CN111227930B - 3D model construction and preparation method for mitral regurgitation and calcified stenosis - Google Patents

3D model construction and preparation method for mitral regurgitation and calcified stenosis Download PDF

Info

Publication number
CN111227930B
CN111227930B CN202010018012.2A CN202010018012A CN111227930B CN 111227930 B CN111227930 B CN 111227930B CN 202010018012 A CN202010018012 A CN 202010018012A CN 111227930 B CN111227930 B CN 111227930B
Authority
CN
China
Prior art keywords
model
data
mitral valve
calcified
boundaries
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.)
Active
Application number
CN202010018012.2A
Other languages
Chinese (zh)
Other versions
CN111227930A (en
Inventor
李亚杰
曾博文
马克军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xi'an Mark Medical Technology Co ltd
Original Assignee
Xi'an Mark Medical Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Xi'an Mark Medical Technology Co ltd filed Critical Xi'an Mark Medical Technology Co ltd
Priority to CN202010018012.2A priority Critical patent/CN111227930B/en
Publication of CN111227930A publication Critical patent/CN111227930A/en
Application granted granted Critical
Publication of CN111227930B publication Critical patent/CN111227930B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10Computer-aided planning, simulation or modelling of surgical operations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B33ADDITIVE MANUFACTURING TECHNOLOGY
    • B33YADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y10/00Processes of additive manufacturing
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10Computer-aided planning, simulation or modelling of surgical operations
    • A61B2034/101Computer-aided simulation of surgical operations
    • A61B2034/102Modelling of surgical devices, implants or prosthesis

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Surgery (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Robotics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Materials Engineering (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The invention belongs to the field of 3D printing, and discloses a 3D model construction and preparation method for mitral regurgitation and calcified stenosis. In the model construction method, firstly, left cardiac structure radiography data of a patient with mitral regurgitation and calcified stenosis is collected and preprocessed to obtain cardiac CT data; then establishing a calcified tissue model and a blood model according to gray values corresponding to different tissues in the cardiac CT data; then, reconstructing and deleting redundant artifact blood structures in the inner cavity model aiming at the leaflet chordae tendineae and papillary muscles to obtain the inner cavity model; and finally, cutting the inner cavity model, and performing Boolean operation on the cut inner cavity model and the calcified tissue model to obtain the 3D model of the mitral valve calcified stenosis and the mitral valve regurgitation disease. The method well solves the problems of limitations of the traditional image evaluation on the mitral valve structure and the structure under the mitral valve in the prior art.

Description

3D model construction and preparation method for mitral regurgitation and calcified stenosis
Technical Field
The invention belongs to the field of 3D printing, and particularly relates to a 3D model construction and preparation method for mitral regurgitation and calcified stenosis.
Background
Mitral valve disease is the most common valvular disease that endangers the health of cardiovascular disease in people. Most Mitral Stenosis (MS) is a sequela of rheumatic fever, with few congenital stenosis or senile Mitral annulus or subcyclic calcification. Mitral Insufficiency (MI) is mainly caused by valve degeneration, rheumatic fever, structural damage under Mitral valve after myocardial infarction of coronary heart disease, and the like, and often causes atrial fibrillation and cardiac insufficiency. According to recent epidemiological data in developed western countries such as the united states, the leading type of valvular disease in the elderly over 65 years of age is mitral regurgitation. Research shows that the long-term effect of surgery on mitral valve stenosis is superior to drug therapy, however, some patients with mitral stenosis caused by rheumatic fever are younger in age, and the life quality is obviously affected by early replacement of the valve; meanwhile, for the high-risk patients with surgical operation of advanced age combined with multi-system diseases, the surgical risk is high, the survival benefit is less, european data show that the surgical operation success rate of the patients is only 50%, and the surgical operation success rate of the patients with severe functional reflux is as low as 16%. Minimally invasive treatment of the mitral valve is therefore always the center of gravity explored by clinicians.
In the past 5 years, the mitral valve interventional shaping and replacing devices are endlessly developed all over the world, and the successful message of clinical trials is frequently sent. However, to date, the spread and popularity of this technique has remained quite limited, not only with regard to the specificity of mitral valve architecture, but also with regard to the difficulty of preoperative screening and assessment of patients. Currently, experts agree that transcatheter mitral valvuloplasty and replacement are recommended for pre-operative assessment mainly by transesophageal ultrasound, with very limited accuracy. Considering that the mitral valve is a spatial three-dimensional structure, the lesion is modal-diverse, has a complex subvalvular structure and is dynamically changed in the cardiac cycle, the esophageal ultrasound and CT plane analysis have great limitation, the controllability and the intuitiveness are poor, and the Zener risk and the problem in the actual operation are often difficult to find. Therefore, a new evaluation method which can provide a spatial three-dimensional model for observation and simulation is urgently needed in clinic.
The intersection of 3D printing technology with medicine is gradually highlighting the advantages of this technology. Compared with the traditional imaging examination, the 3D printing technology can display rich information of the mitral valve structure, and is particularly important for clinicians. Due to the physical properties of the material and the special requirements of the mitral valve structure, new requirements are placed on the transparency, surface finish, colorful display and soft and hard combination of the model.
Disclosure of Invention
The invention aims to provide a 3D model construction and preparation method for mitral regurgitation and calcified stenosis, which are used for solving the problems of limitations of mitral valve structure and subvalvular structure in the traditional image evaluation in the prior art.
In order to realize the task, the invention adopts the following technical scheme:
A3D model construction aiming at mitral regurgitation and calcified stenosis comprises the following steps:
step 1: acquiring left heart structure radiography data of a patient with mitral regurgitation and calcified stenosis, wherein the left heart structure radiography data comprises ascending aorta angiography data, aorta root angiography data, left atrium angiography data, left ventricle angiography data, coronary angiography data, left auricle angiography data, mitral valve leaflet angiography data, chordae tendinae angiography data and papillary muscle angiography data, and preprocessing the left heart structure angiography data to obtain heart CT data;
step 2: establishing a calcified tissue model and a blood model according to gray values corresponding to different tissues in cardiac CT data, wherein the blood model comprises an aorta root inner cavity blood model, an ascending aorta inner cavity blood model, a coronary artery inner cavity blood model, a left ventricle inner cavity blood model, a left atrium inner cavity blood model and a left atrial appendage inner cavity blood model;
and 3, step 3: obtaining left internal structure boundaries, mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries wrapped in a blood model, wherein the left internal structure boundaries comprise an aorta root, an ascending aorta, a coronary artery, a left ventricle, a left atrium and a left atrial appendage, comparing the obtained left internal structure boundaries, mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries with actual mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries in heart CT data, correcting the boundaries, and deleting the blood model to obtain an inner cavity model;
and 4, step 4: and (3) cutting the inner cavity model, reserving part of the left atrium, the left ventricle, the left auricle opening, the aortic root, the coronary artery opening, the mitral valve leaflets, the chordae tendinae and the papillary muscles in the inner cavity model, and then performing Boolean operation on the cut inner cavity model and the calcified tissue model obtained in the step (2) to obtain a 3D model of the mitral valve calcified stenosis and the mitral valve regurgitation disease.
Further, the pretreatment in step1 comprises the following substeps:
step a: selecting a group of aortic angiography data in the optimal leaflet observation state, and establishing an annulus plane according to the group of data, wherein the optimal leaflet observation state refers to the state of maximal left ventricular diastole or minimal left ventricular systole;
step b: and observing the left heart structure contrast data from top to bottom along the annulus plane, and adjusting the gray value of the left heart structure contrast data until mitral valve leaflets, chordae tendineae, papillary muscle structures, calcification distribution, mitral valve annulus morphology and a left ventricle chamber are clearly seen to obtain cardiac CT data.
Further, the gray scale value range of the left heart structure contrast data in the step b is as follows: the minimum value is 250-400 and the maximum value is 3071.
A method for preparing a 3D model aiming at mitral valve diseases comprises the following steps:
step 1: obtaining a 3D model of mitral valve disease by using the 3D model construction method for mitral regurgitation and calcified stenosis as claimed in any one of claims 1-3;
and 2, step: importing the 3D model into OBJET slicing software for printing, then placing the 3D model after printing into alkaline solution for vibration cleaning, taking out the model from the solution after cleaning, and washing surface residues;
and 3, step 3: putting the 3D model obtained in the step2 into a drying box, keeping a blowing mode for drying, taking out the drying model, and polishing the surface by using a sand blasting machine;
and 4, step 4: and (5) carrying out coating treatment on the surface of the model after grinding and polishing to finish the preparation of the model.
Further, in step2, the alkaline solution is a sodium hydroxide solution with a concentration of two percent and a sodium metasilicate solution with a concentration of one percent
Further, in the step2, the frequency of the oscillation cleaning is 25KHz, and the time of the oscillation cleaning is 30 minutes.
Further, in the step3, the temperature of the drying box is set to be 75 ℃, and the drying time is 150 minutes.
Furthermore, in the step3, the sand blasting machine adopts gravel with 50 meshes to grind impurities on the surface of the model, and then adopts gravel with 200 meshes to polish the surface of the model.
Further, when the coating treatment is performed in the step4, the following steps are adopted:
first coating operation was performed with 195T potting silica gel, then with a coating according to 10:1.2 mixing the silica gel and the curing agent in proportion to carry out secondary coating operation, and finally sealing the surface of the model with the curing agent.
Compared with the prior art, the invention has the following technical characteristics:
the mitral valve model obtained by the 3D printing technology can be better evaluated, and has the following advantages under the guidance of mitral regurgitation:
(1) The mitral valve replacement 3D printing model can be subjected to preoperative comprehensive assessment and patient screening, so that operation strategy formulation, valve model selection and implantation depth determination are performed, meanwhile, the 3D printing model can help vertically select a proper apical puncture part, important structures such as coronary arteries on the surface of cardiac muscle, chordae tendineae in ventricles, papillary muscles and the like are avoided, and important anatomical structures are prevented from being influenced by the in-and-out of guide wires and interventional valves in the operation.
(2) Aiming at the mitral valve repair, the printed three-dimensional mitral valve model can stereoscopically see the lesion area of the mitral valve leaflets and the structures of the left ventricle and the left atrium. Thereby, the doctor can analyze the selection of the surgical plan and select the clamping position in vitro.
The following advantages are provided in guiding calcified stenosis of the mitral valve:
(3) Printing the model and showing left auricle and left ventricle structure, the simulation avoids instructing the art person to avoid haring the left auricle before the art, to the narrow patient of valve opening, can help the art person to find the angle and the direction of suitable propelling movement sacculus, reduces the operation among the actual operation consuming time and the ray is ingested.
Drawings
FIG. 1 is a schematic diagram of a 3D heart model obtained by a conventional modeling method;
FIG. 2 is a heart chamber dissection model obtained by conventional modeling methods;
FIG. 3 is a schematic diagram of a blood model of the heart system obtained by the present invention;
FIG. 4 is a schematic view of a reconstructed 3D left heart model of the present invention;
FIG. 5 illustrates the mitral valve leaflets reconstructed by the present invention;
fig. 6 is a final model of a mitral valve leaflet in an embodiment of the invention;
fig. 7 is a papillary muscle model of chordae tendineae in an embodiment of the invention;
fig. 8 is a lumen model in an embodiment of the present invention.
Detailed Description
The design process of three-dimensional printing is as follows: the method is characterized in that firstly, modeling is carried out through computer modeling software, and then the built three-dimensional model is partitioned into sections, namely slices, layer by layer, so as to guide a printer to print layer by layer. The invention therefore also includes a modeling process and a slice printing process.
In this embodiment, a method for constructing a 3D model of mitral regurgitation and calcified stenosis is disclosed, which includes the following steps:
step 1: acquiring left heart structure radiography data of a patient with mitral regurgitation and calcified stenosis, wherein the left heart structure radiography data comprises ascending aorta angiography data, aorta root angiography data, left atrium angiography data, left ventricle angiography data, coronary artery angiography data, left auricle angiography data, pulmonary vein angiography data, mitral valve leaflet angiography data, chordae tendineae angiography data and papillary muscle angiography data, and preprocessing the left heart structure radiography data to obtain heart CT data;
the contrast data is selected according to the condition of a calcification part of a patient;
and 2, step: establishing a calcified tissue model and a blood model according to gray values corresponding to different tissues in cardiac CT data, wherein the blood model comprises an aorta root inner cavity blood model, an ascending aorta inner cavity blood model, a coronary artery inner cavity blood model, a left ventricle inner cavity blood model, a left atrium inner cavity blood model and a left atrial appendage inner cavity blood model;
and step 3: acquiring left intracardiac structure boundaries, mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries wrapped in a blood model, wherein the left intracardiac structure boundaries comprise an aorta root, an ascending aorta, a coronary artery, a left ventricle, a left atrium and a left atrial appendage, comparing the left intracardiac structure boundaries, the mitral valve leaflet boundaries, the chordae tendinae boundaries and the papillary muscle boundaries with actual mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries in cardiac CT data, correcting the boundaries, and deleting the blood model to obtain an inner cavity model;
and 4, step 4: and (3) cutting the inner cavity model, reserving a part of left atrium, left ventricle, left auricle opening, aortic root, coronary artery opening, mitral valve leaflet, chordae tendinae and papillary muscle in the inner cavity model, and then performing Boolean operation on the cut inner cavity model and the calcified tissue model obtained in the step (2) to obtain a 3D model of the mitral valve calcified stenosis and the mitral valve regurgitation disease.
Because different tissues absorb different X-rays, different tissues can display different colors on a computer, and the boundaries of the tissues are divided according to the different colors.
The process of establishing the calcified tissue model comprises the following steps: screening calcified tissues according to corresponding gray values of the calcified tissues, segmenting tissues connected with calcification, and establishing a calcified tissue 3D model, wherein the calcified tissue 3D model can truly reflect the calcification degree to the maximum extent;
preferably, the gray scale value range of the calcified tissue is: the minimum value interval is 530-630 and the maximum value is 3071.
Preferably, the range of gray values for the blood structure is: the minimum value interval is 164-261, and the maximum value is 3071.
The Boolean operation generally refers to combining simple basic graphs to generate a new shape in graph processing operation, and in the scheme, the Boolean operation is used for fusing the cut inner cavity model and the calcified tissue model to obtain a complete 3D model.
Specifically, the basis for clipping in step4 is to determine whether the reconstructed leaflet boundary on the model is close to the CT upper boundary, and if not, the model is modified to cut off the pulmonary veins, left atrial appendage, partial left atrium, partial left ventricle, partial ascending aorta and redundant coronary arteries contained in the entire left heart system, thereby creating a complete lumen model.
Specifically, the pretreatment in step1 includes the following substeps:
step a: selecting a group of left heart structure radiography data in the optimal leaflet observation state, and establishing an annulus plane according to the group of data, wherein the optimal leaflet observation state is the state with the maximum left ventricular diastole or the minimum left ventricular systole, namely the data in the optimal systole and diastole states; and selecting according to the compared multiple groups of CT data. The mitral valve annulus is a complex spatial structure because of its complex structure, and is also in a dynamic state with the cardiac cycle, so that it is necessary to reconstruct the diastolic and systolic phases as a surgical reference. The CT data for a patient includes at least one cardiac cycle divided into different groups, with one group selected from the different groups.
Step b: and observing the left heart structure contrast data from top to bottom along the annulus plane, and adjusting the gray value of the left heart structure contrast data until mitral valve leaflets, chordae tendineae, papillary muscle structures, calcification distribution, mitral valve annulus morphology and a left ventricle chamber are clearly seen to obtain cardiac CT data.
Preferably, the minimum value of the gray value range of the left heart structure contrast data is 250-400, and the maximum value is 3071;
specifically, in the step4, an annulus plane is adopted to cut off redundant parts in the complete inner cavity model, part of a left ventricle, a left atrium, an aortic root, a left auricle opening, a coronary artery opening, mitral valve leaflets, chordae tendineae and papillary muscles are reserved, the model is redrawn into grids and the surface of the model is smooth, the model is hollowed out to form a hollow structure, a repair model is checked, then Boolean operation is carried out on the cut inner cavity model and the calcified tissue model obtained in the step2 to obtain a 3D model aiming at mitral valve regurgitation and calcified stenosis, whether the obtained 3D model meets requirements of an anatomical structure or not is checked, and the contour is edited to be more real.
Example 1:
in this embodiment, a 3D model construction method for mitral valve disease is disclosed, which is implemented in a Mimics software by the following steps:
(1) The medical imaging equipment is used for collecting data of mitral valve diseases (mitral valve calcified stenosis, mitral regurgitation patient left cardiography, mainly collecting the aortic root, partial ascending aorta, coronary artery, left atrium and left ventricle of the patient, and generating a CT (DICOM) file containing systole and diastole.
(2) Importing the DICOM file into the Mimics software, and generating the mcs file for storage
(3) Data partitioning:
step1, observing different tissues, calcified structures and boundary conditions, valve leaflet forms and calcification degrees according to different chromatograms shown in the different tissues in Pseudo colors commands;
step2, selecting time phase data with the maximum or minimum left heart in the CT image playback, and adjusting the gray value of pixels of the data to enable the data to see the aorta, calcification and left heart structure completely and clearly;
step3, establishing an annulus plane in a View (View), and clearly seeing the mitral valve leaflets and calcification distribution condition from top to bottom on a transverse plane;
step4, a Mask is newly built to reconstruct the tissue of the calcified part by previewing the three-dimensional model, the calcification degree can be reflected to the maximum extent, the tissue connected with the calcification is separately segmented and reconstructed by using region growing (Regiongrow),
step5, newly building a second Mask to enable the Mask to cover ascending aorta lumen blood, aorta root lumen blood and left ventricle chamber blood;
step6, removing redundant heart tissues by using a Split mask to reconstruct an internal blood model of an aorta, a left ventricle, a left atrium, a left auricle and a coronary opening;
step7, checking the integrity of valve leaflets by using a Clipping three-dimensional model, and then manually editing and deleting mitral valve leaflets, chordae tendineae and papillary muscle structures contained in internal blood to build an integral inner cavity model;
(4) Importing the STL file of the output three-dimensional model into Geomagic Studio reverse software, cutting out redundant parts by using an annulus plane, reserving the root of an aorta, the opening of a coronary artery, the left ventricle, the left atrium and the opening of the left atrial appendage, redrawing a grid on the model and smoothing the surface of the model; hollowing out the model in Magics to form a hollow structure, checking and repairing the model, cutting the end face and calcified tissues in Geomagic Studio again, performing Boolean operation, and storing the file;
(5) The complete three-dimensional model is input into the mcs file to make the contour of the model visible, and check if it meets the requirements of the anatomical structure, if the contour can be edited, it is more true.
Example 2:
in this embodiment, the printing selection software is OBJET slicing software, and slicing software such as FDM Cura, SLA material magics, SLM QuantAM and the like can also be selected.
The embodiment discloses a method for preparing a 3D model for mitral regurgitation and calcified stenosis, which includes the following steps based on embodiment 1:
step 1: obtaining a 3D model aiming at mitral regurgitation and calcified stenosis by adopting any 3D model construction method aiming at mitral regurgitation and calcified stenosis, and exporting the model into an STL format file;
step 2: the 3D model is guided into OBJET slicing software for printing, the height of the model is as low as possible in the slicing process, the printing time is reduced, after a tool is used for removing a large support on the surface of the model, the 3D model after printing is placed into alkaline solution for vibration cleaning, after the cleaning is finished, the model is taken out from the solution and the surface residue is washed, and a water gun tool is used for washing the support material and the alkaline solution which are remained on the surface;
and step 3: putting the 3D model obtained in the step2 into a drying box, keeping a blowing mode for drying, taking out the drying model, and polishing the surface by using a sand blasting machine;
and 4, step 4: and (5) carrying out coating treatment on the surface of the model after grinding and polishing to finish the preparation of the model.
Specifically, the step2 of placing the printed 3D model into an alkaline solution for oscillation cleaning means that the model is soaked in a sodium metasilicate solution containing two percent of sodium hydroxide and one percent of sodium metasilicate, an ultrasonic cleaning machine is used for containing the solution and the model, and after the model is soaked in the solution, the model is subjected to oscillation cleaning for 30 minutes at a frequency of 25 KHz. If the mass of the model exceeds 300g, the oscillation time is properly prolonged, the total oscillation time of each oscillation is not more than 40 minutes, and the long-time swelling deformation of the model is avoided.
Specifically, the step3 of placing the 3D model obtained in the step2 into a drying box and keeping the model in a blowing mode for drying refers to that the model taken out is placed into a special industrial drying box and dried at the temperature of 75 ℃ for 150 minutes, the drying time of the model with the mass larger than 300g can be properly increased, the excess part is increased by 10 minutes every 50g, but the total drying time is not more than 180 minutes once, so that the long-time heating deformation of the model is avoided.
Specifically, the step3 of polishing the surface of the model by using a sand blasting machine refers to polishing impurities on the surface of the model by using 50-mesh gravel, and then polishing the surface of the model by using 200-mesh gravel.
Specifically, when the coating treatment is performed in the step4, the following steps are adopted:
first coating operation was performed with 195T potting silica gel, then with a coating according to 10:1.2 mixing the silica gel and the curing agent in proportion to carry out secondary coating operation, and finally sealing the surface of the model with the curing agent.
Preferably, the model is coated with 195T casting glue, polyurethane casting glue, flexible UV varnish, aqueous polyurethane coating glue, and the like.
Different according to the requirement of model, use different coating materials can obtain corresponding different effects, use 195T embedment glue and polyurethane casting glue can increase the permeability of model, will allocate good 195T embedment glue and polyurethane casting glue according to 2:1, the 195T pouring sealant can increase the viscosity of the liquid, and the polyurethane pouring sealant can increase the adhesive force between the liquid and the model after the liquid is solidified.
The model using the water-based polyurethane coating adhesive coating has lower transparency than the model using the pouring adhesive coating, but has stronger adhesive force than the pouring adhesive coating, and can ensure that the coating material does not fall off due to rubbing and friction when being simulated by using an instrument.
The material using the flexible UV gloss oil coating has transparency and adhesive force between those of the potting adhesive and the coating adhesive, and the coating is the thinnest and the curing speed is the fastest in all coating materials.
Specifically, the specific types of the various materials are as follows:
pouring sealant: an Osbang 195T transparent heat-conducting organic silicon pouring sealant.
Polyurethane pouring sealant: osbang 130pu transparent polyurethane pouring sealant.
UV flexible gloss oil: preferably 6510-46 UV gloss oil pressed by flexible film.
Aqueous polyurethane coating adhesive: a novel material for constant weather, non-ionic aqueous polyurethane resin HT-201 soft advection aqueous textile coating adhesive.
Comparative example 1:
(1) Importing the DICOM file into the mimics software, and selecting an image in a systolic period or a diastolic period;
(2) Manually adjusting the CT gray value to see the outline of the left heart system;
(3) A Mask is newly established, a threshold value is manually adjusted, a certain pixel gray value range is selected to include the inner wall and the outer wall of the aorta, the left atrium, the left ventricle, the left auricle and the left and right coronary arteries, the aortic sinus and the aortic root are made to form a lumen structure, and a region growing command is used for independent selection.
(4) Calculating a three-dimensional model with thick vessel wall, selecting a high-brightness calcified leaflet by using dynamic region growth, and checking whether the leaflet is completely reconstructed or not by using a Clipping model and whether the leaflet meets the requirement of surgical evaluation or not;
(5) Rebuilding a model of valve leaflets, chordae tendineae and papillary muscles according to the Edit pixel gray value required by the operation evaluation, and removing redundant tissues or adding a valve tissue mask;
(6) The Smoothing model enables the inner surface and the outer surface of the model to be smooth, and as the densities of a blood vessel wall and an external heart tissue are close under the influence of equipment, the grey values in the mimics are close and difficult to separate, the three-dimensional model is required to generate an STL file and is led into the Geomagic Studio for reverse modeling;
(7) In the Geomagic Studio, a polygon command is used to delete a triangular patch at a redundant structure, a mesh is redrawn and a model is relaxed, three uniformly distributed points (valve ring plane) at the mitral valve are respectively selected by using three point plane section commands, and redundant tissues are cut out.
(8) If the mitral valve is calcified, guiding the calcification into a Geomagic Studio to perform Boolean operation with the aortic valve, and storing the model as an STL file;
(9) Opening the STL model in Magics, clicking the repair model, if the model diagnosis has no problem, importing the model into the slice software slice and printing.
As shown in fig. 1, in comparative example 1, the inner and outer walls of the blood vessel are modeled by a simple adjustment threshold, the calcified position cannot be quickly and accurately reconstructed, the calcified position can be adhered to other soft heart tissues, and the later segmentation is complicated and difficult.
As shown in fig. 2, the conventional modeling method adopted in comparative example 1 can cover the heart with unnecessary soft tissue, the valve leaflet passage is not clear, meanwhile, the reconstructed in fig. 2 is a blood vessel lumen model, the reconstructed in fig. 4 is an internal blood form, and fig. 5 and fig. 2 have less noise, more obvious and accurate valve leaflet form and stronger purpose and have less post-processing work.

Claims (2)

1. A3D model construction method for mitral regurgitation and calcified stenosis is characterized by comprising the following steps:
step 1: acquiring left cardiac structure radiography data of a patient with mitral regurgitation and calcification stenosis, wherein the left cardiac structure radiography data comprises ascending aorta angiography data, aortic root angiography data, left atrium angiography data, left ventricle angiography data, coronary artery angiography data, left auricle angiography data, mitral valve leaflet angiography data, chordae tendinae angiography data and papillary muscle angiography data, and preprocessing the left cardiac structure radiography data to obtain cardiac CT data; the pre-processing comprises the following sub-steps:
a, step a: selecting a group of aortic angiography data in the optimal leaflet observation state, and establishing an annulus plane according to the group of data, wherein the optimal leaflet observation state refers to the state of maximal left ventricular diastole or minimal left ventricular systole;
step b: observing left heart structure contrast data from top to bottom along an annulus plane, and adjusting the gray value of the left heart structure contrast data until mitral valve leaflets, chordae tendineae, papillary muscle structures, calcification distribution conditions, mitral valve annulus morphology and a left ventricle chamber are clearly seen to obtain heart CT data; the gray value range of the left cardiac structure contrast data is: the minimum value is 250-400, and the maximum value is 3071;
step 2: establishing a calcified tissue model and a blood model according to gray values corresponding to different tissues in the cardiac CT data, wherein the blood model comprises an aorta root lumen blood model, an ascending aorta lumen blood model, a coronary artery lumen blood model, a left ventricle lumen blood model, a left atrium lumen blood model and a left atrial appendage lumen blood model;
the process of establishing the calcified tissue model comprises the following steps: screening out calcified tissues according to the corresponding gray values of the calcified tissues, segmenting calcified connected tissues and establishing a calcified tissue 3D model;
the gray value range of calcified tissue is: the minimum value interval is 530-630, and the maximum value is 3071;
and 3, step 3: acquiring left intracardiac structure boundaries, mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries wrapped in a blood model, wherein the left intracardiac structure boundaries comprise an aorta root, an ascending aorta, a coronary artery, a left ventricle, a left atrium and a left atrial appendage, comparing the acquired left intracardiac structure boundaries, mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries with actual mitral valve leaflet boundaries, chordae tendinae boundaries and papillary muscle boundaries in cardiac CT data, correcting the boundaries, and deleting the blood model to obtain an inner cavity model;
and 4, step 4: cutting the inner cavity model, reserving a part of left atrium, left ventricle, left auricle opening, aortic root, coronary artery opening, mitral valve leaflet, chordae tendinae and papillary muscle in the inner cavity model, and then performing Boolean operation on the cut inner cavity model and the calcified tissue model obtained in the step2 to obtain a 3D model of mitral valve calcified stenosis and mitral valve regurgitation disease; the basis of the cutting is to judge whether the boundary of the valve leaflet reconstructed on the model is close to the upper boundary of the CT, if not, the model is corrected, the pulmonary vein, the left auricle, part of the left atrium, part of the left ventricle, part of the ascending aorta and redundant coronary artery included in the whole left heart system are cut off, the model is redrawn with grids and the surface of the model is smooth, the model is hollowed out to form a hollow structure, and the model is checked and repaired to obtain the cut inner cavity model.
2. A method for preparing a 3D model aiming at mitral valve diseases is characterized by comprising the following steps:
step 1: obtaining a 3D model of mitral valve disease by using the 3D model construction method for mitral regurgitation and calcified stenosis as claimed in claim 1;
step 2: importing the 3D model into OBJET slicing software for printing, then placing the 3D model after printing into alkaline solution for vibration cleaning, taking out the model from the solution after cleaning, and washing surface residues; the alkaline solution is a sodium hydroxide solution with the concentration of three-point five percent and a sodium metasilicate solution with the concentration of two percent; the frequency of the vibration cleaning is 27KHz, and the time of the vibration cleaning is 45 minutes; if the mass of the model exceeds 300g, prolonging the oscillation time, wherein the total oscillation time of each oscillation cannot exceed 40 minutes;
and step 3: putting the 3D model obtained in the step2 into a drying box, keeping a blowing mode for drying, taking out the drying model, and polishing the surface by using a sand blasting machine; firstly, 50 meshes of gravel are adopted by the sand blasting machine to polish impurities on the surface of the model, then 200 meshes of gravel are adopted to finely grind the surface of the model, and finally 400 meshes of gravel are adopted to polish the surface of the model; drying at the temperature of 75 ℃ for 150 minutes, increasing the drying time of the model with the mass of more than 300g, increasing the drying time of the excess part by 10 minutes every 50g, wherein the total drying time is not more than 180 minutes once;
and 4, step 4: coating the surface of the polished model to finish the preparation of the model, specifically firstly coating 195T encapsulation silica gel for the first time, and then coating the surface of the polished model according to the ratio of 10:1.2 mixing the silica gel and the curing agent in proportion to carry out secondary coating operation, and finally sealing the surface of the model with the curing agent.
CN202010018012.2A 2020-01-08 2020-01-08 3D model construction and preparation method for mitral regurgitation and calcified stenosis Active CN111227930B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010018012.2A CN111227930B (en) 2020-01-08 2020-01-08 3D model construction and preparation method for mitral regurgitation and calcified stenosis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010018012.2A CN111227930B (en) 2020-01-08 2020-01-08 3D model construction and preparation method for mitral regurgitation and calcified stenosis

Publications (2)

Publication Number Publication Date
CN111227930A CN111227930A (en) 2020-06-05
CN111227930B true CN111227930B (en) 2022-11-11

Family

ID=70876060

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010018012.2A Active CN111227930B (en) 2020-01-08 2020-01-08 3D model construction and preparation method for mitral regurgitation and calcified stenosis

Country Status (1)

Country Link
CN (1) CN111227930B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111815586B (en) * 2020-06-29 2022-08-05 苏州润迈德医疗科技有限公司 Method and system for acquiring connected domain of left atrium and left ventricle based on CT image

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110570424A (en) * 2019-10-08 2019-12-13 中国人民解放军陆军军医大学 aortic valve semi-automatic segmentation method based on CTA dynamic image

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8315812B2 (en) * 2010-08-12 2012-11-20 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
US8675943B2 (en) * 2010-11-29 2014-03-18 Siemens Aktiengesellschaft Method and system for heart isolation in cardiac computed tomography volumes for patients with coronary artery bypasses
CN106264731B (en) * 2016-10-11 2019-07-16 昆明医科大学第一附属医院 A method of based on the virtual knee joint single condyle displacement technique model construction of point-to-point registration technique
CN106683549A (en) * 2016-12-13 2017-05-17 李翔宇 Aneurysm model based on 3D printing and manufacturing method thereof
CN106859814B (en) * 2017-03-13 2018-05-08 上海市东方医院 A kind of method of 3D printing manufacture artificial blood vessel
US11464639B2 (en) * 2018-01-31 2022-10-11 Oregon Health & Science University Methods for creating sinus-matched aortic valves
KR20190125596A (en) * 2018-04-30 2019-11-07 주식회사 실리콘사피엔스 Method for selecting an optimal stent for a patient
CN109501255A (en) * 2018-11-30 2019-03-22 孟兵 A kind of production method using 3D printing technique production materials for use in skull-fixing
CN109700574B (en) * 2018-12-21 2021-01-05 北京工业大学 Method for preparing calcified aortic valve based on CT image data
CN110368087B (en) * 2019-06-06 2021-01-08 中国人民解放军北部战区总医院 Information processing method and device and readable storage medium

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110570424A (en) * 2019-10-08 2019-12-13 中国人民解放军陆军军医大学 aortic valve semi-automatic segmentation method based on CTA dynamic image

Also Published As

Publication number Publication date
CN111227930A (en) 2020-06-05

Similar Documents

Publication Publication Date Title
Pandian et al. Dynamic three‐dimensional echocardiography: Methods and clinical potential
Muraru et al. Assessment of aortic valve complex by three-dimensional echocardiography: a framework for its effective application in clinical practice
CN111227931B (en) 3D model construction method and preparation method for aortic valve diseases
US11464639B2 (en) Methods for creating sinus-matched aortic valves
CN109700574B (en) Method for preparing calcified aortic valve based on CT image data
Omran et al. Echocardiography in mitral stenosis
US8177835B2 (en) Method of imaging for heart valve implant procedure
Rymuza et al. Holographic imaging during transcatheter aortic valve implantation procedure in bicuspid aortic valve stenosis
Zamorano et al. Mitral valve anatomy: implications for transcatheter mitral valve interventions
CN111227930B (en) 3D model construction and preparation method for mitral regurgitation and calcified stenosis
Padala et al. Impact of mitral valve geometry on hemodynamic efficacy of surgical repair in secondary mitral regurgitation
Kasprzak et al. Three‐dimensional echocardiography of the aortic valve: Feasibility, clinical potential, and limitations
Amedi et al. Hemodynamic outcomes after undersizing ring annuloplasty and focal suture annuloplasty for surgical repair of functional tricuspid regurgitation
Tsang et al. Mitral valve dynamics in severe aortic stenosis before and after aortic valve replacement
Maggiore et al. Transcatheter Mitral Valve Repair and Replacement: Current Evidence for Intervention and the Role of CT in Preprocedural Planning—A Review for Radiologists and Cardiologists Alike
Xu et al. Balloon sizing during transcatheter aortic valve implantation
CN108670362B (en) Cutting guide plate prepared by digital space reconstruction and 3D printing technology
Stepanenko et al. 3D Virtual modelling, 3D printing and extended reality for planning of implant procedure of short-term and long-term mechanical circulatory support devices and heart transplantation
Khamooshian et al. Dynamic three-dimensional geometry of the aortic valve apparatus—a feasibility study
Aversa et al. Image-based analysis of tricuspid valve biomechanics: towards a novel approach integrating in vitro 3D-echocardiography and finite element modelling
Kaule et al. Impact of aortic root geometry on hydrody-namic performance of transcatheter aortic valve prostheses: Development of physiological and pathophysiological vessel models using additive manufacturing techniques
RU225678U1 (en) PERSONALIZED 3D MODEL OF THE CARDIO-AORTIC COMPLEX
CN112991548B (en) Personalized mitral valve finite element modeling and simulation method, system and equipment
Shiota Surgical Management
de Agustin et al. Valvular heart disease–stenoses

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant