CN111513718B - Analysis method and device for craniomaxillary surface state and electronic equipment - Google Patents
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Abstract
The invention discloses a method and a device for analyzing a craniomaxillary surface state and electronic equipment. Wherein, the analysis method comprises the following steps: acquiring a soft tissue sequence image and a black bone sequence image of the head craniomaxillofacial of a target user; establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference so as to obtain the craniomaxillofacial soft tissue information of the head, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user; reproducing a total reference coordinate system in the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial hard tissue information; and analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
Description
Technical Field
The invention relates to the technical field of head shadow analysis, in particular to a method and a device for analyzing a craniomaxillofacial state and electronic equipment.
Background
In the related art, in terms of clinical images, especially in terms of CBCT (Cone beam computed tomography), the technology of easily acquiring three-dimensional data reflecting cranio-maxillofacial information of a user through a computer terminal is continuously advanced, and in the stereo cephalogram measurement process, establishment of a three-dimensional coordinate system and a reference plane is important. In the current technical scheme, when determining the median sagittal plane of the craniomaxillofacial surface, 3 anatomical marking points located on the midline of the craniomaxillofacial surface are usually used for constructing the median sagittal plane, namely, the orbital-ear plane is firstly constructed as an axial plane (horizontal plane), and then the anatomical marking points on the midline of two faces are selected to be the median sagittal plane vertical to the orbital-ear plane, but the method has a great defect, namely, because of the defect of CBCT in soft tissue display, most of the positioning of the craniomaxillofacial median sagittal plane is completed on the skull, because the skull is in an irregular shape, the error and randomness exist in constructing the median sagittal plane by using the 3 anatomical marking points located on the midline of the craniomaxillofacial surface, and in addition, the stability of the marking points is poor in serious craniomaxillofacial deformity.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a craniomaxillofacial state analysis method and device and electronic equipment, and aims to at least solve the technical problem that in the related technology, due to the fact that the irregularity of a skull causes the defect that the error is large in the determination process of the midsagittal plane of the craniomaxillofacial state, the complete craniomaxillofacial state cannot be acquired.
According to an aspect of an embodiment of the present invention, there is provided a craniomaxillary surface condition analysis method including: acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of a target user, wherein the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Imaging (MRI); establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial soft tissue information, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user; reproducing a total reference coordinate system in the black bone sequence image, and performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial hard tissue information; and analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
Optionally, the step of establishing an overall reference coordinate system in the soft tissue sequence image and the black bone sequence image comprises: selecting a brain midline meeting the symmetrical structure of the two sides of the head of the user, or positioning the brain midline of the head structure of the virtual anatomic user; defining a median sagittal plane from the brain midline; determining a projection point of a user head target identification point on the median sagittal plane according to predefined user head modular classification data, and taking the projection point as a coordinate origin; taking the coordinate origin and the nasal root point of the head of the user as a plane perpendicular to a median sagittal plane as a horizontal plane; and constructing the total reference coordinate system in the soft tissue sequence image and the black bone sequence image based on the coordinate origin and the horizontal plane.
Optionally, the step of acquiring the soft tissue sequence image and the black bone sequence image of the craniomaxillofacial of the head of the target user includes: after detecting that the supine position of the target user meets a preset supine condition, detecting the head direction and the head position of the target user; analyzing whether the oral cavity opening and closing state of the target user meets a preset opening and closing state or not based on the head direction and the head position of the target user; under the condition that the oral cavity opening and closing state of the target user is determined to meet the preset opening and closing state, performing MRI (magnetic resonance imaging) soft tissue conventional sequence scanning on the head of the target user by adopting a gradient echo sequence to obtain a head craniomaxillofacial soft tissue sequence image; or, under the condition that the oral cavity opening and closing state of the target user is determined to meet the preset opening and closing state, performing MRI scanning on the head of the target user by adopting a low flip angle target parameter to obtain a black bone sequence image of the craniomaxillofacial surface of the head.
Optionally, the three-dimensional analysis of the craniomaxillofacial soft tissue in the soft tissue sequence image to obtain the craniomaxillofacial soft tissue information by using the total reference coordinate system includes: segmenting muscle morphology of the face of the user and determining muscle volume of the face of the user; analyzing muscle symmetry of the user's face based on the muscle morphology, muscle volume, and facial fat distribution range; determining soft tissue information of a cranio-maxillofacial area of a head based on muscle symmetry, muscle morphology, muscle volume, and joint parameters of the user's face.
According to another aspect of the embodiments of the present invention, there is also provided an analysis apparatus of craniomaxillofacial conditions, including: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of a target user, and the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI); the first establishing unit is used for establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial soft tissue information, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user; the second establishing unit is used for reproducing a total reference coordinate system in the black bone sequence image, and performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial hard tissue information; and the analysis unit is used for analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
Optionally, the first establishing unit includes: the first selection module is used for selecting the brain midline which meets the symmetrical structure of the two sides of the head of the user, or positioning the brain midline of the head structure of the virtual anatomic user; a first determination module to define a median sagittal plane from the brain midline; the second determination module is used for determining a projection point of a target identification point of the head of the user on the median sagittal plane according to the predefined modular classification data of the head of the user, and taking the projection point as a coordinate origin; a third determining module, configured to use the coordinate origin and a plane perpendicular to a midsagittal plane and at the nasion point of the head of the user as a horizontal plane; and the construction module is used for constructing the total reference coordinate system in the soft tissue sequence image and the black bone sequence image based on the coordinate origin and the horizontal plane.
Optionally, the obtaining unit includes: the first detection module is used for detecting the head direction and the head position of the target user after detecting that the supine position of the target user meets a preset supine condition; the first analysis module is used for analyzing whether the oral cavity opening and closing state of the target user meets a preset opening and closing state or not based on the head direction and the head position of the target user; the first scanning module is used for carrying out MRI (magnetic resonance imaging) soft tissue conventional sequence scanning on the head of the target user by adopting a gradient echo sequence under the condition that the oral cavity opening and closing state of the target user is determined to meet a preset opening and closing state so as to obtain a head craniomaxillofacial soft tissue sequence image; or the second scanning module is used for carrying out MRI scanning on the head of the target user by adopting the target parameter with the low flip angle under the condition that the oral cavity opening and closing state of the target user is determined to meet the preset opening and closing state, so as to obtain the black bone sequence image of the craniomaxillofacial surface of the head.
Optionally, the first establishing unit further includes: the segmentation module is used for segmenting the muscle form of the face of the user and determining the muscle volume of the face of the user; a second analysis module for analyzing muscle symmetry of the user's face based on the muscle morphology, muscle volume, and facial fat distribution range; a fourth determination module for determining soft tissue information of the craniomaxillofacial area of the head based on the muscle symmetry, the muscle morphology, the muscle volume, and the joint parameters of the face of the user.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of analyzing craniomaxillary conditions of any of the above via execution of the executable instructions.
According to another aspect of the embodiments of the present invention, there is also provided a computer storage medium including a stored program, wherein the program, when executed, controls an apparatus in which the computer storage medium is located to perform any one of the above analysis methods for craniomaxillofacial conditions.
In the embodiment of the invention, when analyzing whether the head craniomaxillofacial of the user is deformed, the soft tissue sequence image and the black bone sequence image of the head craniomaxillofacial of the target user are firstly obtained, establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and referring to the total reference coordinate system, three-dimensional analysis is carried out on the craniomaxillofacial soft tissue in the soft tissue sequence image to obtain the head craniomaxillofacial soft tissue information, reproducing the total reference coordinate system in the black bone sequence image, performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference to obtain the head craniomaxillofacial hard tissue information, the second reference coordinate system accords with head integration and modularization characteristics of the user, and whether the head craniomaxillofacial surface of the target user is abnormally deformed or not is analyzed based on soft tissue information and hard tissue information of the head craniomaxillofacial surface. In the embodiment, a reference coordinate system (based on human head integration and modularization characteristics) is established by scanning a double-sequence image obtained by the head craniomaxillofacial of a user, the soft and hard tissues of the craniomaxillofacial are analyzed by taking the reference coordinate system as a reference, whether the head craniomaxillofacial is abnormally deformed or not is determined, the craniomaxillofacial soft and hard tissues are comprehensively and accurately analyzed, the analysis work of the craniomaxillofacial is automatically completed, the analysis efficiency of the craniomaxillofacial state is improved, and the technical problem that the comprehensive craniomaxillofacial state cannot be obtained due to the fact that the error is large in the determination process of the central sagittal plane of the craniomaxillofacial caused by the irregularity of the skull in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic illustration of an alternative method of analyzing craniomaxillary surface conditions in accordance with an embodiment of the present invention;
FIG. 2 is a schematic view of an alternative craniomaxillary surface condition analysis device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
To facilitate understanding of the invention by those skilled in the art, some terms or nouns referred to in the embodiments of the invention are explained below:
CBCT, Cone beam computed tomography, also called oral CT, is a Cone beam projection computerized tomography apparatus for realizing data tomographic reconstruction and obtaining three-dimensional oral images.
MRI, Magnetic Resonance Imaging, employs multi-sequence, direct multi-aspect display of images of the site under examination.
MRI-only, single nuclear magnetism, uses MRI as the only original data source, does not need CT scanning, but utilizes original MRI and its synthetic virtual CT image, analyzes the user's brain craniomaxillofacial state.
The embodiment of the invention can be applied to medical equipment capable of carrying out nuclear magnetic scanning or specific nuclear magnetic scanning, and the magnetic resonance image MRI is obtained through scanning, so that the craniomaxillofacial state is analyzed. The analysis method of the craniomaxillofacial state provided by the embodiment of the invention can also be applied to a mononuclear sequence three-dimensional head shadow measurement system based on head structure integration and modularization, so as to realize three-dimensional analysis of the head shadow.
In the prior art, in the three-dimensional cephalogram measurement based on CBCT, the determination of the median sagittal plane has the problems of large error, strong randomness and poor stability (the stability of a mark point in severe craniomaxillofacial deformity is poor). Aiming at the problems, the embodiment of the invention adopts a large number of experiments to determine that the brain-cranium-jaw-face and nerve-muscle-skeleton of a human body are an integrated evolutionary development system and an interaction system, and the development of the head of the human body is an integrated complex process in which multiple genes participate. The induction and regulation of facial morphology by signal molecules from the human brain is variously confirmed, and the brain is synchronized with the development of a nerve cranium or a facial cranium and is indirectly connected with facial muscles. In the application, the craniomaxillofacial state analysis is carried out by the characteristic that objective and unique modular partitions different from other primates exist in the human head, the connection in the same module is tighter, and the connection between different modules is relatively loose, for example, the skull is originated from different germ layers along the front-back axis (craniocaudal axis), neural crest cells (ectoderm) are in the front part (head) of the skull, and mesoderm is in the back part (tail), and the boundary of the neural crest cells and the mesoderm is located at the sagittal suture on the back side and is located near the pituitary fossa on the ventral side. The presence of a module-specific partition of the human head can be determined using anatomical network analysis methods: the anterior skull and the middle upper face form the same evolutionary development module, the mandible and the posterior skull form another anatomical and functional module, the face above the eyebrow forms a single neuromuscular module, and the middle face and the lower part are muscle modules on the left side and the right side.
The application aims at the problems of the cephalometric process and the human brain modularization characteristics in the prior art, searches for a breakthrough from the two aspects of the head structure and the imaging technology, is inspired by new ideas in other fields by deeply learning the biological rule derived from the head structure of the human, and provides a cranio-maxillofacial state analysis scheme on the basis of advanced research and pre-experiments, the cranio-maxillofacial state analysis method is based on the double-sequence nuclear magnetic three-dimensional head photogrammetry based on the human head structure integration and modularization characteristics, and fundamentally solves the problems of radiation exposure, median sagittal plane, lack of soft tissue information and the like which cannot be exceeded in the three-dimensional head photogrammetry research based on CBCT at present by constructing a three-dimensional head shadow reference coordinate, two sequence images of a soft tissue sequence and a black bone sequence are obtained by direct scanning, and a double-sequence nuclear magnetic reference coordinate system which accords with the head structure characteristics and has clinical operability is automatically positioned and established by a computer as a reference, according to the normal value database, performing automatic three-dimensional analysis on the craniomaxillofacial soft tissue in an MRI soft tissue sequence, performing automatic three-dimensional analysis on the craniomaxillofacial hard tissue in an MRI black bone sequence, and accurately analyzing the state of the craniomaxillofacial of the head of the user. The present invention will be described in detail with reference to examples.
Example one
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for analyzing craniomaxillofacial conditions, wherein the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer-executable instructions, and wherein, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than that illustrated.
FIG. 1 is a schematic view of an alternative craniomaxillary surface condition analysis method according to an embodiment of the invention, as shown in FIG. 1, comprising the steps of:
step S102, acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of a target user, wherein the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI);
step S104, establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference to obtain the head craniomaxillofacial soft tissue information, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user;
s106, reproducing a total reference coordinate system in the black bone sequence image, and performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference to obtain the head craniomaxillofacial hard tissue information;
and S108, analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
Through the steps, when whether the head craniomaxillofacial surface of the user is deformed or not is analyzed, a soft tissue sequence image and a black bone sequence image of the head craniomaxillofacial surface of the target user are firstly obtained, a total reference coordinate system is established in the soft tissue sequence image and the black bone sequence image, the craniomaxillofacial soft tissue is subjected to three-dimensional analysis in the soft tissue sequence image by taking the total reference coordinate system as a reference, so that the soft tissue information of the head craniomaxillofacial surface is obtained, the total reference coordinate system is reproduced in the black bone sequence image, the craniomaxillofacial hard tissue is subjected to three-dimensional analysis in the black bone sequence image by taking the total reference coordinate system as a reference, so that the hard tissue information of the head craniomaxillofacial surface is obtained, and whether the head craniomaxillofacial surface of the target user is deformed or not is analyzed on the basis of. In the embodiment, a reference coordinate system (based on human head integration and modularization characteristics) is established by scanning a double-sequence image obtained by the head craniomaxillofacial of a user, the soft and hard tissues of the craniomaxillofacial are analyzed by taking the reference coordinate system as a reference, whether the head craniomaxillofacial is abnormally deformed or not is determined, the craniomaxillofacial soft and hard tissues are comprehensively and accurately analyzed, the analysis work of the craniomaxillofacial is automatically completed, the analysis efficiency of the craniomaxillofacial state is improved, and the technical problem that the comprehensive craniomaxillofacial state cannot be obtained due to the fact that the error is large in the determination process of the central sagittal plane of the craniomaxillofacial caused by the irregularity of the skull in the related technology is solved.
The present invention will be described in detail with reference to the above steps.
Step S102, acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of the head of a target user, wherein the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI).
A craniomaxillofacial surface of a user comprising a plurality of hard tissues and surrounding external soft tissues, wherein the hard tissues include, but are not limited to: mandible, maxilla, teeth, etc.
Optionally, the step of obtaining the head craniomaxillofacial soft tissue sequence image and the black bone sequence image of the target user includes: after the supine position of the target user meets a preset supine condition, detecting the head direction and the head position of the target user; analyzing whether the oral cavity opening and closing state of the target user meets a preset opening and closing state or not based on the head direction and the head position of the target user; under the condition that the oral cavity opening and closing state of the target user is determined to meet the preset opening and closing state, performing MRI (magnetic resonance imaging) soft tissue conventional sequence scanning on the head of the target user by adopting a gradient echo sequence to obtain a head craniomaxillofacial soft tissue sequence image; or, under the condition that the oral cavity opening and closing state of the target user meets the preset opening and closing state, the head of the target user is subjected to MRI scanning by adopting the target parameter with the low flip angle, so that a black bone sequence image of the craniomaxillofacial area of the head is obtained.
According to the embodiment of the invention, fat and water can be inhibited by using a low turnover angle to obtain a uniform soft tissue background, the black bone imaging sequence provides a mode for replacing CT scanning, and in order to simultaneously acquire soft and hard tissue information of a user, the soft tissue and black bone imaging sequence is scanned by the user.
The preset supine condition includes: the user lies flat on the scanning and detecting table and is in a supine position, and the direction and the position of the head are basically the same. The oral opening and closing state may include: the teeth are in the median occlusal position. A scan is performed with the MRI apparatus, the scan range including the entire head of the user, using a 3D gradient echo sequence.
The sequence image related to the present application is an image obtained by nuclear magnetic scanning, and the obtained sequence image includes: soft tissue sequence images and black bone sequence images. For black bone sequence images, fat and water are suppressed by using a low flip angle to obtain a uniform soft tissue background (currently, bone tissue is shown less clearly by nuclear magnetic scan sequences, which effectively suppresses the ideal signals from fat and water, makes cortical bone appear black and recognizable, makes soft tissue appear uniformly gray, and this MRI sequence makes bone tissue appear a discernible black by improving image contrast between bone and other soft tissue, reducing contrast between different soft tissues, and is therefore referred to as a "black bone" sequence.
Step S104, establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference to obtain the head craniomaxillofacial soft tissue information, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user;
as an alternative embodiment of the present invention, the step of establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image includes: selecting a brain midline meeting the symmetrical structure of the two sides of the head of the user, or positioning the brain midline of the head structure of the virtual anatomic user; defining a median sagittal plane from the midline of the brain; determining a projection point of a user head target identification point on a median sagittal plane according to predefined user head modular classification data, and taking the projection point as a coordinate origin; taking a plane which is perpendicular to a median sagittal plane and has a coordinate origin and a nose root point of the head of the user as a horizontal plane; based on the coordinate origin and the horizontal plane, a total reference coordinate system is constructed in the soft tissue sequence image and the black bone sequence image.
There are many methods for midline brain positioning, the first is to select a structure that satisfies bilateral symmetry to the greatest extent as the midline brain; another type is to define the midline of the brain by locating the anatomical structures that actually exist.
After the brain midline is defined, a three-dimensional reference coordinate system can be constructed according to the incidence relation between the brain midline and the median sagittal plane of the human head by the characteristics of human head integration and modularization.
The modular structure of the human head is present, and the high correlation of the midline structures of the forebrain, the forecranium and the mid-upper face of the human body is fully embodied under physiological and pathological conditions, wherein the midline is the first established structural boundary in the neural plate, and the spinal cord foreplate sets the midline of the face by generating, for example, Shh (Sonic hedgehog, Shh) signal molecules, and simultaneously induces the division of the forebrain into two hemispheres. This midline structure is the axis of self-development of the vertebrate embryo. Abnormalities in facial midline structures often co-exist with abnormalities in brain midline structures. According to the embodiment of the invention, according to the consistency of the brain and the facial midline, the craniomaxillofacial state is analyzed by replacing the fused facial midline with the brain midline in the anatomy, an analysis result is obtained, and the brain midline and the facial midline are connected by using MRI, so that the process of three-dimensional cephalometric measurement research is greatly accelerated, and the craniomaxillofacial deformity can be deeply explored.
The head target identification point may be a certain identification point of the head of the user, taking a sphenoid saddle point at a junction of the anterior and posterior craniums as an example, determining a projection of the sphenoid saddle point at the junction of the anterior and posterior craniums on a median sagittal plane as an origin of coordinates, and constructing a three-dimensional coordinate system by taking the origin of coordinates and a plane perpendicular to the median sagittal plane as a horizontal plane through a nasion point.
In soft tissue sequences, the median sagittal plane is defined with the midline of the brain, and according to the human head modularity feature, for example, the projection of the sphenoid saddle point at the anterior-posterior cranium junction in the median sagittal plane is used as the origin of coordinates, and a three-dimensional coordinate system is constructed by locating the origin of coordinates and the nasion point in the black bone sequence and the plane perpendicular to the median sagittal plane is used as the horizontal plane.
Alternatively, the three-dimensional analysis of the craniomaxillofacial soft tissue in the soft tissue sequence image to obtain the craniomaxillofacial soft tissue information by using the total reference coordinate system includes: segmenting muscle morphology of the face of the user and determining muscle volume of the face of the user; analyzing muscle symmetry of the user's face based on muscle morphology, muscle volume, and facial fat distribution range; soft tissue information of the cranio-maxillofacial area of the head is determined based on muscle symmetry, muscle morphology, muscle volume and joint parameters of the face of the user.
Wherein, when analyzing the muscle form and the muscle volume of the user's face, include: measuring the muscle shape and volume of the face of the user (for example, using MRI to perform shape and volume measurement on the facial muscle by segmenting and measuring the facial muscle), and selecting the part with higher measurement priority (for example, segmenting and measuring the temporal muscle and the masseter muscle which are most easily segmented in all samples) because the facial muscle is more; obtaining the normal value range of the average form and volume of each muscle by using the normal control group data; the morphological and volume changes of the muscles of the craniomaxillofacial surfaces of each head are analyzed with reference to the normal values of the muscle morphology and the normal values of the volume.
When analyzing the position, the direction and the symmetry of the muscle of the face of the user, the method comprises the following steps: evaluating the positions and directions of the temporalis muscles and the masseter muscles in each group of samples relative to a global coordinate system; in the users of the craniomaxillofacial asymmetric group, the shapes, the volumes, the positions and the directions of the temporalis muscles and the masseter muscles on the left and the right sides are compared, and the difference between the temporalis muscles and the masseter muscles is statistically analyzed. And comparing with a normal control group, and judging the characteristic changes of muscles on two side parts of the craniomaxillofacial asymmetric deformity.
When analyzing the symmetry of the facial fat of the user, the method comprises the following steps: and (3) performing three-dimensional direction delineation on fat distribution ranges on two sides of the sample face of the craniomaxillofacial asymmetric group, then quantitatively measuring and comparing, and analyzing the symmetry of fat on two sides of the craniomaxillofacial asymmetric malformed face.
And S106, reproducing a total reference coordinate system in the black bone sequence image, and performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference to obtain the head craniomaxillofacial hard tissue information.
The method for analyzing the black bone sequence image to obtain hard tissue information comprises the following steps: and (4) carrying out quantitative analysis on hard tissues of all samples, obtaining a normal value range by using a normal control group, and analyzing the craniomaxillofacial state.
In analyzing hard tissue information, the quantitative analysis of hard tissue elements includes the size, position, orientation, shape and symmetry of the maxilla and mandible, which consists of two parts, self-symmetry and systematic symmetry. Self-symmetry is the symmetry of the facial hard tissue elements with respect to a local coordinate system. System symmetry is the alignment of the local coordinate system with respect to the reference coordinate system. For example, for the sizes of the maxilla and mandible, the length, width and height of the maxilla need to be determined; when analyzing jaw orientation, jaw rotation (about the vertical axis), torsion (about the anteroposterior axis), and inclination (about the lateral axis) can be analyzed.
When hard tissue information is analyzed, analysis is carried out on the articular disc, the articular space, the joint cavity effusion, the condylar bone and the like of the temporomandibular joint on all images, the reference image of the temporomandibular joint is combined with the temporomandibular joint hard tissue image reconstructed by the synthetic CT, and the joint condition of the craniomaxillofacial head is fully evaluated.
And S108, analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
According to the embodiment of the invention, a reference coordinate system which accords with the head integration and modularization characteristics of a human body is established through automatic positioning, the reference coordinate system is used as a reference, three-dimensional analysis is carried out on cranio-maxillofacial soft tissues and hard tissues in an MRI image, the basic information of the brain, the skull, the jaw and the face of the human body can be analyzed more accurately, and after comparison and reference, the state of the cranio-maxillofacial surface of the head of a user can be determined, and whether the cranio-maxillofacial surface of the head is abnormally deformed or not can be analyzed.
Based on the characteristics of human head structure integration and modularization, the method can realize full-automatic double-sequence three-dimensional head shadow measurement analysis, fundamentally solves the problems of irreparable radiation exposure, median sagittal plane, lack of soft tissue information and the like in the current CBCT-based three-dimensional head shadow measurement research, builds a bridge for brain surface research, and provides a brand-new method and a scientific visual angle for the research of brain-cranium-maxillofacial growth and development, deformity generation, accurate treatment and the like.
The invention is illustrated below by means of a further alternative embodiment.
Example two
FIG. 2 is a schematic view of an alternative craniomaxillary surface condition analysis device according to an embodiment of the present invention, as illustrated in FIG. 2, comprising: an acquisition unit 21, a first establishing unit 23, a second establishing unit 25, an analyzing unit 27, wherein,
an acquiring unit 21, configured to acquire a soft tissue sequence image and a black bone sequence image of a craniomaxillofacial area of a head of a target user, where the soft tissue sequence image and the black bone sequence image are image type magnetic resonance images MRI;
the first establishing unit 23 is configured to establish a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, perform three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by referring to the total reference coordinate system, and obtain head craniomaxillofacial soft tissue information, where the total reference coordinate system conforms to the head integration and modularization characteristics of the user;
a second establishing unit 25, configured to reproduce a total reference coordinate system in the black bone sequence image, and perform three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image with reference to the total reference coordinate system, so as to obtain information of the head craniomaxillofacial hard tissue;
and the analysis unit 27 is used for analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
The craniomaxillofacial state analysis device can firstly acquire a soft tissue sequence image and a black bone sequence image of the head craniomaxillofacial of a target user through the acquisition unit 21 when analyzing whether the head craniomaxillofacial of the user is deformed, establish a total reference coordinate system in the soft tissue sequence image and the black bone sequence image through the first establishment unit 23, perform three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as reference so as to obtain the soft tissue information of the head craniomaxillofacial, reproduce the total reference coordinate system in the black bone sequence image through the second establishment unit 25, perform three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as reference so as to obtain the hard tissue information of the head craniomaxillofacial, and finally perform three-dimensional analysis on the basis of the soft tissue information and the hard tissue information of the head craniomaxillofacial through the analysis unit, and analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not. In the embodiment, a reference coordinate system (based on human head integration and modularization characteristics) is established by scanning a double-sequence image obtained by the head craniomaxillofacial of a user, the soft and hard tissues of the craniomaxillofacial are analyzed by taking the reference coordinate system as a reference, whether the head craniomaxillofacial is abnormally deformed or not is determined, the craniomaxillofacial soft and hard tissues are comprehensively and accurately analyzed, the analysis work of the craniomaxillofacial is automatically completed, the analysis efficiency of the craniomaxillofacial state is improved, and the technical problem that the comprehensive craniomaxillofacial state cannot be obtained due to the fact that the error is large in the determination process of the central sagittal plane of the craniomaxillofacial caused by the irregularity of the skull in the related technology is solved.
Optionally, the first establishing unit includes: the first selection module is used for selecting the brain midline which meets the symmetrical structure of the two sides of the head of the user, or positioning the brain midline of the head structure of the virtual anatomic user; a first determination module for defining a median sagittal plane from the brain midline; the second determination module is used for determining a projection point of the target identification point of the head of the user on the median sagittal plane according to the predefined modular classification data of the head of the user, and taking the projection point as a coordinate origin; a third determining module, configured to use the coordinate origin and a plane perpendicular to the midsagittal plane and at the nasion point of the head of the user as a horizontal plane; and the construction module is used for constructing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image based on the coordinate origin and the horizontal plane.
Another optional, the obtaining unit includes: the first detection module is used for detecting the head direction and the head position of a target user after the supine position of the target user meets a preset supine condition; the first analysis module is used for analyzing whether the oral cavity opening and closing state of the target user meets a preset opening and closing state or not based on the head direction and the head position of the target user; the system comprises a first scanning module, a second scanning module and a third scanning module, wherein the first scanning module is used for carrying out MRI (magnetic resonance imaging) soft tissue conventional sequence scanning on the head of a target user by adopting a gradient echo sequence under the condition that the oral cavity opening and closing state of the target user meets a preset opening and closing state so as to obtain a head craniomaxillofacial soft tissue sequence image; or the second scanning module is used for carrying out MRI scanning on the head of the target user by adopting the target parameter with the low flip angle under the condition that the oral cavity opening and closing state of the target user is determined to meet the preset opening and closing state so as to obtain the black bone sequence image of the craniomaxillofacial surface of the head.
Optionally, the first establishing unit further includes: the segmentation module is used for segmenting the muscle form of the face of the user and determining the muscle volume of the face of the user; the second analysis module is used for analyzing the muscle symmetry of the face of the user based on the muscle form, the muscle volume and the face fat distribution range; and the fourth determination module is used for determining the soft tissue information of the craniomaxillofacial surface of the head based on the muscle symmetry, the muscle form, the muscle volume and the joint parameters of the face of the user.
The craniomaxillofacial condition analysis device may further include a processor and a memory, the acquiring unit 21, the first establishing unit 23, the second establishing unit 25, the analyzing unit 27, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory. The kernel can be set to be one or more, and whether the head craniomaxillofacial surface of the target user is abnormally deformed or not is analyzed on the basis of the soft tissue information and the hard tissue information of the head craniomaxillofacial surface by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to perform the method of analyzing a craniomaxillary surface condition of any of the above via execution of executable instructions.
According to another aspect of the embodiments of the present invention, there is also provided a computer storage medium including a stored program, wherein the program, when executed, controls an apparatus in which the computer storage medium is located to perform any one of the above analysis methods of craniomaxillary surface condition.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of a target user, wherein the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Imaging (MRI); establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference to obtain the craniomaxillofacial soft tissue information of the head, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user; reproducing a total reference coordinate system in the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial hard tissue information; and analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A method of analyzing craniomaxillofacial conditions, comprising:
acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of a target user, wherein the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Imaging (MRI);
establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial soft tissue information, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user;
reproducing a total reference coordinate system in the black bone sequence image, and performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial hard tissue information;
analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the soft tissue information and the hard tissue information of the head craniomaxillofacial,
taking the total reference coordinate system as a reference, and performing three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image to obtain the head craniomaxillofacial soft tissue information, wherein the three-dimensional analysis comprises the following steps: segmenting muscle morphology of the face of the user and determining muscle volume of the face of the user; analyzing muscle symmetry of the user's face based on the muscle morphology, muscle volume, and facial fat distribution range; determining soft tissue information of a cranio-maxillofacial area of a head based on muscle symmetry, muscle morphology, muscle volume and joint parameters of the face of the user,
in analyzing muscle morphology and muscle volume of a user's face, comprising: measuring muscle morphology and volume of a user's face; obtaining the normal value range of the average form and volume of each muscle by using the normal control group data; analyzing the shape and volume change of the head craniomaxillofacial muscles by referring to the normal value of the muscle shape and the normal value of the volume;
in analyzing hard tissue information, the quantitative analysis of hard tissue elements includes the size, position, orientation, shape and symmetry of the maxilla and mandible, the symmetry consisting of two parts, self-symmetry, which is the symmetry of the facial hard tissue elements with respect to a local coordinate system, and system symmetry, which is the alignment of the local coordinate system with respect to a reference coordinate system.
2. The analysis method according to claim 1, wherein the step of establishing a total reference coordinate system in the soft tissue sequence images and black bone sequence images comprises:
selecting a brain midline meeting the symmetrical structure of the two sides of the head of the user, or positioning the brain midline of the head structure of the virtual anatomic user;
defining a median sagittal plane from the brain midline;
determining a projection point of a user head target identification point on the median sagittal plane according to predefined user head modular classification data, and taking the projection point as a coordinate origin;
taking the coordinate origin and the nasal root point of the head of the user as a plane perpendicular to a median sagittal plane as a horizontal plane;
constructing the total reference coordinate system in the soft tissue sequence image and the black bone sequence image based on the origin of coordinates and a horizontal plane.
3. The analysis method according to claim 1, wherein the step of acquiring the images of the sequence of soft tissues and the sequence of black bones of the craniomaxillofacial area of the target user comprises:
after detecting that the supine position of the target user meets a preset supine condition, detecting the head direction and the head position of the target user;
analyzing whether the oral cavity opening and closing state of the target user meets a preset opening and closing state or not based on the head direction and the head position of the target user;
under the condition that the oral cavity opening and closing state of the target user is determined to meet the preset opening and closing state, performing MRI (magnetic resonance imaging) soft tissue conventional sequence scanning on the head of the target user by adopting a gradient echo sequence to obtain a head craniomaxillofacial soft tissue sequence image; and the number of the first and second groups,
and under the condition that the oral cavity opening and closing state of the target user meets the preset opening and closing state, carrying out MRI scanning on the head of the target user by adopting a low flip angle target parameter so as to obtain a black bone sequence image of the craniomaxillofacial surface of the head.
4. An apparatus for analyzing craniomaxillofacial conditions, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a soft tissue sequence image and a black bone sequence image of the craniomaxillofacial surface of a target user, and the image types of the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI);
the first establishing unit is used for establishing a total reference coordinate system in the soft tissue sequence image and the black bone sequence image, carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial soft tissue information, wherein the total reference coordinate system accords with the head integration and modularization characteristics of a user;
the second establishing unit is used for reproducing a total reference coordinate system in the black bone sequence image, and performing three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence image by taking the total reference coordinate system as a reference so as to obtain the head craniomaxillofacial hard tissue information;
an analysis unit for analyzing whether the head craniomaxillofacial of the target user has abnormal deformation based on the soft tissue information and the hard tissue information of the head craniomaxillofacial,
the first establishing unit further includes: the segmentation module is used for segmenting the muscle form of the face of the user and determining the muscle volume of the face of the user; a second analysis module for analyzing muscle symmetry of the user's face based on the muscle morphology, muscle volume, and facial fat distribution range; a fourth determination module for determining soft tissue information of a craniomaxillofacial area of a head based on muscle symmetry, muscle morphology, muscle volume, and joint parameters of the face of the user,
in analyzing muscle morphology and muscle volume of a user's face, comprising: measuring muscle morphology and volume of a user's face; obtaining the normal value range of the average form and volume of each muscle by using the normal control group data; analyzing the shape and volume change of the head craniomaxillofacial muscles by referring to the normal value of the muscle shape and the normal value of the volume;
in analyzing hard tissue information, the quantitative analysis of hard tissue elements includes the size, position, orientation, shape and symmetry of the maxilla and mandible, the symmetry consisting of two parts, self-symmetry, which is the symmetry of the facial hard tissue elements with respect to a local coordinate system, and system symmetry, which is the alignment of the local coordinate system with respect to a reference coordinate system.
5. The analysis device according to claim 4, wherein the first establishing unit includes:
the first selection module is used for selecting the brain midline which meets the symmetrical structure of the two sides of the head of the user, or positioning the brain midline of the head structure of the virtual anatomic user;
a first determination module to define a median sagittal plane from the brain midline;
the second determination module is used for determining a projection point of a target identification point of the head of the user on the median sagittal plane according to the predefined modular classification data of the head of the user, and taking the projection point as a coordinate origin;
a third determining module, configured to use the coordinate origin and a plane perpendicular to a midsagittal plane and at the nasion point of the head of the user as a horizontal plane;
and the construction module is used for constructing the total reference coordinate system in the soft tissue sequence image and the black bone sequence image based on the coordinate origin and the horizontal plane.
6. The analysis device according to claim 4, wherein the acquisition unit includes:
the first detection module is used for detecting the head direction and the head position of the target user after detecting that the supine position of the target user meets a preset supine condition;
the first analysis module is used for analyzing whether the oral cavity opening and closing state of the target user meets a preset opening and closing state or not based on the head direction and the head position of the target user;
the first scanning module is used for carrying out MRI (magnetic resonance imaging) soft tissue conventional sequence scanning on the head of the target user by adopting a gradient echo sequence under the condition that the oral cavity opening and closing state of the target user is determined to meet a preset opening and closing state so as to obtain a head craniomaxillofacial soft tissue sequence image; and the number of the first and second groups,
and the second scanning module is used for carrying out MRI scanning on the head of the target user by adopting a low flip angle target parameter under the condition that the oral cavity opening and closing state of the target user is determined to meet a preset opening and closing state so as to obtain a head craniomaxillofacial black bone sequence image.
7. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of analysis of craniomaxillary surface condition of any one of claims 1 to 3 via execution of the executable instructions.
8. A computer storage medium, characterized in that the computer storage medium comprises a stored program, wherein the program when executed controls an apparatus in which the computer storage medium is located to perform the method of analyzing craniomaxillary surface condition of any one of claims 1 to 3.
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