CN111513719A - Analysis method and device for craniomaxillary surface state and electronic equipment - Google Patents
Analysis method and device for craniomaxillary surface state and electronic equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
- A61B5/004—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1073—Measuring volume, e.g. of limbs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1077—Measuring of profiles
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
- A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
- A61B5/4542—Evaluating the mouth, e.g. the jaw
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 craniomaxillofacial surface of the head of a target user, wherein the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI); determining a brain midline of a target user, and positioning a median sagittal plane of a craniomaxillofacial surface of a head by adopting the brain midline; and analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the median sagittal plane. The invention solves the technical problem that the complete craniomaxillofacial state cannot be acquired due to the defect of large error in the determination process of the midsagittal plane of the craniomaxillofacial caused by the irregularity of the skull in the related technology.
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 a craniomaxillofacial surface of a head of a target user, wherein the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI); determining a brain midline of the target user, and positioning a median sagittal plane of the cranio-maxillofacial area using the brain midline; analyzing whether the head cranio-maxillofacial surface of the target user has abnormal deformation or not based on the median sagittal 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 orientation and the head position of the target user; analyzing the oral cavity opening and closing state of the target user based on the head orientation and the head position of the target user; and performing double-sequence scanning of the MRI soft tissue sequence and the black bone sequence on the craniomaxillofacial surface of the head of the target user to obtain a soft tissue sequence image and a black bone sequence image.
Optionally, the step of determining a brain midline of the target user and using the brain midline to locate the median sagittal plane of the cranio-maxillofacial surface comprises: extracting a head structure of the target user; based on the head structure, locating a brain midline structure of the target user's head after virtual dissection; determining the mapping relation between the brain midline and the facial midline; locating a median sagittal plane of the craniomaxillofacial surface based on the brain midline structure and the mapping relationship.
Optionally, the step of locating the median sagittal plane of the craniomaxillofacial surface based on the brain midline structure and the mapping relationship comprises: determining at least one brain midline based on the brain midline structure and the mapping; locating a craniomaxillofacial brain midline with the highest consistency with the facial midline in the soft tissue sequence images and the black bone sequence images; determining a craniomaxillofacial midline corresponding to the craniomaxillofacial cerebral midline, and locating the median sagittal plane based on the craniomaxillofacial midline and a facial midline identification point.
Optionally, positioning the median sagittal plane of the craniomaxillofacial with the midline comprises: receiving brain midline structure parameters input by an external device, wherein the brain midline structure parameters comprise: marking points of the cerebral sickle at the front part of the pituitary fossa of the head or the midline of the brain, wherein the marking points of the midline of the brain are points which pass through the cerebral sickle at the front part of the pituitary fossa and the midline of the craniofacial part to the maximum extent; determining the mapping relation between the brain midline and the facial midline; and determining a craniomaxillofacial sagittal plane of the target user based on the brain midline structural parameters and the mapping relation.
Optionally, after locating the median sagittal plane of the craniomaxillofacial surface using the brain midline, the analysis method further comprises: displaying craniomaxillofacial midline and facial midline identification points of a target user; receiving the brain midline adjustment information input by external equipment; and adjusting the facial midline and cranio-maxillofacial sagittal plane of the target user based on the brain midline adjustment information.
Optionally, the step of analyzing whether the head cranio-maxillofacial surface of the target user has abnormal deformation based on the median sagittal plane includes: taking the median sagittal plane as a reference, and carrying out three-dimensional analysis on craniomaxillofacial soft tissues in a soft tissue sequence to obtain the head craniomaxillofacial soft tissue information; taking the median sagittal plane as a reference, and carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in a black bone sequence 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 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 includes: converting a median sagittal plane in a soft tissue sequence and a black bone sequence based on the soft tissue information and the hard tissue information of the craniomaxillofacial; and analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the converted soft tissue sequence and the converted black bone sequence.
According to another aspect of the embodiments of the present invention, there is also provided an analysis apparatus of craniomaxillofacial conditions, including: the system 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 soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI); a determining unit for determining a brain midline of the target user and using the brain midline to locate a median sagittal plane of the craniomaxillofacial; and the analysis unit is used for analyzing whether the head craniomaxillofacial surface of the target user has abnormal deformation or not on the basis of the median sagittal plane.
Optionally, the obtaining unit includes: the first detection module is used for detecting the head orientation and the head position of the target user after detecting that the supine position of the target user meets a preset supine condition; a first analysis module for analyzing the oral cavity opening and closing state of the target user based on the head orientation and the head position of the target user; and the first scanning module is used for performing double-sequence scanning of an MRI soft tissue sequence and a black bone sequence on the head craniomaxillofacial of the target user to obtain a soft tissue sequence image and a black bone sequence image.
Optionally, the determining unit includes: a first extraction module for extracting a head structure of the target user; a first positioning module for positioning a midline brain structure of the target user's head after virtual dissection based on the head structure; the first determination module is used for determining the mapping relation between the brain midline and the facial midline; a second positioning module to position a median sagittal plane of the craniomaxillofacial surface based on the midline brain structure and the mapping relationship.
Optionally, the second positioning module comprises: a first determining submodule for determining at least one brain midline based on the brain midline structure and the mapping relation; the first positioning submodule is used for positioning the craniomaxillofacial brain central line with the highest consistency with the facial central line in the soft tissue sequence image and the black bone sequence image; a second determination submodule for determining a craniomaxillofacial midline corresponding to the craniomaxillofacial midline and locating the median sagittal plane based on the craniomaxillofacial midline and a facial midline identification point.
Optionally, the determining unit further includes: the first receiving module is used for receiving the brain midline structure parameters input by an external device, wherein the brain midline structure parameters comprise: marking points of the cerebral sickle at the front part of the pituitary fossa of the head or the midline of the brain, wherein the marking points of the midline of the brain are points which pass through the cerebral sickle at the front part of the pituitary fossa and the midline of the craniofacial part to the maximum extent; the third determining module is used for determining the mapping relation between the brain midline and the facial midline; and the fourth determination module is used for determining a craniomaxillofacial sagittal plane of the target user based on the brain midline structure parameters and the mapping relation.
Optionally, the analysis device further comprises: the display unit is used for displaying the craniomaxillofacial midline and the facial midline identification point of the target user after the craniomaxillofacial sagittal plane is positioned by adopting the cerebral midline; receiving the brain midline adjustment information input by external equipment; and the adjusting unit is used for adjusting the facial midline and the craniomaxillofacial sagittal plane of the target user based on the brain midline adjusting information.
Optionally, the analysis unit comprises: the second analysis module is used for carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in a soft tissue sequence by taking the median sagittal plane as a reference so as to obtain the head craniomaxillofacial soft tissue information; the third analysis module is used for carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in a black bone sequence by taking the median sagittal plane as a reference so as to obtain the head craniomaxillofacial hard tissue information; and the fourth analysis module 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 fourth analysis module comprises: the conversion sub-module is used for converting the median sagittal plane in a soft tissue sequence and a black bone sequence based on the soft tissue information and the hard tissue information of the head craniomaxillofacial; and the analysis submodule is used for analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the converted soft tissue sequence and the converted black bone sequence.
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.
In the embodiment of the invention, when analyzing the cranio-maxillofacial morphology of a user, the soft tissue sequence image and the black bone sequence image of the head cranio-maxillofacial of a target user are firstly obtained, wherein the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI), then the brain midline of the target user is determined, the median sagittal plane of the head cranio-maxillofacial is positioned by adopting the brain midline, and finally whether the head cranio-maxillofacial of the target user is abnormally deformed or not can be analyzed based on the median sagittal plane. In the embodiment, a craniomaxillofacial brain midline central sagittal plane (which can be converted in a soft tissue sequence and a black bone sequence) consistent with a facial midline can be automatically positioned in an MRI image, the central sagittal plane is taken as a reference, the craniomaxillofacial soft tissue is analyzed by using the soft tissue sequence, the craniomaxillofacial hard tissue is three-dimensionally analyzed by using the black bone sequence, and the analysis result is more comprehensive and accurate, so that the technical problem that the comprehensive craniomaxillofacial state cannot be obtained due to the defect that the error is large in the determination process of the craniomaxillofacial central sagittal plane 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 flow chart of an alternative method of analyzing craniomaxillary surface condition 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:
CT, Computed Tomography, and Computed Tomography utilize precisely collimated beams, rays, ultrasound, etc. to scan one section after another around a certain part of the body along with a highly sensitive detector.
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.
In the prior art, in the three-dimensional cephalogram measurement based on CBCT, the determination scheme of the median sagittal plane has the problems of large error, strong randomness and poor stability (poor stability of a mark point in severe craniomaxillofacial deformity). The present application addresses these problems by determining, using a number of experiments, a high degree of correlation of the midline structures of the forebrain, forecranium and mid-upper face of the user's head, which correlation is fully manifested in both physiological and pathological situations. The midline is the first established structural boundary in the early neural plate; the spinal cord anterior plate sets the midline of the face by generating, for example, Shh (Sonic hedgehog, Shh) signaling molecules, while inducing division of the forebrain into two cerebral 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 consistency of the brain midline and the facial midline, the embodiment of the invention uses the brain midline existing in the anatomy to replace the fused facial midline to construct the craniomaxillofacial median sagittal plane so as to obtain the technical scheme for determining the three-dimensional cephalometric median sagittal plane. The brain midline and the facial midline are connected by MRI, the brain and eye diseases and the facial diseases are connected, the three-dimensional cephalometric measurement research process can be greatly accelerated, the study of craniomaxillofacial deformity pathogenesis can be deeply explored, and the isolated state of craniomaxillofacial deformity research is ended.
The embodiment of the invention scans the soft tissue sequence and the black bone sequence of the head of a user, simultaneously obtains the soft and hard tissue information of the patient, automatically positions the sequence in the brain in the soft tissue sequence, converts the median sagittal plane of the midline of the brain between the soft tissue and the black bone sequence, and respectively analyzes the soft and hard tissues of the craniomaxillofacial surface by taking the median sagittal plane as a reference. Automatically positioning a middle sagittal plane of a craniomaxillofacial brain midline with the best consistency with a facial midline in an MRI image, converting the middle sagittal plane into a soft tissue sequence and a black bone sequence, analyzing the craniomaxillofacial soft tissue by using the middle sagittal plane as a reference, and performing three-dimensional analysis on the craniomaxillofacial hard tissue by using the black bone sequence, wherein the analysis result is more comprehensive and accurate. 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.
The craniomaxillofacial state analysis method provided by the embodiment of the invention can be applied to a nuclear magnetic double-sequence three-dimensional head shadow measurement system for automatically positioning the brain midline as the craniomaxillofacial midline, so as to realize the three-dimensional analysis of the head shadow.
FIG. 1 is a flow chart of an alternative method of analyzing craniomaxillary surface condition 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 soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI);
step S104, determining the brain midline of the target user, and positioning the median sagittal plane of the craniomaxillofacial surface of the head by adopting the brain midline;
and step S106, analyzing whether the head craniomaxillofacial surface of the target user has abnormal deformation or not based on the median sagittal plane.
Through the steps, when analyzing the cranio-maxillofacial morphology of the user, the soft tissue sequence image and the black bone sequence image of the head cranio-maxillofacial of the target user are obtained firstly, wherein the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI), then the brain midline of the target user is determined, the median sagittal plane of the head cranio-maxillofacial is positioned by adopting the brain midline, and finally whether the head cranio-maxillofacial of the target user is abnormally deformed or not can be analyzed based on the median sagittal plane. In the embodiment, a craniomaxillofacial brain midline central sagittal plane (which can be converted in a soft tissue sequence and a black bone sequence) consistent with a facial midline can be automatically positioned in an MRI image, the central sagittal plane is taken as a reference, the craniomaxillofacial soft tissue is analyzed by using the soft tissue sequence, the craniomaxillofacial hard tissue is three-dimensionally analyzed by using the black bone sequence, and the analysis result is more comprehensive and accurate, so that the technical problem that the comprehensive craniomaxillofacial state cannot be obtained due to the defect that the error is large in the determination process of the craniomaxillofacial central sagittal plane 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, soft tissue sequence images and black bone sequence images of the craniomaxillofacial surface of the head of the target user are obtained, wherein the soft tissue sequence images and the black bone sequence images 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.
In an alternative embodiment of the present invention, the step of obtaining the soft tissue sequence image and the black bone sequence image of the craniomaxillofacial area of the target user includes: after the supine position of the target user meets a preset supine condition, detecting the head orientation and the head position of the target user; analyzing the oral cavity opening and closing state of the target user based on the head orientation and the head position of the target user; performing a dual sequence scan of the MRI soft tissue sequence and the black bone sequence on the craniomaxillofacial of the head of the target user to obtain a soft tissue sequence image and a black bone sequence image.
The scanning sequence related to the application adopts nuclear magnetic scanning, and the obtained sequence images comprise: 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, the display of bone tissue by a nuclear magnetic scanning sequence is less clear, so the application provides a low flip angle gradient echo MRI sequence, the flip angle can be 5 degrees, ideal signals from fat and water can be effectively suppressed, cortical bone is black and can be identified, soft tissue is uniformly gray, the MRI sequence enables bone tissue to be distinguishable black by improving image contrast between bones and other soft tissue and reducing contrast between different soft tissue, so the MRI sequence is called a "black bone" sequence, the imaging time of the black bone sequence is about 4 minutes for adult skull), the black bone imaging sequence provides a potential method for replacing CT, in order to simultaneously acquire soft and hard tissue information of a user, the embodiment of the invention simultaneously scans the soft and hard tissue two sequences for the user. This section is for illustration purposes, and the user is subjected to a dual sequence scan of MRI soft tissue and black bone, in which case 8NV head coils can be used, the patient is in a supine position, the orientation and position of the head are substantially the same, the teeth are in a median occlusal position, the scan range includes the entire head, and a 3D gradient echo sequence is used.
In the embodiment of the invention, the acquisition of the user MRI data can adopt a conventional 3D sequence; and other special sequences that capture bone information, etc., require a double sequence scan.
And step S104, determining the brain midline of the target user, and positioning the median sagittal plane of the craniomaxillofacial surface by adopting the brain midline.
In an alternative embodiment of the present invention, the step of determining the midline of the brain of the target user and using the midline to locate the median sagittal plane of the cranio-maxillofacial area of the head comprises: extracting a head structure of a target user; based on the head structure, positioning a brain midline structure of the head of the target user after virtual dissection; determining the mapping relation between the brain midline and the facial midline; and positioning the median sagittal plane of the craniomaxillofacial surface of the head based on the brain midline structure and the mapping relation.
Optionally, the step of locating the median sagittal plane of the craniomaxillofacial surface based on the brain midline structure and the mapping relationship comprises: determining at least one brain midline based on the brain midline structure and the mapping relation; locating the craniomaxillofacial brain central line with the highest consistency with the facial central line in the soft tissue sequence image and the black bone sequence image; a craniomaxillofacial midline corresponding to the craniomaxillofacial cerebral midline is determined, and a median sagittal plane is positioned based on the craniomaxillofacial midline and the facial midline identification point.
The MRI method for automatically positioning the brain midline comprises two methods, namely: the midline of the brain is chosen to be maximally bilaterally symmetrical, but due to the presence of the brain 'torque', the human brain is asymmetrical, both physiologically and pathologically, and this may be related to the human speech function. And the second method comprises the following steps: by locating the anatomical midline structures that actually exist as: the midbrain line is determined by locating the intersegmental fissure by using a Surface extraction (Surface extraction) method, or automatically locating the anteroposterior union by using a Regression forest method (Regression forest) based on deep learning, and then constructing a median sagittal plane by using any point on the sickle, or automatically identifying the vertex of the superior sulcus and the anteroposterior union by using a computer on the basis of a template (Model-based). And then selecting the optimal craniomaxillofacial median sagittal plane for automatic positioning of the cerebral midline by verifying the relation between the cerebral midline and the facial midline obtained by the automatic positioning method.
In implementing the automatic positioning of the brain midline, it may be based on automatic identification of the template, first finding the most prominent landmark point located at the junction of the midbrain and the pontine, which is located at the vertex of the superior sulcus, and then continuing to find the anteroposterior union, for example, detecting the anteroposterior union of the brain and the vertex of the superior sulcus, respectively, representing a cylindrical search region containing three landmark points by circles, and the line on the axial image representing the automatically detected median sagittal plane.
Alternatively, using the midline of the brain to locate the median sagittal plane of the craniomaxillofacial surface comprises: receiving brain midline structure parameters input by an external device, wherein the brain midline structure parameters comprise: marking points of the cerebral sickle at the front part of the pituitary fossa of the head or the midline of the brain, wherein the marking points of the midline of the brain are points which pass through the cerebral sickle at the front part of the pituitary fossa and the midline of the craniofacial part to the maximum extent; determining the mapping relation between the brain midline and the facial midline; and determining a craniomaxillofacial sagittal plane of the target user based on the brain midline structure parameters and the mapping relation.
Optionally, after positioning the midsagittal plane of the craniomaxillofacial area using the midline of the brain, the analysis method further comprises: displaying craniomaxillofacial midline and facial midline identification points of a target user; receiving the brain midline adjustment information input by external equipment; and adjusting the facial midline and craniomaxillofacial sagittal plane of the target user based on the brain midline adjustment information.
The craniomaxillofacial midline and facial midline marking points may include: color image points, lines, numbers, characters, letters, etc.
In other words, in the embodiment of the present invention, when the midsagittal plane of the brain midline is located, the adjustment information and parameters input by the external terminal may be received, and then the relationship between the brain midline and the specific mark point on the craniomaxillofacial midline or the specific characteristics of the malformed user may be automatically located, and the automatically located brain midline may be adjusted to better conform to the actual craniomaxillofacial midsagittal plane.
For example, in patients with craniofacial abnormalities, particularly those with craniofacial asymmetrical abnormalities, where facial deviation is increasing from top to bottom, numerous studies have shown that craniofacial symmetry above the orbit is the best, with the nasion and cockcrow points being the most stable among the commonly used landmark points, and therefore the midline of the brain is determined and then the median sagittal plane of the midline is located by receiving adjustment information entered from external terminals (including fine adjustments of the midline).
In an MRI image, a three-dimensional cephalogram measurement median sagittal plane of a brain midline is automatically positioned by a terminal, and then the automatically positioned brain midline is adjusted by receiving adjustment information input by an external terminal (an operator adjusts the automatically positioned brain midline according to the relationship between the automatically positioned brain midline and a specific mark point on the craniomaxillofacial midline or specific characteristics of a malformed patient), so that the automatically positioned brain midline is more accordant with the actual craniomaxillofacial median sagittal plane.
And step S106, analyzing whether the head craniomaxillofacial surface of the target user has abnormal deformation or not based on the median sagittal plane.
As an optional embodiment of the present invention, the step of analyzing whether the head craniomaxillofacial surface of the target user has abnormal deformation based on the median sagittal plane includes: taking the median sagittal plane as a reference, and carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence to obtain the craniomaxillofacial soft tissue information of the head; taking the median sagittal plane as a reference, and carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence 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 analyzing whether the head craniomaxillofacial of the target user is abnormally deformed based on the soft tissue information and the hard tissue information of the head craniomaxillofacial includes: converting the median sagittal plane in a soft tissue sequence and a black bone sequence based on soft tissue information and hard tissue information of the craniomaxillofacial surface of the head; and analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the converted soft tissue sequence and the converted black bone sequence.
In the embodiment of the invention, the positioning of the brain midline in the soft tissue sequence is determined to be superior to that of the black bone sequence, so that after the central sagittal plane of the brain midline in the soft tissue sequence is accurately positioned, the central sagittal plane of the brain midline is converted in the soft tissue sequence and the black bone sequence, and the analysis of soft and hard tissues under the same reference system is ensured, for example, Advanced work post-processing software is adopted. The soft tissue sequence and black bone sequence data are simultaneously input into a Reformat processing program. In the conversion process, the method comprises the following steps: step 1: turning on a multiplanar reconstruction function, three-dimensionally locating the midline of the brain in a soft tissue sequence (e.g., using the anterior sickle of the brain as the midline of the brain); step 2: soft tissue sequence data in the control window is converted to black bone sequence data.
By the embodiment, the craniomaxillofacial midline median sagittal plane with the best consistency with the midline can be automatically positioned in an MRI image (MRI is free of radiation and can reduce radiation injury of a user), and the median sagittal plane can be converted in a soft tissue sequence and a black bone sequence; meanwhile, by taking the plane as a reference, the craniomaxillofacial soft tissue is analyzed by using the soft tissue sequence, and the craniomaxillofacial hard tissue is three-dimensionally analyzed by using the black bone sequence, so that the three-dimensional analysis of the craniomaxillofacial soft and hard tissue is performed, the three-dimensional analysis more conforms to the molecular biological rule of the human body axis, the analysis accuracy is improved, and the output result is more accurate.
Example two
The invention is described below in connection with an alternative embodiment.
FIG. 2 is a schematic view of an alternative craniomaxillary surface condition analysis device according to an embodiment of the present invention, which, as shown in FIG. 2, may include: an acquisition unit 21, a determination unit 23, an analysis unit 25, wherein,
the acquiring unit 21 is 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 magnetic resonance images MRI;
the determining unit 23 is configured to determine a brain midline of the target user, and position a median sagittal plane of the craniomaxillofacial area by using the brain midline;
and the analysis unit 25 is used for analyzing whether the head craniomaxillofacial surface of the target user has abnormal deformation or not based on the median sagittal plane.
The craniomaxillofacial state analysis device can firstly acquire the soft tissue sequence images and the black bone sequence images of the head craniomaxillofacial of a target user through the acquisition unit 21 when analyzing the craniomaxillofacial form of the user, wherein the soft tissue sequence images and the black bone sequence images are Magnetic Resonance Imaging (MRI), then determine the brain central line of the target user through the determination unit 23, position the median sagittal plane of the head craniomaxillofacial by adopting the brain central line, and finally analyze whether the head craniomaxillofacial of the target user is abnormally deformed or not through the analysis unit 25 based on the median sagittal plane. In the embodiment, a craniomaxillofacial brain midline central sagittal plane (which can be converted in a soft tissue sequence and a black bone sequence) consistent with a facial midline can be automatically positioned in an MRI image, the central sagittal plane is taken as a reference, the craniomaxillofacial soft tissue is analyzed by using the soft tissue sequence, the craniomaxillofacial hard tissue is three-dimensionally analyzed by using the black bone sequence, and the analysis result is more comprehensive and accurate, so that the technical problem that the comprehensive craniomaxillofacial state cannot be obtained due to the defect that the error is large in the determination process of the craniomaxillofacial central sagittal plane caused by the irregularity of the skull in the related technology is solved.
Optionally, the obtaining unit includes: the first detection module is used for detecting the head orientation 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 the oral cavity opening and closing state of the target user based on the head orientation and the head position of the target user; the first scanning module is used for performing double-sequence scanning of an MRI soft tissue sequence and a black bone sequence on the head craniomaxillofacial of a target user to obtain a soft tissue sequence image and a black bone sequence image.
Optionally, the determining unit includes: the first extraction module is used for extracting the head structure of the target user; a first positioning module for positioning a brain midline structure of a head of a target user after virtual dissection based on the head structure; the first determination module is used for determining the mapping relation between the brain midline and the facial midline; and the second positioning module is used for positioning the median sagittal plane of the craniomaxillofacial surface of the head based on the brain midline structure and the mapping relation.
Optionally, the second positioning module comprises: a first determining submodule for determining at least one brain midline based on the brain midline structure and the mapping relation; the first positioning submodule is used for positioning the craniomaxillofacial brain central line with the highest consistency with the facial central line in the soft tissue sequence image and the black bone sequence image; and the second determining submodule is used for determining a craniomaxillofacial midline corresponding to the craniomaxillofacial cerebral midline and positioning a median sagittal plane based on the craniomaxillofacial midline and the facial midline identification point.
Optionally, the determining unit further comprises: the first receiving module is used for receiving the brain midline structure parameters input by an external device, wherein the brain midline structure parameters comprise: marking points of the cerebral sickle at the front part of the pituitary fossa of the head or the midline of the brain, wherein the marking points of the midline of the brain are points which pass through the cerebral sickle at the front part of the pituitary fossa and the midline of the craniofacial part to the maximum extent; the third determining module is used for determining the mapping relation between the brain midline and the facial midline; and the fourth determination module is used for determining the craniomaxillofacial sagittal plane of the target user based on the brain midline structure parameters and the mapping relation.
Optionally, the analysis device further comprises: the display unit is used for displaying the craniomaxillofacial midline and the facial midline identification point of the target user after the craniomaxillofacial sagittal plane of the head is positioned by adopting the brain midline; receiving the brain midline adjustment information input by external equipment; and the adjusting unit is used for adjusting the facial midline and the craniomaxillofacial sagittal plane of the target user based on the brain midline adjusting information.
Optionally, the analysis unit comprises: the second analysis module is used for carrying out three-dimensional analysis on the craniomaxillofacial soft tissue in the soft tissue sequence by taking the median sagittal plane as a reference so as to obtain the craniomaxillofacial soft tissue information of the head; the third analysis module is used for carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in the black bone sequence by taking the median sagittal plane as a reference so as to obtain the head craniomaxillofacial hard tissue information; and the fourth analysis module 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 fourth analysis module comprises: the conversion sub-module is used for converting the median sagittal plane in a soft tissue sequence and a black bone sequence based on the soft tissue information and the hard tissue information of the head craniomaxillofacial; and the analysis submodule is used for analyzing whether the head craniomaxillofacial of the target user is abnormally deformed or not based on the converted soft tissue sequence and the converted black bone sequence.
The craniomaxillofacial condition analysis device may further include a processor and a memory, the acquiring unit 21, the determining unit 23, the analyzing unit 25, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize 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 median sagittal plane 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.
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 the head of a target user, wherein the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI); determining a brain midline of a target user, and positioning a median sagittal plane of a craniomaxillofacial surface of a head by adopting the brain midline; and analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the median sagittal plane.
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 (10)
1. A method of analyzing craniomaxillofacial conditions, comprising:
acquiring a soft tissue sequence image and a black bone sequence image of a craniomaxillofacial surface of a head of a target user, wherein the soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI);
determining a brain midline of the target user, and positioning a median sagittal plane of the cranio-maxillofacial area using the brain midline;
analyzing whether the head cranio-maxillofacial surface of the target user has abnormal deformation or not based on the median sagittal plane.
2. 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 orientation and the head position of the target user;
analyzing the oral cavity opening and closing state of the target user based on the head orientation and the head position of the target user;
and performing double-sequence scanning of the MRI soft tissue sequence and the black bone sequence on the craniomaxillofacial surface of the head of the target user to obtain a soft tissue sequence image and a black bone sequence image.
3. The analysis method according to claim 1, wherein the step of determining a brain midline of the target user and using the brain midline to locate the midsagittal plane of the craniomaxillofacial surface comprises:
extracting a head structure of the target user;
based on the head structure, locating a brain midline structure of the target user's head after virtual dissection;
determining the mapping relation between the brain midline and the facial midline;
locating a median sagittal plane of the craniomaxillofacial surface based on the brain midline structure and the mapping relationship.
4. The analysis method according to claim 3, wherein the step of locating the median sagittal plane of the craniomaxillofacial surface based on the brain midline structure and the mapping relationship comprises:
determining at least one brain midline based on the brain midline structure and the mapping;
locating a craniomaxillofacial brain midline with the highest consistency with the facial midline in the soft tissue sequence images and the black bone sequence images;
determining a craniomaxillofacial midline corresponding to the craniomaxillofacial cerebral midline, and locating the median sagittal plane based on the craniomaxillofacial midline and a facial midline identification point.
5. The analysis method of claim 3, wherein locating the median sagittal plane of the craniomaxillofacial with the brain midline comprises:
receiving brain midline structure parameters input by an external device, wherein the brain midline structure parameters comprise: marking points of the cerebral sickle at the front part of the pituitary fossa of the head or the midline of the brain, wherein the marking points of the midline of the brain are points which pass through the cerebral sickle at the front part of the pituitary fossa and the midline of the craniofacial part to the maximum extent;
determining the mapping relation between the brain midline and the facial midline;
and determining a craniomaxillofacial sagittal plane of the target user based on the brain midline structural parameters and the mapping relation.
6. The analysis method of claim 5, wherein after locating the midsagittal plane of the head craniomaxillofacial plane using the brain midline, the analysis method further comprises:
displaying craniomaxillofacial midline and facial midline identification points of a target user;
receiving the brain midline adjustment information input by external equipment;
and adjusting the facial midline and cranio-maxillofacial sagittal plane of the target user based on the brain midline adjustment information.
7. The analysis method according to claim 1, wherein the step of analyzing whether the head craniomaxillofacial of the target user is abnormally deformed based on the median sagittal plane comprises:
taking the median sagittal plane as a reference, and carrying out three-dimensional analysis on craniomaxillofacial soft tissues in a soft tissue sequence to obtain the head craniomaxillofacial soft tissue information;
taking the median sagittal plane as a reference, and carrying out three-dimensional analysis on the craniomaxillofacial hard tissue in a black bone sequence 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.
8. The analysis method according to claim 7, wherein the step of 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 comprises:
converting a median sagittal plane in a soft tissue sequence and a black bone sequence based on the soft tissue information and the hard tissue information of the craniomaxillofacial;
and analyzing whether the head craniomaxillofacial of the target user has abnormal deformation or not based on the converted soft tissue sequence and the converted black bone sequence.
9. An apparatus for analyzing craniomaxillofacial conditions, comprising:
the system 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 soft tissue sequence image and the black bone sequence image are Magnetic Resonance Images (MRI);
a determining unit for determining a brain midline of the target user and using the brain midline to locate a median sagittal plane of the craniomaxillofacial;
and the analysis unit is used for analyzing whether the head craniomaxillofacial surface of the target user has abnormal deformation or not on the basis of the median sagittal plane.
10. 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 analyzing craniomaxillary surface condition of any one of claims 1-8 via execution of the executable instructions.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112288725A (en) * | 2020-10-30 | 2021-01-29 | 李艳 | Skull center axis perpendicular line determination method and device, storage medium and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080285829A1 (en) * | 2007-05-14 | 2008-11-20 | Siemens Corporate Research, Inc. | System and Method for Consistent Detection of Mid-Sagittal Planes for Magnetic Resonance Brain Scans |
| US20100261993A1 (en) * | 2009-04-14 | 2010-10-14 | Andre Van Der Kouwe | Stem and method for acquiring mri data from bone and soft tissues |
| CN104414680A (en) * | 2013-08-21 | 2015-03-18 | 深圳迈瑞生物医疗电子股份有限公司 | Three-dimensional ultrasonic imaging method and system |
| WO2015142291A1 (en) * | 2014-03-20 | 2015-09-24 | National University Of Singapore | Computer-aided planning of craniomaxillofacial and orthopedic surgery |
| CN107374728A (en) * | 2017-08-25 | 2017-11-24 | 四川大学 | The method that Craniofacial anomalies application bone mark point establishes standard median sagittal plane |
| CN108209915A (en) * | 2016-12-12 | 2018-06-29 | 西诺德牙科设备有限公司 | For obtaining the method for dental object |
| CN108846866A (en) * | 2018-05-29 | 2018-11-20 | 南京医科大学附属口腔医院 | Method and system are determined to middle axial plane based on the thin-skinned tissue sagittal of cranium jaw of optical imagery |
| CN110167445A (en) * | 2016-08-19 | 2019-08-23 | 卫理公会医院体系公司 | System and method for the planning of computer assisted orthognathic surgery |
-
2020
- 2020-04-30 CN CN202010366370.2A patent/CN111513719B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080285829A1 (en) * | 2007-05-14 | 2008-11-20 | Siemens Corporate Research, Inc. | System and Method for Consistent Detection of Mid-Sagittal Planes for Magnetic Resonance Brain Scans |
| US20100261993A1 (en) * | 2009-04-14 | 2010-10-14 | Andre Van Der Kouwe | Stem and method for acquiring mri data from bone and soft tissues |
| CN104414680A (en) * | 2013-08-21 | 2015-03-18 | 深圳迈瑞生物医疗电子股份有限公司 | Three-dimensional ultrasonic imaging method and system |
| WO2015142291A1 (en) * | 2014-03-20 | 2015-09-24 | National University Of Singapore | Computer-aided planning of craniomaxillofacial and orthopedic surgery |
| CN110167445A (en) * | 2016-08-19 | 2019-08-23 | 卫理公会医院体系公司 | System and method for the planning of computer assisted orthognathic surgery |
| CN108209915A (en) * | 2016-12-12 | 2018-06-29 | 西诺德牙科设备有限公司 | For obtaining the method for dental object |
| CN107374728A (en) * | 2017-08-25 | 2017-11-24 | 四川大学 | The method that Craniofacial anomalies application bone mark point establishes standard median sagittal plane |
| CN108846866A (en) * | 2018-05-29 | 2018-11-20 | 南京医科大学附属口腔医院 | Method and system are determined to middle axial plane based on the thin-skinned tissue sagittal of cranium jaw of optical imagery |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112288725A (en) * | 2020-10-30 | 2021-01-29 | 李艳 | Skull center axis perpendicular line determination method and device, storage medium and electronic equipment |
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