CN112274172B - Imaging method and device based on multiple scanning and electronic equipment - Google Patents
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- 238000003384 imaging method Methods 0.000 title claims abstract description 44
- 210000000214 mouth Anatomy 0.000 claims abstract description 175
- 210000001519 tissue Anatomy 0.000 claims abstract description 168
- 210000004373 mandible Anatomy 0.000 claims abstract description 94
- 230000004927 fusion Effects 0.000 claims abstract description 37
- 210000002050 maxilla Anatomy 0.000 claims abstract description 37
- 238000007408 cone-beam computed tomography Methods 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000004590 computer program Methods 0.000 claims description 10
- 238000003709 image segmentation Methods 0.000 claims description 7
- 230000011218 segmentation Effects 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 210000000988 bone and bone Anatomy 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 210000000216 zygoma Anatomy 0.000 description 2
- 239000004053 dental implant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000007943 implant Substances 0.000 description 1
- 210000004871 mandibular tooth Anatomy 0.000 description 1
- 210000002295 maxillary tooth Anatomy 0.000 description 1
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- A61B6/51—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for dentistry
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Abstract
The embodiment of the invention provides an imaging method, device and electronic equipment based on multiple scanning, wherein the method comprises the following steps: acquiring at least two groups of oral structure images; respectively extracting a maxilla tissue image and a mandible tissue image in each group of oral cavity structure images; registering and fusing the maxillary tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target maxillary tissue image; registering and fusing mandible tissue images corresponding to at least two groups of oral cavity structure images to obtain a target mandible tissue image; and fusing the target mandible tissue image and the target mandible tissue image according to the relative position relation between the maxilla tissue and the mandible tissue to obtain a target oral cavity structure image. The method can fully ensure the registration fusion accuracy between the maxillary tissue image and the mandibular tissue image in the oral cavity structure, simultaneously reduce the hardware cost of oral cavity CBCT equipment, and the obtained target oral cavity structure image can meet more oral cavity clinical application requirements.
Description
Technical Field
The present invention relates to the field of scanning technologies, and in particular, to an imaging method and apparatus based on multiple scanning, and an electronic device.
Background
With the improvement of living standard, people pay more and more attention to tooth health, and oral CBCT is also widely applied in clinic. The imaging field height of oral CBCT is around 9cm, which meets most clinical application needs, but for some complex applications a larger imaging field is required, which means a larger detector for oral CBCT, which also means a significant increase in cost.
On oral CBCT, the view of about 9cm in height can basically see the meshing joint, satisfying most of clinical demands of upper and lower dental implants and the like, but for clinical applications where individual meshing joints are higher and cheekbone-crossing implants are required, the 9cm height will not satisfy the demands.
Disclosure of Invention
The embodiment of the invention provides an imaging method based on multiple scanning, which can reduce the cost of the imaging method, improve the imaging precision and can not meet the clinical application of an oral cavity.
In a first aspect, embodiments of the present invention provide a multi-scan based imaging method for an imaging system of an oral structure, the method comprising the steps of:
acquiring at least two groups of oral cavity structure images, wherein each group of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one group of oral cavity structure images in the at least two groups of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each group of oral cavity structure images is different;
respectively extracting a maxilla tissue image and a mandible tissue image in each group of oral cavity structure images;
registering and fusing the maxillary tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target maxillary tissue image;
registering and fusing the mandible tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target mandible tissue image;
and fusing the target mandible tissue image and the target mandible tissue image according to the relative position relation between the maxilla tissue and the mandible tissue to obtain a target oral cavity structure image.
Optionally, the step of extracting the maxillary image and the mandibular image in each group of oral structure images includes:
and respectively carrying out image segmentation on each group of oral cavity structure images to separate the maxillary tissue images from the mandibular tissue images in each group of oral cavity structure images so as to respectively obtain the maxillary tissue images and the mandibular tissue images corresponding to each group of oral cavity structure images.
Optionally, the step of registering and fusing the maxillary tissue images corresponding to the at least two sets of oral cavity structure images to obtain a target maxillary tissue image includes:
and carrying out registration fusion between the maxillary tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target maxillary tissue image.
Optionally, the step of registering and fusing the mandible tissue images corresponding to the at least two sets of oral cavity structure images to obtain a target mandible tissue image includes:
and carrying out registration fusion between mandible tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target mandible tissue image.
Optionally, the step of acquiring at least two sets of images of oral structures includes:
and scanning the oral cavity structure at least twice through a preset oral cavity CBCT device to obtain at least two groups of oral cavity structure images.
In a second aspect, embodiments of the present invention further provide an imaging device based on multiple scans, for an imaging system of an oral structure, the device comprising the steps of:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring at least two groups of oral cavity structure images, each group of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one group of oral cavity structure images in the at least two groups of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each group of oral cavity structure images is different;
the extraction module is used for respectively extracting the maxillary tissue image and the mandibular tissue image in each group of oral cavity structure images;
the first registration fusion module is used for carrying out registration fusion on the maxillary tissue images corresponding to the at least two groups of oral cavity structure images so as to obtain a target maxillary tissue image;
the second registration fusion module is used for carrying out registration fusion on the mandible tissue images corresponding to the at least two groups of oral cavity structure images so as to obtain a target mandible tissue image;
and the fusion module is used for fusing the target mandible tissue image and the target mandible tissue image according to the relative position relationship between the maxilla tissue and the mandible tissue so as to obtain a target oral cavity structure image.
Optionally, the extracting module includes:
the segmentation unit is used for respectively carrying out image segmentation on each group of oral cavity structure images so as to separate the maxillary tissue images from the mandibular tissue images in each group of oral cavity structure images, so as to respectively obtain the maxillary tissue images and the mandibular tissue images corresponding to each group of oral cavity structure images.
Optionally, the first registration fusion module includes:
the first registration fusion unit is used for carrying out registration fusion on the maxillary tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain target maxillary tissue images.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: the imaging device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps in the imaging method based on multiple scanning provided in the embodiment when executing the computer program.
In a fourth aspect, embodiments of the present invention further provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps in the imaging method based on multiple scans provided in the above embodiments.
The embodiment of the invention has the beneficial effects that: by acquiring at least two groups of oral cavity structure images, each group of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one group of oral cavity structure images in the at least two groups of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each group of oral cavity structure images is different; respectively extracting a maxilla tissue image and a mandible tissue image in each group of oral cavity structure images; registering and fusing the maxillary tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target maxillary tissue image; registering and fusing the mandible tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target mandible tissue image; and fusing the target mandible tissue image and the target mandible tissue image according to the relative position relation between the maxilla tissue and the mandible tissue to obtain a target oral cavity structure image. Therefore, on the premise that the production cost of the preset oral cavity CBCT equipment is basically unchanged, the limit of the imaging field of single scanning is broken through, and the target oral cavity structure image obtained by configuration fusion after multiple scanning imaging is based. And furthermore, the registration fusion accuracy between the upper jaw bone tissue image and the lower jaw bone tissue image of the oral cavity structure can be fully ensured, meanwhile, the hardware cost of oral cavity CBCT equipment is reduced, and the obtained target oral cavity structure image can meet more oral cavity clinical application requirements.
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 flow chart of an imaging method based on multiple scans provided in an embodiment of the present invention;
FIG. 2 is a schematic illustration of two scans of an oral structure according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an imaging device based on multiple scans according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
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.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in embodiments of the invention to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, fig. 1 is a flowchart of an imaging method based on multiple scans according to an embodiment of the present invention, where the imaging method based on multiple scans includes the following steps:
and 101, acquiring at least two groups of oral cavity structure images.
Wherein, every group of oral cavity structure images all include upper jaw bone tissue image and lower jaw bone tissue image, at least one group of oral cavity structure images in at least two groups of oral cavity structure images include the relative position relation between upper jaw bone tissue and the lower jaw bone tissue, all inequality between every group of oral cavity structure images.
Specifically, the oral cavity structure is scanned at least twice through a preset oral cavity CBCT device, so that at least two groups of oral cavity structure images are obtained. The maxilla tissue and the mandible tissue were kept separate during the two scans. In the embodiment of the invention, two groups of oral structure images obtained based on two scans are mainly taken as examples for explanation. Different between each group of oral structure images may mean that each group of oral structure images may have a part that is the same, but not the exact same.
More specifically, for example, when scanned for the first time, the oral structure may be scanned with respect to the mandibular tissue, thereby obtaining a first set of oral structure images. It should be noted that, when the oral cavity structure is scanned based on the mandibular tissue according to the preset oral cavity CBCT apparatus, only the complete mandibular tissue and a part of the maxillary tissue image may be scanned due to the limitation of the imaging field height of the preset CBCT apparatus. Of course, when scanning is performed with reference to the mandible tissue, the relative positional relationship between the maxilla tissue and the mandible tissue can be scanned.
And when the oral cavity structure is scanned for the second time, the maxillary tissue is taken as a reference, and then a second oral cavity structure image is obtained. It should be noted that, when the oral cavity structure is scanned based on the maxillary tissue according to the preset oral cavity CBCT apparatus, only the complete maxillary tissue and a part of mandibular tissue images may be scanned due to the limitation of the imaging field height of the preset oral cavity CBCT apparatus. Of course, when scanning is performed with reference to the mandible tissue, the relative positional relationship between the mandible tissue and the maxilla tissue can be scanned.
It should be understood that, in the first set of oral structure images and the second set of oral structure images obtained in the first scan, any one set of oral structure images may include a relative positional relationship between the maxillary tissue and the mandibular tissue. Of course, the two sets of oral structure images may each include a relative positional relationship between the maxillary tissue and the mandibular tissue. This allows at least two scans of the oral structure using the oral CBCT device with limited imaging field height to obtain at least two sets of oral structure images.
And 102, respectively extracting the maxillary tissue image and the mandibular tissue image in each group of oral cavity structure images.
Specifically, after at least two sets of oral cavity structure images are acquired, image segmentation can be performed on each set of oral cavity structure images, so that the maxillary tissue images and the mandibular tissue images in each set of oral cavity structure images are separated, and the maxillary tissue images and the mandibular tissue images corresponding to each set of oral cavity structure images are obtained respectively.
More specifically, after two groups of oral structures are acquired, the maxilla image and the mandible tissue image in each group of oral structures are respectively identified and divided into areas, the divided maxilla tissue image and mandible tissue area are divided, and the maxilla tissue and mandible tissue image in each group of divided oral structure images are marked. For example, the maxillary tissue image and the mandibular tissue image in the first set of oral structure images may be labeled Maxilla, respectively 1 Mandig 1 . The maxillary tissue image and the mandibular tissue image of the second set of oral structure images may be respectively labeled as Maxilla 2 Mandig 2 . And record Maxilla 1 And Mandig 1 Relative positional relationship between, and/or Maxilla 2 And Mandig 2 Relative positional relationship between the two. Of course, the marking symbols used to mark the maxillary and mandibular tissue images in each set of oral structure images may be letters, numbers, words, symbols, etc.
The identification and segmentation of the maxillary image and the mandibular image in each set of the oral structure images may be performed by acquiring maxillary and mandibular tissue characteristics in each set of the oral structure images, and the maxillary tissue characteristics may be maxillary tooth shape characteristics, gum characteristics, cheekbone characteristics, upper engagement joint characteristics, and the like, and the mandibular tissue characteristics may be mandibular tooth shape characteristics, gum characteristics, lower engagement joint characteristics, and the like.
And 103, registering and fusing the maxillary tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target maxillary tissue image.
Specifically, after the maxillary tissue image in each group of the oral cavity structure images is extracted, registration fusion can be performed between the maxillary tissue images in each group of the oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target maxillary tissue image.
For example, two sets of oral structure images exist, and when the extracted maxillary tissue image in the first set of oral structure images is labeled as Maxilla 1 The maxillary tissue image of the second set of oral structure images is labeled Maxilla 2 The maxillary tissue image Maxilla in the first set of oral structure images may be processed 1 With the maxillary tissue image Maxilla in the second set of oral structure images 2 And registering and then fusing to obtain a target maxillary tissue image, wherein the target maxillary tissue image can be represented by using Maxilla.
It should be noted that, when the registration between the maxillary tissue images in at least two sets of the oral cavity structure images may obtain a relatively complete maxillary tissue image, for example, a complete maxillary tissue needs to include a, b, c, d four portions, but when the individual engaged joints are higher or clinical applications of through-cheekbone planting need to be performed, because the imaging field of view of the oral cavity CBCT apparatus is limited, a complete oral cavity structure image cannot be obtained by one scan, which further affects the integrity of the maxillary tissue image. At least two scans are needed to be carried out on the whole oral cavity structure, so that at least two oral cavity structure images are obtained, and at least two groups of maxillary tissue images are also obtained. For example, the first scanned maxillary image includes a portion a, b, and c, but the portion d is not scanned, and the second scanned maxillary image includes a portion b, c, and d, and the portion a is not scanned, so that the first scanned maxillary image (including a portion a, b, and c) and the second scanned maxillary image (including b, c, and d) may be registered, so as to obtain a complete target maxillary image (including a, b, c, d portions).
And 104, registering and fusing the mandible tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target mandible tissue image.
Specifically, after extracting the mandible tissue image in each group of oral cavity structure images, the mandible tissue images in each group of oral cavity structure images can be registered and fused through a preset three-dimensional rigid registration strategy, so as to obtain a target mandible tissue image.
For example, two sets of oral structure images exist, and when the mandibular tissue image in the first set of oral structure images is marked as Mandig 1 The mandibular tissue image of the second set of oral structure images is labeled Mandigable 2 The mandibular tissue image Mandig in the first set of oral structure images may be processed 1 With mandibular tissue image Mandigle in the second set of oral structure images 2 And registering and fusing the images to obtain a target Mandible tissue image, wherein the target Mandible tissue image can be represented by using Mandigle.
It should be noted that, when the mandible tissue image in at least two sets of oral cavity structure images is registered, a relatively complete mandible tissue image may be obtained, for example, a complete mandible tissue needs to include e, f, g, h four parts, but when the individual meshing joints are higher, or clinical applications of through cheekbone planting need to be performed, because the imaging field of view of the oral cavity CBCT apparatus is limited, a complete oral cavity structure image cannot be obtained by one scan, and thus the integrity of the mandible tissue image is affected. At least two scans are needed to be carried out on the whole oral cavity structure, so that at least two oral cavity structure images are obtained, and at least two groups of mandible tissue images are also obtained. For example, the mandible tissue image obtained by the first scanning includes e, f and g parts, but the h part is not scanned, the mandible tissue image obtained by the second scanning includes f, g and h parts, and the e part is not scanned, at this time, the mandible tissue image obtained by the first scanning (including e, f and g parts) and the mandible tissue image obtained by the second scanning (including f, g and h parts) may be registered, so as to obtain a complete target mandible tissue image (including e, f, g, h parts).
In the embodiment of the present invention, step 103 and step 104 may be performed synchronously or asynchronously, and the sequence of the asynchronous operations is not further limited.
And 105, fusing the target mandible tissue image and the target mandible tissue image according to the relative position relation between the maxilla tissue and the mandible tissue to obtain a target oral cavity structure image.
Specifically, after the target maxilla tissue image and the target mandible tissue image are obtained, the target maxilla tissue image and the target mandible tissue image may be fused into the target oral structure image based on the relative positional relationship between the maxilla tissue and the mandible tissue. Because the target maxillary tissue image is an image corresponding to the complete maxillary tissue, the target mandibular tissue image is an image corresponding to the complete mandibular tissue, and the obtained target oral structure image is also an image corresponding to the complete oral structure.
In the embodiment of the invention, the same scanning of the maxilla tissue and the mandible tissue in the separated state does not further limit the separation mode of the maxilla tissue and the mandible tissue and does not further limit the separation mode of the maxilla tissue and the mandible tissue. The embodiment of the invention also does not further limit the registration method of the maxillary tissue and the mandibular tissue.
In the oral cavity structure image obtained by oral cavity CBCT scanning, the oral cavity structure image is mainly reflected in three-dimensional coordinates. In the three-dimensional coordinate transformation, 6 degrees of freedom are introduced, respectively dx, dy, dz, α, β, γ, dx represents an offset of an X-coordinate, dy represents an offset of a Y-coordinate, dz represents an offset of a Z-coordinate, α represents an angle of rotation about the X-axis, β represents an angle of rotation about the Y-axis, γ represents an angle of rotation about the Z-axis, then the original coordinates (X 0 y 0 z 0 ) The spatial coordinates after 6 free-end transformations are (x, y, z):
u x ＝cos(α)cos(γ)-sin(α)*cos(β)*sin(γ)
v x ＝-cos(α)sin(γ)-sin(α)*cos(β)*cos(γ)
w x ＝sin(α)*sin(β)
u y ＝sin(α)cos(γ)+cos(α)*cos(β)*sin(γ)
v y ＝-sin(α)sin(γ)+cos(α)*cos(β)*cos(γ)
w y ＝-cos(α)*sin(β)
u z ＝sin(β)*sin(γ)
v z ＝sin(β)*cos(γ)
w z ＝cos(β)
in the three-dimensional coordinates, each point in the oral cavity structure image obtained by oral cavity CBCT scanning can be determined through the 6 degrees of freedom, and then the position of each point in the oral cavity structure image in the three-dimensional coordinates is obtained. In oral CBCT scanning, the maxillary and skull bone are relatively fixed, while the mandibular bone is movable, and furthermore the cervical vertebrae are also moving relative to the maxillary and mandibular bone due to the different open states. In the clinical application of the oral cavity, the main concern is the correspondence between the maxillary and mandibular tissues in the oral structure.
In an embodiment of the present invention, referring to fig. 2, fig. 2 is an imaging schematic diagram of two scans of an oral structure provided in the embodiment of the present invention, where A1B1 may be a first set of oral structure images obtained by first scanning with an oral CBCT device. A2B2 may be a second set of oral structure images obtained using a second scan of the CBCT device. A1 may be a maxillary tissue image extracted from the first group of oral structure images A1B 1. B1 may be a mandibular tissue image extracted from the first set of oral structure images A1B 1. A2 may be a maxillary tissue image extracted from the second group of oral structure images A2B2. B2 may be a mandibular tissue image extracted from the second set of oral structure images A2B2. A may be a target maxillary tissue image obtained by performing registration fusion between the maxillary tissue image A1 and the maxillary tissue image A2. B may be a target mandible tissue image obtained by performing registration fusion between the mandible tissue image B1 and the mandible tissue image B2. AB may be a target oral structure image obtained after the target maxilla tissue image a and the target mandible tissue image B are fused. Thus, the first group of oral cavity structure images A1B1 and the second group of oral cavity structure images A2B2 can be respectively obtained by two scans of the oral cavity CBCT device. Further, the maxillary image A1 and the mandibular image B1 in the first group of oral structure images A1B1 and the maxillary image A2 and the mandibular image B2 in the second group of oral structure images A2B2 are extracted by segmentation. And a target maxillary tissue image A is obtained based on the configuration between the maxillary tissue image A1 and the maxillary tissue image A2, and a target mandibular tissue image B is obtained based on the mandibular tissue image B1 and the mandibular tissue image B2, and then a target oral cavity structure image AB is obtained according to the target maxillary tissue image A and the target mandibular tissue image B. Thus completing the scanning of a complete target oral structure and meeting the clinical application of more oral cavities.
In the embodiment of the invention, at least two groups of oral cavity structure images are acquired, wherein each group of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one group of oral cavity structure images in the at least two groups of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each group of oral cavity structure images is different; respectively extracting a maxilla tissue image and a mandible tissue image in each group of oral cavity structure images; registering and fusing the maxillary tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target maxillary tissue image; registering and fusing mandible tissue images corresponding to at least two groups of oral cavity structure images to obtain a target mandible tissue image; and fusing the target mandible tissue image and the target mandible tissue image according to the relative position relation between the maxilla tissue and the mandible tissue to obtain a target oral cavity structure image.
Therefore, on the premise that the production cost of the preset oral cavity CBCT equipment is basically unchanged, the limit of the imaging field of single scanning is broken through, and the target oral cavity structure image obtained by configuration fusion after multiple scanning imaging is based. And furthermore, the registration fusion accuracy between the upper jaw bone tissue image and the lower jaw bone tissue image of the oral cavity structure can be fully ensured, meanwhile, the hardware cost of oral cavity CBCT equipment is reduced, and the obtained target oral cavity structure image can meet more oral cavity clinical application requirements.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an imaging device based on multiple scans according to an embodiment of the present invention, where the imaging device based on multiple scans is used in an imaging system of an oral cavity structure, and the device 200 includes:
the obtaining module 201 is configured to obtain at least two sets of oral structure images, where each set of oral structure images includes a maxillary tissue image and a mandibular tissue image, at least one set of oral structure images in the at least two sets of oral structure images includes a relative positional relationship between the maxillary tissue and the mandibular tissue, and each set of oral structure images is different from each other;
an extraction module 202, configured to extract a maxillary image and a mandibular image in each group of oral structure images respectively;
the first registration fusion module 203 is configured to perform registration fusion on the maxillary tissue images corresponding to the at least two groups of oral structure images to obtain a target maxillary tissue image;
the second registration fusion module 204 is configured to perform registration fusion on mandible tissue images corresponding to at least two groups of oral structure images to obtain a target mandible tissue image;
the fusion module 205 is configured to fuse the target mandible tissue image with the target mandible tissue image according to the relative positional relationship between the maxilla tissue and the mandible tissue, so as to obtain a target oral structure image.
Optionally, the extracting module 202 includes:
the segmentation unit is used for respectively carrying out image segmentation on each group of oral cavity structure images so as to separate the maxillary tissue images from the mandibular tissue images in each group of oral cavity structure images, so as to respectively obtain the maxillary tissue images and the mandibular tissue images corresponding to each group of oral cavity structure images.
Optionally, the first registration fusion module 203 includes:
the first registration fusion unit is used for carrying out registration fusion on the maxillary tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain target maxillary tissue images.
Optionally, the second registration fusion module 204 includes:
the second registration fusion unit is used for carrying out registration fusion on the mandible tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target mandible tissue image.
Optionally, the obtaining module 201 includes:
and the scanning unit is used for scanning the oral cavity structure at least twice through a preset oral cavity CBCT device so as to obtain at least two groups of oral cavity structure images.
The imaging device 200 based on multiple scanning provided in the embodiment of the present invention can implement each implementation manner and the corresponding beneficial effects in the foregoing method embodiment, and in order to avoid repetition, the description is omitted here.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 300 includes: the memory 302, the processor 301 and the computer program stored in the memory 302 and executable on the processor 301, the processor 301 when executing the computer program realizes the steps in the imaging method based on multiple scans provided in the above embodiment, and the processor 301 executes the following steps:
acquiring at least two groups of oral cavity structure images, wherein each group of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one group of oral cavity structure images in the at least two groups of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each group of oral cavity structure images is different;
respectively extracting a maxilla tissue image and a mandible tissue image in each group of oral cavity structure images;
registering and fusing the maxillary tissue images corresponding to the at least two groups of oral cavity structure images to obtain a target maxillary tissue image;
registering and fusing mandible tissue images corresponding to at least two groups of oral cavity structure images to obtain a target mandible tissue image;
and fusing the target mandible tissue image and the target mandible tissue image according to the relative position relation between the maxilla tissue and the mandible tissue to obtain a target oral cavity structure image.
Optionally, the step of separately extracting the maxillary and mandibular tissue images in each set of oral structure images performed by the processor 301 includes:
and respectively carrying out image segmentation on each group of oral cavity structure images to separate the maxillary tissue images from the mandibular tissue images in each group of oral cavity structure images so as to respectively obtain the maxillary tissue images and the mandibular tissue images corresponding to each group of oral cavity structure images.
Optionally, the step performed by the processor 301 to perform registration fusion on the maxillary tissue images corresponding to the at least two sets of oral structure images to obtain the target maxillary tissue image includes:
and carrying out registration fusion between the maxillary tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target maxillary tissue image.
Optionally, the step performed by the processor 301 of registering and fusing the mandibular tissue images corresponding to the at least two sets of oral structure images to obtain the target mandibular tissue image includes:
and carrying out registration fusion between mandible tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target mandible tissue image.
Optionally, the step of acquiring at least two sets of oral structure images performed by the processor 301 includes:
and scanning the oral cavity structure at least twice through a preset oral cavity CBCT device to obtain at least two groups of oral cavity structure images.
The electronic device 300 provided in the embodiment of the present invention can implement each implementation manner in the above method embodiment, and corresponding beneficial effects, and in order to avoid repetition, the description is omitted here.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements each process of the imaging method based on multiple scanning provided by the embodiment of the invention, and can achieve the same technical effect, so that repetition is avoided, and no further description is provided here.
Those skilled in the art will appreciate that the processes implementing all or part of the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the processes of the embodiments of the methods as above when executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM) or the like.
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (6)
1. An imaging method based on multiple scans for an imaging system of an oral structure, the method comprising the steps of:
at least two sets of oral cavity structure images are obtained by scanning an oral cavity structure at least twice through a preset oral cavity CBCT device, each set of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one set of oral cavity structure images in the at least two sets of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each set of oral cavity structure images is different;
respectively extracting a maxilla tissue image and a mandible tissue image in each group of oral cavity structure images;
registering and fusing the maxillary tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy to obtain a target maxillary tissue image;
registering and fusing mandible tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target mandible tissue image;
and fusing the target maxillary tissue image and the target mandibular tissue image according to the relative position relation between the maxillary tissue and the mandibular tissue to obtain a target oral cavity structure image.
2. The multiple scan-based imaging method as recited in claim 1, wherein the step of separately extracting the maxillary and mandibular tissue images in each set of oral structure images comprises:
and respectively carrying out image segmentation on each group of oral cavity structure images to separate the maxillary tissue images from the mandibular tissue images in each group of oral cavity structure images so as to respectively obtain the maxillary tissue images and the mandibular tissue images corresponding to each group of oral cavity structure images.
3. An imaging device based on multiple scans for an imaging system of an oral structure, the device comprising the steps of:
the oral cavity structure image acquisition module is used for scanning an oral cavity structure at least twice through a preset oral cavity CBCT device to obtain at least two groups of oral cavity structure images, wherein each group of oral cavity structure images comprises a maxillary tissue image and a mandibular tissue image, at least one group of oral cavity structure images in the at least two groups of oral cavity structure images comprises a relative position relationship between the maxillary tissue and the mandibular tissue, and each group of oral cavity structure images is different;
the extraction module is used for respectively extracting the maxillary tissue image and the mandibular tissue image in each group of oral cavity structure images;
the first registration fusion module is used for carrying out registration fusion on the maxillary tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target maxillary tissue image;
the second registration fusion module is used for carrying out registration fusion on the mandible tissue images in each group of oral cavity structure images through a preset three-dimensional rigid registration strategy so as to obtain a target mandible tissue image;
and the fusion module is used for fusing the target mandible tissue image and the target mandible tissue image according to the relative position relationship between the maxilla tissue and the mandible tissue so as to obtain a target oral cavity structure image.
4. The multi-scan based imaging apparatus of claim 3, wherein said extraction module comprises:
the segmentation unit is used for respectively carrying out image segmentation on each group of oral cavity structure images so as to separate the maxillary tissue images from the mandibular tissue images in each group of oral cavity structure images, so as to respectively obtain the maxillary tissue images and the mandibular tissue images corresponding to each group of oral cavity structure images.
5. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which processor, when executing the computer program, implements the steps of the multi-scan based imaging method as claimed in claim 1 or 2.
6. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps in the multi-scan based imaging method according to claim 1 or 2.
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