CN106175933A - A kind of method of digitized simulation fracture steel plate pre-bend - Google Patents
A kind of method of digitized simulation fracture steel plate pre-bend Download PDFInfo
- Publication number
- CN106175933A CN106175933A CN201610510246.2A CN201610510246A CN106175933A CN 106175933 A CN106175933 A CN 106175933A CN 201610510246 A CN201610510246 A CN 201610510246A CN 106175933 A CN106175933 A CN 106175933A
- Authority
- CN
- China
- Prior art keywords
- knochenbruch
- bend
- steel plate
- fracture
- registration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
- A61B17/56—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor
- A61B17/58—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor for osteosynthesis, e.g. bone plates, screws, setting implements or the like
- A61B17/68—Internal fixation devices, including fasteners and spinal fixators, even if a part thereof projects from the skin
- A61B17/80—Cortical plates, i.e. bone plates; Instruments for holding or positioning cortical plates, or for compressing bones attached to cortical plates
Landscapes
- Health & Medical Sciences (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Surgery (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Neurology (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The present invention discloses the method for a kind of digitized simulation fracture steel plate pre-bend, comprises the steps: S1, obtains fracture site image;S2, threedimensional model is set up at knochenbruch position;S3, knochenbruch axis is carried out pre-registration;S4, by knochenbruch cross section segmentation registrate;S5, simulate the form of pre-bend;S6, according to its parameter provide an operation consent reference data.Measure its parameter.The method that the invention provides a kind of operation consent digitized simulation fracture steel plate pre-bend, aim to solve the problem that traditional operation needs fracture site is completely exposed, after completing to reset, art carries out internal fixation steel plate moulding, extend operating time, cause unnecessary damage and the problem lost blood.
Description
Technical field
The present invention relates to medical domain, in particular, the method relating to a kind of digitized simulation fracture steel plate pre-bend.
Background technology
At present, incidence of fracture is the highest, and within it in fixation for treatment, the application of dissection type bone fracture plate is wide.Pin at present
Fracture is treated the fixing method combined in taking precautions against main employing manual reset and hindering limb, namely uses the most first section to make
Return to anatomic form during health with knochenbruch, then utilize Medical use screw and steel plate Rhizoma Zingiberis Recens two-section knochenbruch to fix..In operation,
Doctor, by tissue dissection such as the muscle at patients with fractures position, spills knochenbruch, then according to the skeleton character pair steel after manual reset
Plate carries out manual bending.In Forging Process, steel plate need to be processed and contrast with the skeleton after resetting by doctor repeatedly, with
Be easy to the laminating that the steel plate after bending can be good with skeleton, however the shortcoming of this kind of operation to be wound big, go out in operation process
The problems such as blood is many, operating time length.
Summary of the invention
The technical problem to be solved is to provide the side of a kind of operation consent digitized simulation fracture steel plate pre-bend
Method, it is intended to solving traditional operation needs fracture site is completely exposed, after completing to reset, carries out internal fixation steel plate moulding in art,
Extend operating time, cause unnecessary damage and the problem lost blood.
A kind of digitized simulation fracture steel plate pre-bend that it is an object of the invention to be achieved through the following technical solutions
Method, comprises the steps:
S1, acquisition fracture site image;
S2, threedimensional model is set up at knochenbruch position;
S3, knochenbruch axis is carried out pre-registration;
S4, the cross section of knochenbruch is split and registrates;
S5, simulate the form of pre-bend, measure its parameter;
S6, according to its parameter provide an operation consent reference data.
Preferably, described step S1 includes:
S10, scanning slice away from≤1mm, sweep current be 200-250mAs, scanning voltage be 80-130kv, scan matrix
It it is the sequence faultage image that under the condition of scanning of 521 × 512, scanning obtains fracture site.
Preferably, described step S2 includes:
S20, to obtain fracture site CT sequence image carry out denoising.
Preferably, described step S20 is gone dry process include:
S201, by image f is broken down into multiple sub-band component as wavelet transformation:
S202, each sub-band component is smoothed piecemeal by window function before processing;
S203, each piecemeal is defined;
S204, each sub-block obtaining segmentation do local Ridgelet conversion, it is thus achieved that this sub-band images Curvelet system
Matrix number.
S205, setting Curvelet threshold value, by the coefficient zero setting less than threshold value, obtain estimation coefficient, according to estimation coefficient
Carry out Curvelet reconstruct.
Preferably, described step S3 includes:
S31, the axis of two knochenbruch of extraction carry out spatial registration;
S32, the threedimensional model of two knochenbruch of driving carry out pre-registration according to axis.
Preferably, described S31 comprises the steps:
S311, the axis of two knochenbruch of extraction;
S312, two axis are implemented registration operation, simultaneously drive two knochenbruch and change locus, it is achieved registrate in advance.
Preferably, described S311 interrupts the extraction of axis of bone line is to utilize network model summit to carry out three dimensions fitting a straight line
Process.
Preferably, described step S4 includes:
S41, the cross section of two knochenbruch of acquisition registrate;
S42, two knochenbruch of driving carry out Model registration.
Preferably, described step S41 includes:
S411, the characteristic point in extraction feature knochenbruch cross section;
S412, curved surface features method based on vertex normal vector carry out secondary to the network model of the characteristic point in knochenbruch cross section and divide
Cut.
Preferably, described step S41 also includes:
S413, two knochenbruch section feature point sets obtain accuracy registration rear drive two knochenbruch threedimensional model and carry out accuracy registration.
Due to the fact that this structure of employing, compare due to prior art, this method is by obtaining fracture site image, structure
Build 3-D view, then according to 3-D view, fracture site is carried out pre-registration, then by the cross section of knochenbruch is carried out accurately
Registration, and drive the registration of two knochenbruch, the pre-bending state of steel plate is simulated finally according to the control point on skeleton model, from
And allowing doctor obtain the collective data of steel plate before surgery, the method has saved operating time, Shorten the Treatment Process, reduces complication
Occur, improve cure rate.
Accompanying drawing explanation
Fig. 1 is the method for a kind of digitized simulation of embodiment of the present invention fracture steel plate pre-bend.
Detailed description of the invention
With reference to and combine the detailed description below of accompanying drawing and describe and illustrate the one or more specific reality of the present invention
Execute example.Be provided for unrestricted purpose but only example and teaching embodiments of the invention are enough shown in detail
Go out and describe so that those skilled in the art can implement the present invention.
The invention will be further described with preferred embodiment below in conjunction with the accompanying drawings.
Embodiment 1
As it is shown in figure 1, the method that the invention provides a kind of digitized simulation fracture steel plate pre-bend, including walking as follows
Rapid:
S1, acquisition fracture site image;
S2, threedimensional model is set up at knochenbruch position;
S3, knochenbruch axis is carried out pre-registration;
S4, the cross section of knochenbruch is split and registrates;
S5, simulate the form of pre-bend, measure its parameter;
S6, according to its parameter provide an operation consent reference data.
This method, by obtaining fracture site image, builds 3-D view, then enters fracture site according to 3-D view
The pre-registration of row, then by the cross section of knochenbruch carries out accuracy registration, and drives the registration of two knochenbruch, finally according to skeleton mould
Control point in type simulates the pre-bending state of steel plate, thus allows doctor obtain the collective data of steel plate, the method before surgery
Save operating time, Shorten the Treatment Process, reduced the generation of complication, improve cure rate.
Wherein, described step S1 includes:
S10, by CT scan obtain fracture site sequence faultage image.
Wherein, described step S2 includes:
S20, to obtain fracture site CT sequence image carry out denoising.
Wherein, described step S20 is gone dry process include:
S201, by image f is broken down into multiple sub-band component as wavelet transformation:
S202, each sub-band component is smoothed piecemeal by window function before processing;
S203, each piecemeal is defined;
S204, each sub-block obtaining segmentation do local Ridgelet conversion, it is thus achieved that this sub-band images Curvelet system
Matrix number.
S205, setting Curvelet threshold value, by the coefficient zero setting less than threshold value, obtain estimation coefficient, according to estimation coefficient
Carry out Curvelet reconstruct.
In Curvelet (Qu Bo) conversion coefficient, the coefficient generally actual signal that amplitude is bigger is main, and amplitude is less
Coefficient great majority be noise data, therefore manually set appropriately according to concrete picture quality and coefficient amplitude distribution situation thereof
Threshold value.By less than threshold value coefficient zero setting, remain larger than Curvelet (Qu Bo) coefficient of threshold value.Reflect through threshold function table
Penetrate and obtain estimation coefficient, finally estimation coefficient is carried out Curvelet (Qu Bo) reconstruct, it is achieved denoising.
Because Curvelet conversion can be with few nonzero coefficient accurate expression image border, it is possible to relatively low ajusting
Reach the balance of more satisfactory view data simplification and accuracy on the basis of mean square error, thus reach more preferable denoising effect
Really.
Embodiment 2
In the present embodiment, described step S3 includes:
S31, the axis of two knochenbruch of extraction carry out spatial registration;
S32, the threedimensional model of two knochenbruch of driving carry out pre-registration according to axis.
Described S31 comprises the steps:
S311, the axis of two knochenbruch of extraction;
S312, two axis are implemented registration operation, simultaneously drive two knochenbruch and change locus, it is achieved registrate in advance.
Because what human organ operation was most basic is accuracy, for fracture operation, require that knochenbruch can be accurate exactly
Be stitched together because the method that is directly registrable needs substantial amounts of interative computation, take a substantial amount of time, so necessity is adopted
Spending rough registration and method that accuracy registration combines realizes knochenbruch registration, pre-method for registering improves the rotation between two knochenbruch
With translation dislocation to improve the efficiency of accuracy registration.
Wherein, described step S31 interrupts the extraction of axis of bone line is to utilize network model summit to carry out three dimensions straight line plan
The process closed.
Embodiment 3
In the present embodiment, described step S4 includes:
S41, the cross section of two knochenbruch of acquisition registrate;
S42, two knochenbruch of driving carry out Model registration.
Wherein, described step S41 includes:
S411, the characteristic point in extraction feature knochenbruch cross section;
S412, curved surface features method based on vertex normal vector carry out secondary to the network model of the characteristic point in knochenbruch cross section and divide
Cut.
Wherein, described step S41 also includes:
S413, two knochenbruch section feature point sets obtain accuracy registration rear drive two knochenbruch threedimensional model and carry out accuracy registration.
Above content is to combine concrete preferred implementation further description made for the present invention, it is impossible to assert
Being embodied as of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of present inventive concept, it is also possible to make some simple deduction or replace, all should be considered as the protection of the present invention
Scope.
Claims (9)
1. the method for a digitized simulation fracture steel plate pre-bend, it is characterised in that comprise the steps:
S1, scanning slice away from≤1mm, sweep current be 200-250mAs, scanning voltage be 80-130kv, scan matrix be 521
Obtained the sequence faultage image acquisition fracture site image of fracture site by CT scan under the condition of scanning of × 512;
S2, threedimensional model is set up at knochenbruch position;
S3, knochenbruch axis is carried out pre-registration;
S4, the cross section of knochenbruch is split and registrates;
S5, simulate the form of pre-bend, measure its parameter
S6, according to its parameter provide an operation consent reference data.
The method of a kind of digitized simulation the most according to claim 1 fracture steel plate pre-bend, it is characterised in that described step
Rapid S2 includes:
S20, to obtain fracture site CT sequence image carry out denoising.
The method of a kind of digitized simulation the most according to claim 2 fracture steel plate pre-bend, it is characterised in that described step
Rapid S20 goes dry process to include:
S201, by image f is broken down into multiple sub-band component as wavelet transformation:
S202, each sub-band component is smoothed piecemeal by window function before processing;
S203, each piecemeal is defined;
S204, each sub-block obtaining segmentation do local Ridgelet conversion, it is thus achieved that this sub-band images Curvelet coefficient square
Battle array.
S205, setting Curvelet threshold value, by the coefficient zero setting less than threshold value, obtain estimation coefficient, carry out according to estimation coefficient
Curvelet reconstructs.
The method of a kind of digitized simulation the most according to claim 1 fracture steel plate pre-bend, it is characterised in that described step
Rapid S3 includes:
S31, the axis of two knochenbruch of extraction carry out spatial registration;
S32, the threedimensional model of two knochenbruch of driving carry out pre-registration according to axis.
The method of a kind of digitized simulation the most according to claim 1 fracture steel plate pre-bend, it is characterised in that described
S31 comprises the steps:
S311, the axis of two knochenbruch of extraction;
S312, two axis are implemented registration operation, simultaneously drive two knochenbruch and change locus, it is achieved registrate in advance.
The method of a kind of digitized simulation the most according to claim 1 fracture steel plate pre-bend, it is characterised in that described
It is the process utilizing network model summit to carry out three dimensions fitting a straight line that S311 interrupts the extraction of axis of bone line.
The method of a kind of digitized simulation the most according to claim 1 fracture steel plate pre-bend, it is characterised in that described step
Rapid S4 includes:
S41, the cross section of two knochenbruch of acquisition registrate;
S42, two knochenbruch of driving carry out Model registration.
The method of a kind of digitized simulation the most according to claim 5 fracture steel plate pre-bend, it is characterised in that described step
Rapid S41 includes:
S411, the characteristic point in extraction feature knochenbruch cross section;
S412, curved surface features method based on vertex normal vector carry out secondary splitting to the network model of the characteristic point in knochenbruch cross section.
The method of a kind of digitized simulation the most according to claim 6 fracture steel plate pre-bend, it is characterised in that described step
Rapid S41 also includes:
S413, two knochenbruch section feature point sets obtain accuracy registration rear drive two knochenbruch threedimensional model and carry out accuracy registration.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610510246.2A CN106175933A (en) | 2016-06-30 | 2016-06-30 | A kind of method of digitized simulation fracture steel plate pre-bend |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610510246.2A CN106175933A (en) | 2016-06-30 | 2016-06-30 | A kind of method of digitized simulation fracture steel plate pre-bend |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106175933A true CN106175933A (en) | 2016-12-07 |
Family
ID=57464242
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610510246.2A Pending CN106175933A (en) | 2016-06-30 | 2016-06-30 | A kind of method of digitized simulation fracture steel plate pre-bend |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106175933A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107242899A (en) * | 2017-07-28 | 2017-10-13 | 卞泗善 | A kind of Orthopedic Clinical Medical steel plate prebending devide |
CN108261241A (en) * | 2018-01-16 | 2018-07-10 | 河北瑞鹤医疗器械有限公司 | Orthopedic implant method for customizing, apparatus and system |
CN109528305A (en) * | 2018-10-12 | 2019-03-29 | 河海大学常州校区 | Computer assisted intertrochanter fracture of femur contraposition is to the semi-automatic repositioning method of line |
CN111000626A (en) * | 2019-10-17 | 2020-04-14 | 中南大学湘雅医院 | Method for shaping medical titanium alloy inner fixing plate |
-
2016
- 2016-06-30 CN CN201610510246.2A patent/CN106175933A/en active Pending
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107242899A (en) * | 2017-07-28 | 2017-10-13 | 卞泗善 | A kind of Orthopedic Clinical Medical steel plate prebending devide |
CN107242899B (en) * | 2017-07-28 | 2019-09-24 | 卞泗善 | A kind of Orthopedic Clinical Medical steel plate prebending devide |
CN108261241A (en) * | 2018-01-16 | 2018-07-10 | 河北瑞鹤医疗器械有限公司 | Orthopedic implant method for customizing, apparatus and system |
CN108261241B (en) * | 2018-01-16 | 2020-02-14 | 河北瑞鹤医疗器械有限公司 | Method, device and system for customizing orthopedics endophyte |
CN109528305A (en) * | 2018-10-12 | 2019-03-29 | 河海大学常州校区 | Computer assisted intertrochanter fracture of femur contraposition is to the semi-automatic repositioning method of line |
CN111000626A (en) * | 2019-10-17 | 2020-04-14 | 中南大学湘雅医院 | Method for shaping medical titanium alloy inner fixing plate |
CN111000626B (en) * | 2019-10-17 | 2021-06-22 | 中南大学湘雅医院 | Method for shaping medical titanium alloy inner fixing plate |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106175933A (en) | A kind of method of digitized simulation fracture steel plate pre-bend | |
Müller et al. | Morphometric analysis of human bone biopsies: a quantitative structural comparison of histological sections and micro-computed tomography | |
Buie et al. | Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis | |
CN109598722B (en) | Image analysis method based on recurrent neural network | |
CN109064521A (en) | A kind of CBCT using deep learning removes pseudo- image method | |
CN108629785A (en) | Based on the three-dimensional magnetic resonance pancreas image partition method from step study | |
CN110009613A (en) | Low-dose CT imaging method, apparatus and system based on the dense network of depth | |
CN109035360A (en) | A kind of compressed sensing based CBCT image rebuilding method | |
CN104867104A (en) | Method for obtaining anatomical structural atlas for target mouse based on XCT image non-rigid registration | |
CN106204556A (en) | A kind of method simulating fracture steel plate pre-bend | |
CN108885781A (en) | For synthesizing the method and system of virtual high dose or high kV computed tomography images according to low dosage or low kV computed tomography images | |
Patel et al. | Clinical application of ultrasound in intensive care unit-acquired weakness | |
Hacihaliloglu et al. | Statistical shape model to 3D ultrasound registration for spine interventions using enhanced local phase features | |
CN105380707B (en) | Individual customized osteotomy orthopedic guide plate and manufacturing method thereof | |
CN104931904A (en) | PPI joint reconstruction method of multi-contrast magnetic resonance images | |
CN106204720A (en) | A kind of method simulating fracture steel plate pre-bend | |
CN114663577A (en) | 3D printing system for treating old coronary process fracture by coronary process prosthesis | |
CN109741439A (en) | A kind of three-dimensional rebuilding method of two dimension MRI fetus image | |
Dahdouh et al. | A comprehensive tool for image-based generation of fetus and pregnant women mesh models for numerical dosimetry studies | |
CN107067387A (en) | Method of Medical Image Fusion based on 3D complex shear wavelet domain broad sense statistical correlation models | |
CN106126954A (en) | A kind of method simulating fracture steel plate pre-bend | |
CN106156415A (en) | A kind of method of digitized simulation fracture steel plate pre-bend | |
Kuperavage et al. | Moment coefficients of skewness in the femoral neck cortical bone distribution of BAR 1002’00 | |
CN206471037U (en) | The anastomosis operation model for coordinating Leonardo da Vinci's operating robot to use | |
EP2737455B1 (en) | Method for detecting the position of a transducer |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161207 |