 0, and the point P is obtained1tThe normal vector (A, B, C) of (A) and (B) is then calculated to obtain P according to the equation of point-to-point equation1tAnd a line l parallel to the normal vector of the point:
then, the straight line l and the rendered space point cloud are processed
The intersection point of (A) is defined as P1tNew coordinates of (2);
iterating the above process to complete the spatial point cloud P1Optimizing the position of the midpoint to obtain optimized space point cloud under visible light
The invention collects the pattern information of the measured scene through the visible light viewpoint collecting unit; collecting an infrared speckle pattern of a measured scene through an infrared light viewpoint collecting unit; and controlling the shooting of the visible light viewpoint acquisition unit and the infrared light viewpoint acquisition unit by adopting a three-dimensional reconstruction calculation control unit, and carrying out information fusion on the patterns obtained by the visible light viewpoint acquisition unit and the patterns obtained by the infrared viewpoint acquisition unit to obtain a three-dimensional reconstruction result. According to the technical scheme, a multi-view point joint optimization and infrared speckle-based object surface texture enhancement mechanism is introduced into high-precision three-dimensional reconstruction, the appearance structure of the operation field can be accurately obtained by designing the structures of the infrared photosensitive element and the speckle projector, and the appearance structure is used as a three-dimensional reconstruction model under the operation field prior optimization visible light, so that the three-dimensional reconstruction precision under a microscope is improved on the basis of not influencing a main light path of the microscope.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
FIG. 1 is a schematic diagram of a three-dimensional reconstruction system for a microsurgical field provided in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a hardware relationship of a three-dimensional microsurgical field reconstruction system provided in an embodiment of the present invention;
fig. 3 is a schematic flow chart of a three-dimensional reconstruction method of a microsurgical field provided in an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 and 2, there is provided a microsurgical field three-dimensional reconstruction system comprising:
visible light viewpoint acquisition unit 110: the system comprises a pattern information acquisition unit, a data acquisition unit and a data processing unit, wherein the pattern information acquisition unit is used for acquiring pattern information of a measured scene; the visible light viewpoint collecting unit 110 includes a first photosensitive element 111, a first optical zoom body 113, a second photosensitive element 112, a second optical zoom body 114, and a main field objective 116;
the first photosensitive element 111 is used as a first view angle in the operative field viewpoint acquisition to receive photons emitted from the surface of the object to be measured and present an image of the object to be measured at the first observation view angle; the first optical zoom body 113 adopts an optical zoom lens group to change the magnification of the object to be detected on the first photosensitive element 111;
the second photosensitive element 112 is used as a second view angle in the operative field viewpoint acquisition to receive photons emitted from the surface of the object to be measured and present an image of the object to be measured at the second observation view angle; the second optical zoom lens set is adopted by the second optical zoom 114 to change the magnification of the object to be measured on the second photosensitive element 112;
the main field objective 116 is used for determining and changing the microscope working distance formed by the first observation angle and the optical path of the first observation angle;
infrared light viewpoint collecting unit 120: the infrared speckle pattern is used for acquiring the infrared speckle pattern of a measured scene; the infrared light viewpoint collecting unit 120 includes a first speckle projector 123, a first infrared optical lens assembly 122, a third photosensitive element 121, a second speckle projector 126, a second infrared optical lens assembly 125, and a fourth photosensitive element 124;
the first speckle projector 123 is used for projecting laser speckles, and the laser speckles are projected to the surface of a measured object through the first infrared optical lens assembly 122 to form a first group of infrared scattered spots in a given pattern; imaging on the third optical photosensitive element through the first infrared optical lens assembly 122 after the first group of infrared scattered spots on the surface of the measured object is reflected;
the second speckle projector 126 is used for projecting laser speckles, and the laser speckles are projected to the surface of the measured object through the second infrared optical lens assembly 125 to form a second group of infrared scattered spots in a given pattern; imaging on the fourth optical photosensitive element through the second infrared optical lens assembly 125 after the second group of infrared scattered spots on the surface of the measured object is reflected;
the three-dimensional reconstruction calculation control unit 130: the system is configured to control the shooting of the visible light viewpoint collecting unit 110 and the infrared light viewpoint collecting unit 120, and perform information fusion on the pattern obtained by the visible light viewpoint collecting unit 110 and the pattern obtained by the infrared viewpoint collecting unit to obtain a three-dimensional reconstruction result.
Specifically, the visible light viewpoint collecting unit 110 further includes an illumination light source assembly 115, and the illumination light source assembly 115 is configured to illuminate the object to be measured. The illumination light source assembly 115 provides sufficient illumination for the object to be measured, and ensures the imaging quality of the object to be measured on the first photosensitive element 111 and the second photosensitive element 112.
Specifically, the first photosensitive element 111 is used as a first observation angle in multi-viewpoint acquisition for receiving photons emitted from the surface of the object to be measured, and finally presenting an image of the object to be measured at the first observation angle, and the first optical zoom body 113 is a set of optical zoom lens group capable of changing the magnification of the object to be measured on the first photosensitive element 111; the second optical zoom 114 and the second photosensitive element 112 serve as a second observation angle of the object to be measured, and the function thereof is identical to that of the first observation angle, and there is only a difference in the angle of view of the object to be observed. The main field objective 116 is used to determine and vary the working distance of the microscope consisting of the optical paths of the first and second viewing angles.
Specifically, the first speckle projector 123, the first infrared optical lens assembly 122 and the third photosensitive element 121 are located on one side of the main-field objective 116; the second speckle projector 126, second infrared optical lens assembly 125 and fourth photosensitive element 124 are located on the other side of the main-field objective 116. The first photosensitive element 111 and the second photosensitive element 112 are color photosensitive elements which sense visible light; the third photosensitive element 121 and the fourth photosensitive element 124 adopt a grayscale photosensitive element for infrared light.
The infrared light viewpoint collecting unit 120 is composed of two infrared light collecting devices, which are respectively located at both sides of the microscope body. Taking one of the infrared light collection devices as an example, the collection device is composed of a third photosensitive element 121, a first speckle projector 123 and a first infrared optical lens assembly 122. The first speckle projector 123 is used to project laser speckles, which are projected onto the object surface through the first infrared optical lens assembly 122 to form infrared scattered spots having a specific pattern form. The speckle point on the object surface is reflected and imaged on the third optical photosensitive element through the first infrared optical lens assembly 122.
Specifically, the first infrared optical lens assembly 122 has two functions, on one hand, the speckle is projected onto the surface of the object through the internal spectroscope, and on the other hand, the infrared light reflected by the surface of the object is projected onto the third photosensitive element 121 through the first infrared optical lens assembly 122. The magnification of the first infrared optical lens assembly 122 is comparable to the minimum magnification of the first optical zoom body 113. The third photosensitive element 121, the first photosensitive element 111, and the second photosensitive element 112 are slightly different in image formation manner, the third photosensitive element 121 is a grayscale photosensitive element that is sensitive to infrared light, and the first photosensitive element 111 and the second photosensitive element 112 are color photosensitive elements that are sensitive to visible light.
Specifically, there are differences in principle and function between the first photosensitive element 111 and the second photosensitive element 112 in design, and the third photosensitive element 121 and the fourth photosensitive element 124. In principle, the first and second photosensitive elements 111 and 112 image by means of visible light, and the third and fourth photosensitive elements 121 and 124 image in the infrared light band. Functionally, since the speckle projector is added to both the third photosensitive element 121 and the fourth photosensitive element 124, the third photosensitive element 121 and the fourth photosensitive element 124 receive the illumination light reflected by the object surface and also receive the speckles reflected by the object surface. The advantage of this design is that due to the existence of the fine speckles, the original non-textured and highlight areas in the third photosensitive element 121 and the fourth photosensitive element 124 are enhanced in detail, so that the stereo matching problem is effectively solved, and the quality of three-dimensional reconstruction under infrared light is enhanced.
In addition, it should be noted that the light emitted by the first speckle projector 123 and the second speckle projector 126 belongs to the infrared band, and the first photosensitive element 111 and the second photosensitive element 112 belong to the visible light imaging, and the quantum efficiency in the infrared band is low, so that the speckles do not appear on the image corresponding to the visible light photosensitive element.
Specifically, the method comprises the following steps. The three-dimensional reconstruction calculation control unit 130 includes a synchronous camera 131 and a calculation device 132; the synchronous camera 131 is respectively connected with the first photosensitive element 111, the second photosensitive element 112, the third photosensitive element 121 and the fourth photosensitive element 124; the computing device 132 is connected to the synchronous camera 131, and the computing device 132 is configured to process data obtained by the first photosensitive element 111, the second photosensitive element 112, the third photosensitive element 121, and the fourth photosensitive element 124 to obtain a final three-dimensional reconstruction result. The synchronous camera 131 is connected to the four photosensitive elements and is responsible for controlling simultaneous photographing of the four photosensitive elements. The computing device 132 processes the data obtained in the optical sensing elements to obtain the final reconstruction result.
Referring to fig. 3, the present invention further provides a three-dimensional reconstruction method of a microsurgical field, which is used for the three-dimensional reconstruction system of the microsurgical field, and comprises the following steps:
s1, calibrating the first light sensing element 111, the second light sensing element 112, the third light sensing element 121 and the fourth light sensing element 124 under the preset microscope magnification to obtain the internal parameters of the first light sensing element 111
Internal parameters of the second photosensitive element 112
Internal parameter of the third photosensitive element 121
And the internal parameters of the fourth photosensitive element 124
And obtains the external parameters of the second photosensitive element 112 relative to the first photosensitive element 111
External parameters of the third photosensitive element 121 relative to the first photosensitive element 111
And the external parameter of the fourth photosensitive element 124 relative to the first photosensitive element 111
S2, under the given microscope magnification i, controlling the first light-sensing element 111, the second light-sensing element 112, the third light-sensing element 121 and the fourth light-sensing element 124 by the synchronous camera 131, making the first light-sensing element 111, the second light-sensing element 112, the third light-sensing element 121 and the fourth light-sensing element 124 shoot the object to be measured simultaneously, recording the image generated by the first light-sensing element 111
The image generated by the second photosensitive element 112
The image generated by the third photosensitive element 121
And the image generated by the fourth photosensitive element 124
S3, adopting the internal parameter and the external parameter of the first photosensitive element 111 and the internal parameter of the second photosensitive element 112Number and extrinsic parameters, stereo correction algorithms in computer vision
Correcting the image pair
First image of
And a second image
Realizing line alignment of point pairs with the same characteristics to obtain a corrected image pair
And obtaining a reprojection matrix Q of the corrected first photosensitive element 1111；
Using the internal and external parameters of the third photosensitive element 121 and the internal and external parameters of the fourth photosensitive element 124, a stereo correction algorithm in computer vision is used to correct the image pair
Correcting the image pair
Middle third image
And a fourth image
Realizing line alignment of point pairs with the same characteristics to obtain a corrected image pair
And obtains the reprojection matrix Q of the corrected third photosensitive element 1213；
S4, respectively aligning the correction mapsImage pair
And correcting the image pair
Obtaining the image pair using a dense matching algorithm
Of (d) a parallax map12And the pair of images
Of (d) a parallax map34；
S5, correcting the image pair
The first corrected image of
And a second corrected image
Based on the reprojection matrix Q1And a disparity map d12Obtaining a first corrected image using triangulation in computer vision
The space coordinates of each point in the first photosensitive element 111 under the camera coordinate system generate a space point cloud P1；
For the corrected image pair
The third corrected image of (1)
And a firstFour corrected images
Based on the reprojection matrix Q3And a disparity map d34Obtaining a third corrected image using triangulation in computer vision
Generating a spatial point cloud P by the spatial coordinates of each point in the third photosensitive element 121 under the camera coordinate system2；
S6, adopting the space point cloud P1And the spatial point cloud P2Eliminating the error reconstruction result of the non-texture area to correct the spatial point cloud P1。
Specifically, in S5, a first corrected image is obtained using a triangulation method in computer vision
The specific formula of the space coordinate of each point in the camera coordinate system of the first photosensitive element 111 is as follows:
wherein (x, y) represents the first corrected image
At one point in the above-mentioned process,
represents the parallax value at (X, Y) in the parallax map, and (X, Y, Z, W) represents the spatial coordinates of (X, Y) in the coordinate system of the photosensitive element. Thus, the spatial point cloud P corresponding to the image captured by the first photosensitive element 111 can be obtained1. Similarly, a spatial point cloud P under a stereo image pair formed by the third photosensitive element 121 and the fourth photosensitive element 124 can be obtained2。
Specifically, the dense matching algorithm in S4 uses a dense optical flow algorithm or a deep learning-based stereo matching algorithm.
Specifically, S6 includes:
s6.1, based on the space relation between the third photosensitive element 121 and the first photosensitive element 111, the space point cloud P in the coordinate system of the third photosensitive element 1212Transforming to the coordinate system of the first photosensitive element 111 to form a transformed space point cloud
Specifically, for any point (X)p2,Yp2,Zp2)∈P2The space coordinate of the first photosensitive element 111 in the coordinate system is (X)p1,Yp1,Zp1) Wherein the following relationship is satisfied:
P2the model under the new coordinate system is a spatial point cloud
S6.2, using point cloud triangulation in computer vision to process space point cloud
Rendering is carried out to obtain rendered space point cloud
S6.3, adopting rendered space point cloud
For space point cloud P1Optimizing:
for a spatial point cloud P1Each point P in1t(X1t,Y1t,Z1t) Obtaining a set of proximate points
Where n represents the number of domain points,
is P1tThe domain points of (1);
finding point P using least squares1tThe fitting plane Ax + By + Cz + D of the domain point is 0, and the point P is obtained1tThe normal vector (A, B, C) of (A) and (B) is then calculated to obtain P according to the equation of point-to-point equation1tAnd a line l parallel to the normal vector of the point:
then, the straight line l and the rendered space point cloud are processed
The intersection point of (A) is defined as P1tNew coordinates of (2);
iterating the above process to complete the spatial point cloud P1Optimizing the position of the midpoint to obtain optimized space point cloud under visible light
The invention collects the pattern information of the measured scene through the visible light viewpoint collecting unit 110; collecting an infrared speckle pattern of a measured scene by an infrared light viewpoint collecting unit 120; the three-dimensional reconstruction calculation control unit 130 is used for controlling the shooting of the visible light viewpoint acquisition unit 110 and the infrared light viewpoint acquisition unit 120, and information fusion is carried out on the patterns obtained by the visible light viewpoint acquisition unit 110 and the patterns obtained by the infrared viewpoint acquisition unit, so as to obtain a three-dimensional reconstruction result. According to the technical scheme, a multi-view point joint optimization and infrared speckle-based object surface texture enhancement mechanism is introduced into high-precision three-dimensional reconstruction, the appearance structure of the operation field can be accurately obtained by designing the structures of the infrared photosensitive element and the speckle projector, and the appearance structure is used as a three-dimensional reconstruction model under the operation field prior optimization visible light, so that the three-dimensional reconstruction precision under a microscope is improved on the basis of not influencing a main light path of the microscope.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (8)
1. A microsurgical field three-dimensional reconstruction system, comprising:
visible light viewpoint acquisition unit: the system comprises a pattern information acquisition unit, a data acquisition unit and a data processing unit, wherein the pattern information acquisition unit is used for acquiring pattern information of a measured scene; the visible light viewpoint acquisition unit comprises a first photosensitive element, a first optical zoom body, a second photosensitive element, a second optical zoom body and a main field objective;
the first photosensitive element is used as a first view angle in the operative field viewpoint acquisition to receive photons emitted by the surface of the measured object and present an image of the measured object under the first observation view angle; the first optical zoom lens group is adopted by the first optical zoom lens group to change the magnification of the object to be measured on the first photosensitive element;
the second photosensitive element is used as a second view angle in the operative field viewpoint acquisition to receive photons emitted by the surface of the measured object and present an image of the measured object at the second observation view angle; the second optical zoom adopts an optical zoom lens group to change the magnification of the object to be detected on the second photosensitive element;
the main field objective is used for determining and changing a microscope working distance formed by a first observation visual angle and an optical path of the first observation visual angle;
infrared light viewpoint acquisition unit: the infrared speckle pattern is used for acquiring the infrared speckle pattern of a measured scene; the infrared light viewpoint acquisition unit comprises a first speckle projector, a first infrared optical lens assembly, a third photosensitive element, a second speckle projector, a second infrared optical lens assembly and a fourth photosensitive element;
the first speckle projector is used for projecting laser speckles, and the laser speckles are projected to the surface of a measured object through the first infrared optical lens assembly to form a first group of infrared scattered spots in a given pattern form; imaging on the third optical photosensitive element through the first infrared optical lens assembly after the first group of infrared scattered spots on the surface of the measured object is reflected;
the second speckle projector is used for projecting laser speckles, and the laser speckles are projected to the surface of a measured object through the second infrared optical lens assembly to form a second group of infrared scattered spots in a given pattern form; imaging on the fourth optical photosensitive element through the second infrared optical lens assembly after the second group of infrared scattered spots on the surface of the measured object is reflected;
a three-dimensional reconstruction calculation control unit: the infrared viewpoint acquisition unit is used for acquiring the pattern of the visible light viewpoint acquisition unit and the pattern of the infrared viewpoint acquisition unit, and acquiring the three-dimensional reconstruction result.
2. The microsurgical field three-dimensional reconstruction system of claim 1, wherein the visible light viewpoint collecting unit further comprises an illumination light source assembly for illuminating the object to be measured.
3. The microsurgical field three-dimensional reconstruction system of claim 1, wherein the first speckle projector, first infrared optical lens assembly and third photosensitive element are located at one side of the main field objective; the second speckle projector, the second infrared optical lens assembly and the fourth photosensitive element are positioned on the other side of the main-field objective lens.
4. The microsurgical field three-dimensional reconstruction system of claim 1, wherein the first photosensitive element and the second photosensitive element are color photosensitive elements that sense visible light; the third photosensitive element and the fourth photosensitive element adopt gray photosensitive elements for infrared light.
5. The microsurgical field three-dimensional reconstruction system of claim 1, wherein the three-dimensional reconstruction computational control unit comprises a synchronized camera and a computing device; the synchronous camera is respectively connected with the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element; the computing equipment is connected with the synchronous camera and used for processing data obtained by the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element to obtain a final three-dimensional reconstruction result.
6. A microsurgical field three-dimensional reconstruction method for a microsurgical field three-dimensional reconstruction system as claimed in any one of claims 1 to 5, characterized in that it comprises the following steps:
step 1, calibrating a first photosensitive element, a second photosensitive element, a third photosensitive element and a fourth photosensitive element under a preset microscope magnification to obtain internal parameters of the first photosensitive element
Internal parameter of the second photosensitive element
Internal parameter of the third photosensitive element
And fourth photosensitive element intrinsic parameter
And acquiring external parameters of the second photosensitive element relative to the first photosensitive element
The third photosensitive element is opposite toExternal parameter of the first photosensitive element
And the external parameter of the fourth photosensitive element relative to the first photosensitive element
Step 2, under a given microscope magnification i, controlling the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element through the synchronous camera, enabling the first photosensitive element, the second photosensitive element, the third photosensitive element and the fourth photosensitive element to shoot a measured object at the same time, and recording an image generated by the first photosensitive element
Image generated by the second photosensitive element
Image generated by the third photosensitive element
And an image produced by the fourth photosensitive element
Step 3, adopting the internal parameters and the external parameters of the first photosensitive element and the internal parameters and the external parameters of the second photosensitive element, and utilizing a stereo correction algorithm in computer vision to carry out image pair alignment
Correcting the image pair
First image of
And a second image
Realizing line alignment of point pairs with the same characteristics to obtain a corrected image pair
And obtaining a reprojection matrix Q of the corrected first photosensitive element1；
Adopting the internal parameter and the external parameter of the third photosensitive element and the internal parameter and the external parameter of the fourth photosensitive element to carry out stereo correction algorithm in computer vision on the image pair
Correcting the image pair
Middle third image
And a fourth image
Realizing line alignment of point pairs with the same characteristics to obtain a corrected image pair
And obtaining a reprojection matrix Q of the corrected third photosensitive element3；
Step 4, respectively correcting the image pairs
And correcting the image pair
Obtaining the image pair using a dense matching algorithm
Of (d) a parallax map12And the pair of images
Of (d) a parallax map34；
Step 5, correcting the image pair
The first corrected image of
And a second corrected image
Based on the reprojection matrix Q1And a disparity map d12Obtaining a first corrected image using triangulation in computer vision
Generating a space point cloud P by the space coordinates of each point in the first photosensitive element under the camera coordinate system1；
For the corrected image pair
The third corrected image of (1)
And a fourth corrected image
Based on the reprojection matrix Q3And a disparity map d34Using triangulation in computer visionThe method obtains a third corrected image
Generating a space point cloud P by the space coordinates of each point in the third photosensitive element camera coordinate system2；
Step 6, adopting the space point cloud P1And the spatial point cloud P2Eliminating the error reconstruction result of the non-texture area to correct the spatial point cloud P1。
7. The microsurgical field three-dimensional reconstruction method of claim 6, wherein the dense matching algorithm in the step 4 uses a dense optical flow algorithm or a deep learning based stereo matching algorithm.
8. The microsurgical field three-dimensional reconstruction method of claim 6, wherein the step 6 comprises:
6.1, based on the space relation between the third photosensitive element and the first photosensitive element, the space point cloud P in the coordinate system of the third photosensitive element2Transforming to the coordinate system of the first photosensitive element to form transformed space point cloud
Step 6.2, triangularization of the transformed spatial point cloud by using point cloud in computer vision
Rendering is carried out to obtain rendered space point cloud
6.3, adopting the rendered space point cloud
To the airPoint cloud P1Optimizing:
for a spatial point cloud P1Each point P in1t(X1t,Y1t,Z1t) Obtaining a set of proximate points N
Where n represents the number of domain points,
is P1tThe domain points of (1);
finding point P using least squares1tThe fitting plane Ax + By + Cz + D of the domain point is 0, and the point P is obtained1tThe normal vector (A, B, C) of (A) and (B) is then calculated to obtain P according to the equation of point-to-point equation1tAnd a line l parallel to the normal vector of the point:
then, the straight line l and the rendered space point cloud are processed
The intersection point of (A) is defined as P1tNew coordinates of (2);
iterating the above process to complete the spatial point cloud P1Optimizing the position of the midpoint to obtain optimized space point cloud under visible light
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