CN102609981B - Method for constructing three-dimensional brain model - Google Patents

Method for constructing three-dimensional brain model Download PDF

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Publication number
CN102609981B
CN102609981B CN201210017228.2A CN201210017228A CN102609981B CN 102609981 B CN102609981 B CN 102609981B CN 201210017228 A CN201210017228 A CN 201210017228A CN 102609981 B CN102609981 B CN 102609981B
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dimensional
module
image
magnetic resonance
brain
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CN102609981A (en
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杨治荣
郭智霖
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Ninth Peoples Hospital Shanghai Jiaotong University School of Medicine
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Ninth Peoples Hospital Shanghai Jiaotong University School of Medicine
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Abstract

The invention discloses a method for constructing a three-dimensional brain model, comprising the steps of using a magnetic resonance skull sagittal thin layer to image; obtaining data with a T1DICOM format as a source material; transforming the source material into an image with a bmp format; separating a target image from the image with the bmp format; introducing the obtained target image to a three-dimensional reconstruction software; setting space position in an empty manner, producing a mask and constructing a crude three-dimensional model; converting the crude three-dimensional model into a low surface target model by means of surface lowering processing; finally, connecting the low surface target model and the original data with the T1DICOM format to obtain the three-dimensional brain model. When the three-dimensional brain model constructed by the invention and the original skull magnetic resonance target picture are verified, the contour line of the three-dimensional brain model is nicely consistent with the edge of the original image with the T1DICOM format.

Description

Build the method for three-dimensional brain model
Technical field
The present invention relates to a kind of method building 3D numeral brain model, particularly relate to a kind of method of tomoscan picture being carried out three-dimensional restructuring formation three-dimensional brain model.
Background technology
Nervous System Anatomy is the Medical Morphology science of a various space structure complexity of content, particularly basis cranii and brain dissect abstract hard to understand be outstanding problem in teaching and clinical practice and where the shoe pinches, traditional method utilizes the two-dimentional means such as chalk, blackboard, teaching material, wall chart, projection to explain, and then carries out sample teaching to cultivate doctor.Clinically, cerebral cortex and brain DEEP STRUCTURE are the main parts that neurosurgery is organized work, but cerebral cortex and deep nuclei space structure very complicated, be difficult to clearly to hold exactly, therefore neurosurgeon usually uses head two-dimensional scan planar graph information, gains knowledge according to brain anatomy, abstract reconstruct brain three-dimensional information, reconstruct, once there is deviation, will form mistake and risk.
Therefore, build the visual brain model of high, that error probability the is little 3-dimensional digital of fidelity, be conducive to neurosurgery and select rational operation pathway, effectively instruct neurosurgery clinical practice, be also conducive to the teaching of medical colleges and schools.
The people such as Wei Na are in " the brain model three-dimensional rebuilding method based on Visualization Toolki is studied " (China Rehabilitation theory and practice, 11st volume the 3rd phase in 2005,167 ~ 169 pages) disclose based on CT measurement data in a literary composition, utilize visual post process Visualization Toolki to realize medical image three-dimensional visualization in conjunction with VC, rebuild head model; On this basis, Zhang Shuli etc. are described in detail utilizing Visualization Toolki to carry out the visual of CT image in " utilizing VTK to realize medicine CT image three-dimensional visualization " (Qiqihar Medical College's journal, phase 2006 phases the 9th) literary composition.
But brain is different with head, brain is a part of structure of head.Brain can not be built by the method for rebuilding head.Because it is the difficulty that said method cannot overcome that brain is separated from head.Moreover for all brain structures, head B-sonography (magnetic resonance imaging) is much clear compared to head CT, therefore needs the construction method of the three-dimensional brain model based on MRI image.
Summary of the invention
In order to solve the problem utilizing MRI imaging reconstruction three-dimensional brain model, the invention provides a kind of method building three-dimensional brain model, based on MRI imaging, utilizing computing machine recombination to construct three-dimensional brain model.
Therefore the object of this invention is to provide a kind of method building three-dimensional brain model, step comprises:
Step 1, select the brain position will carrying out reconstructing three-dimensional model, the imaging of magnetic resonance head sagittal plain thin layer, obtains T 1the raw data of DICOM form and the image of bmp form;
Step 2, (brain) target image is separated from the head image of bmp form, be separated brain target image imported in order successively dimensional orientation setting module in computing machine by importing module, the dimensional orientation of setting picture, makes the dimensional orientation of picture corresponding with real space position;
Step 3, processor operations image segmentation module, the imaging processing that will set orientation becomes segmentation tissue to cover plate, and carries out alternately morphology opening operation and closed operation by procedure operation computing module, covers tiny uneven in the edge of plate to eliminate segmentation tissue;
Step 4, three-dimensional reconstruction module carries out three-dimensional computing, carries out three-dimensional reconstruction and obtains three-dimensional roughcast, and derived in the mode of visual image by three-dimensional roughcast by converter segmentation tissue;
Step 5, imports the second computing module by three-dimensional roughcast, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then does Boolean calculation with object module and get common factor, obtain bottom surface object module;
Step 6, imports relating module, simultaneously by magnetic resonance image data (above-mentioned T by bottom surface object module 1dICOM data) import relating module, utilize the method for multiaspect pinup picture to carry out data correlation, obtain visualization of 3 d brain model, and shown by display device.
Wherein, shown " association " refer to multiaspect pinup picture.
Wherein, in described magnetic resonance head sagittal plain thin layer image-forming step, thickness is preferably 0.1 ~ 1.0mm, is more preferably 0.4 ~ 1.0mm, most preferably is 0.5mm; Layer, apart from being preferably 0.90 ~ 1.05mm, being more preferably 0.90 ~ 1.0mm, most preferably being 0.95mm.
The number of plies of described magnetic resonance head sagittal plain thin layer imaging is preferably >=dip stratum, more elects 161 ~ 176 layers as.
The visualization of 3 d brain model obtained in step 6 is shown in axle position, Coronal and sagittal plain respectively by display device, or any one orientation display in axle position, Coronal and sagittal plain.
According to a kind of preferred embodiment of the method for the present invention's above-mentioned structure three-dimensional brain model, in step 2, by mimics software, imaging is imported dimensional orientation setting module, and by this software set dimensional orientation.
Wherein, the dimensional orientation position of setting is: the orientation in virtual is selected according to true bearing.
According to the another kind of preferred embodiment of the method for the present invention's above-mentioned structure three-dimensional brain model, 3DS-MaX software creation bottom surface rectangular parallelepiped can be used in step 5 and carry out Boolean calculation and get common factor.But also can use other software or program with identical function.
In step 6,3DS-MaX software also can be used to import bottom surface object module and magnetic resonance image data, carry out data correlation.But also can use other software or program with identical function.
In the method for the structure three-dimensional brain model that the present invention is above-mentioned, after constructing three-dimensional brain model, colored drawing can also be carried out and play up, to obtain better bandwagon effect.
What the present invention built the method employing of three-dimensional brain model is connected with dough sheet by the outline line of multilayer two-dimension image, construct surface, becomes solid from plane, realizes two dimension and becomes three-dimensional, then carry out aftertreatment, by display device, visualization of 3 d brain model is shown.Can find by carrying out contrast with original head B-sonography picture, range line profile and the MRI picture of the three-dimensional brain model of the present invention's structure are very identical.
In sum, the present invention has constructed the stimulated three-dimensional image of the 3-D cranium brain dissection with good visibility by said method, substantially increase efficiency of teaching and ensure that quality of medical care.
Accompanying drawing explanation
Fig. 1 is the three-dimensional brain model photo that the brain built in an embodiment of the present invention cuts;
Fig. 2 is the three-dimensional brain model photo that the brain built in an embodiment of the present invention cuts;
The brain that Fig. 3 is brain position described in Fig. 1 of building in an embodiment of the present invention and head cut three-dimensional brain model photo;
Fig. 4 is the telocoele Model Background in an embodiment of the present invention;
Fig. 5 is the telocoele three-dimensional brain model photo built in an embodiment of the present invention;
Fig. 6 is the side brain stripping and slicing three-dimensional brain model photo built in an embodiment of the present invention;
The brain that Fig. 7 is brain position described in Fig. 2 of building in an embodiment of the present invention and head cut three-dimensional model photo;
Fig. 8 is the full brain model photo of three-dimensional of the band portion skull built in an embodiment of the present invention;
Fig. 9 is when data correlation (do not give) skeleton diagram that the full brain model of three-dimensional that the embodiment of the present invention 8 builds cuts arbitrarily.
Embodiment
The invention provides a kind of method building three-dimensional brain model, step comprises:
Step 1, selects head magnetic resonance sagittal plain thin layer imaging gained T 1the data of DICOM form are source book, source book are converted into the head image of bmp form;
Step 2, target image (brain) is separated from the head image of bmp form, described target image imported in order successively dimensional orientation setting module in computing machine by importing module, the dimensional orientation of setting picture, makes the dimensional orientation of picture corresponding with real space position;
Step 3, processor operations image segmentation module, the image procossing that will set orientation becomes segmentation tissue to cover plate, and carries out alternately morphology opening operation and closed operation by procedure operation computing module, covers tiny uneven in the edge of plate to eliminate segmentation tissue;
Step 4, three-dimensional reconstruction module carries out three-dimensional computing, carries out three-dimensional reconstruction and obtains three-dimensional roughcast, and derived in the mode of visual image by three-dimensional roughcast by converter segmentation tissue;
Step 5, imports the second computing module by three-dimensional roughcast, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then does Boolean calculation with object module and get common factor, obtain bottom surface object module;
Step 6, imports relating module, simultaneously by magnetic resonance image data (above-mentioned T by bottom surface object module 1dICOM data) import relating module, utilize the method for multiaspect pinup picture to carry out data correlation, obtain visualization of 3 d brain model, and shown by display device.
Below by specific embodiment, method the present invention being built to three-dimensional brain model is described in detail and describes, and to make to understand the present invention better, but should be understood that, following embodiment does not limit the scope of the invention.
embodiment 1
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
By brain target separation of images out, be selected from the bmp format-pattern of people's Brain, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, by the dimensional orientation of dimensional orientation setting module setting picture, the locus that the brain in picture is set at dimensional orientation setting module is corresponding with real space position.
Step 3
Central processing unit operation image segmentation module carries out segmentation image, and background is black, generates segmentation tissue and covers plate, then set pixel parameter; To be hocketed morphology opening operation and closed operation by procedure operation computing module, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Rebuild the roughcast face number generated too many, travelling speed is unfavorable for playing up slowly, more cannot complete pinup picture.Need to fall face process to model.
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 1 is the three-dimensional stereo model that the brain built in the present embodiment cuts.
embodiment 2
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
Be selected from the magnetic resonance image (MRI) of the part behind position described in human brain removing embodiment 1, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, the dimensional orientation of setting picture, the locus that brain in picture is set at dimensional orientation setting module is corresponding with real space position, is then loaded into the space position parameter of setting.
Step 3
Carry out segmentation image, background is black, generates segmentation tissue and covers plate, then set pixel parameter; Hocket morphology opening operation and closed operation, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Rebuild the roughcast face number generated too many, travelling speed is unfavorable for playing up slowly, more cannot complete pinup picture.Need to fall face process to model.
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 2 is the three-dimensional stereo model that the brain built in the present embodiment cuts.
embodiment 3
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
Be selected from position described in human brain embodiment 1 and comprise the magnetic resonance image (MRI) of part of the head surrounding this part, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, by the dimensional orientation of dimensional orientation setting module setting picture, the locus that brain in picture is set at dimensional orientation setting module is corresponding with real space position, is then loaded into the space position parameter of setting.
Step 3
Central processing unit operation image segmentation module carries out segmentation image, and background is black, generates segmentation tissue and covers plate, then set pixel parameter; To be hocketed morphology opening operation and closed operation by procedure operation computing module, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Rebuild the roughcast face number generated too many, travelling speed is unfavorable for playing up slowly, more cannot complete pinup picture.Need to fall face process to model.
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 3 is the three-dimensional stereo model that the brain with head built in the present embodiment cuts, and outward flange white portion is skull and scalp.
embodiment 4
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
Be selected from the magnetic resonance image (MRI) of human brain telocoele, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, the dimensional orientation of setting picture, the locus that brain in picture is set at dimensional orientation setting module is corresponding with real space position, is then loaded into the space position parameter of setting.
Step 3
Carry out segmentation image, background is black, generates segmentation tissue and covers plate, then set pixel parameter; Hocket morphology opening operation and closed operation, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 4 be build in the present embodiment do not carry out data correlation time the background of telocoele model; Fig. 5 is the telocoele three-dimensional stereo model built in the present embodiment.
embodiment 5
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
Be selected from the magnetic resonance image (MRI) of human brain telocoele part stripping and slicing, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, the dimensional orientation of setting picture, the locus that brain in picture is set at dimensional orientation setting module is corresponding with real space position, is then loaded into the space position parameter of setting.
Step 3
Carry out segmentation image, background is black, generates segmentation tissue and covers plate, then set pixel parameter; Hocket morphology opening operation and closed operation, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 6 builds telocoele stripping and slicing three-dimensional stereo model in the present embodiment.
embodiment 6
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
Be selected from human brain part described in embodiment 2 and surround the magnetic resonance image (MRI) of this part head, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, the dimensional orientation of setting picture, the locus that brain in picture is set at dimensional orientation setting module is corresponding with real space position, is then loaded into the space position parameter of setting.
Step 3
Carry out segmentation image, background is black, generates segmentation tissue and covers plate, then set pixel parameter; Hocket morphology opening operation and closed operation, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 7 builds the Brain of side and the three-dimensional stereo model of head in the present embodiment, in figure, outer white border region is skull.
embodiment 7
Step 1
34 years old healthy male volunteers, the imaging of 1.5T magnetic resonance head sagittal plain thin layer, gained T 1dICOM form raw data is the data of this research.Image-forming condition: thickness 0.8mm, layer is apart from 0.95mm; W × H=256 × 256; The number of plies 170 layers.
Magnetic resonance image (MRI) pre-service is become bmp form.
Step 2
Graphics workstation: Core central processing unit, internal memory, color monitor, 1024 × 768 resolution, storage unit; Windows XP operating system, 3DS-MaX11.0, mimics8.0 and related software thereof.
Be selected from the magnetic resonance image (MRI) of human brain and part head, import mimics software, the bmp format-pattern of pre-service gained is imported in order successively and specifies layer, the dimensional orientation of setting picture, the locus that brain in picture is set at dimensional orientation setting module is corresponding with real space position, is then loaded into the space position parameter of setting.
Step 3
Carry out segmentation image, background is black, generates segmentation tissue and covers plate, then set pixel parameter; Hocket morphology opening operation and closed operation, to eliminate tiny rough and uneven in surface in edge.
Step 4
Then perform three-dimensional computing, the reconstruction quality setting optimization, as high, carries out three-dimensional reconstruction to segmentation tissue.Then export STL form and be kept at storage unit, the English name named file of segmentation tissue, such as brain.stl.The structure of three-dimensional roughcast is completed to this.
Step 5
Three-dimensional roughcast is imported the second computing module by 3DS-MaX software, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then do Boolean calculation with object module and get common factor, obtain bottom surface object module.Still preserve with STL form after satisfaction.
Step 6
By 3DS-MaX software, bottom surface object module is imported relating module, simultaneously by magnetic resonance picture T 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
Fig. 8 is the full brain model photo of three-dimensional of the band portion skull built in the present embodiment, and wherein, 2 is head, and 1 is brain; Fig. 9 is when data correlation (the do not give) skeleton diagram building in the present embodiment that three-dimensional full brain model cuts arbitrarily.
Original head B-sonography Target Photo and model structure contrast, and result picture and model are very identical.Illustrate that the method for the invention is the method for the three-dimensional brain stereoscopic model of a kind of desirable structure.
Be described in detail specific embodiments of the invention above, but it is just as example, the present invention is not restricted to specific embodiment described above.To those skilled in the art, any equivalent modifications that the present invention is carried out and substituting also all among category of the present invention.Therefore, equalization conversion done without departing from the spirit and scope of the invention and amendment, all should contain within the scope of the invention.

Claims (7)

1. build a method for three-dimensional brain model, it is characterized in that, step comprises:
Step 1, select the brain position will carrying out reconstructing three-dimensional model, the imaging of magnetic resonance head sagittal plain thin layer, obtains T 1the raw data of DICOM form and the image of bmp form; The number of plies of described magnetic resonance head sagittal plain thin layer imaging is more than or equal to dip stratum;
Step 2, target image is separated from the head image of bmp form, target image imported in order successively dimensional orientation setting module in computing machine by importing module, the dimensional orientation of setting picture, makes the dimensional orientation of picture corresponding with real space position;
Step 3, processor operations image segmentation module, the imaging processing that will set orientation becomes segmentation tissue to cover plate, and carries out alternately morphology opening operation and closed operation by procedure operation computing module, covers tiny uneven in the edge of plate to eliminate segmentation tissue;
Step 4, three-dimensional reconstruction module carries out three-dimensional computing, carries out three-dimensional reconstruction and obtains three-dimensional roughcast, and derived in the mode of visual image by three-dimensional roughcast by converter segmentation tissue;
Step 5, imports the second computing module by three-dimensional roughcast, creates the bottom surface rectangular parallelepiped that volume is greater than object module, then does Boolean calculation with object module and get common factor, obtain bottom surface object module;
Step 6, imports relating module, simultaneously by magnetic resonance picture T by bottom surface object module 1dICOM raw data imports relating module, utilizes the method for multiaspect pinup picture to carry out data correlation, obtains visualization of 3 d brain model, and shown by display device.
2. the method for structure three-dimensional brain model according to claim 1, is characterized in that, in described magnetic resonance head sagittal plain thin layer image-forming step, thickness 0.1 ~ 1.0mm, layer is apart from 0.90 ~ 1.05mm.
3. the method for structure three-dimensional brain model according to claim 1, is characterized in that, the three-dimensional brain model obtained in step 6 is shown in axle position, Coronal and sagittal plain respectively by display device.
4. the method for structure three-dimensional brain model according to claim 1, is characterized in that, by mimics software, imaging is imported dimensional orientation setting module in step 2, and by this software set dimensional orientation.
5. the method for structure three-dimensional brain model according to claim 4, is characterized in that, the dimensional orientation location parameter of setting is: layer is apart from equaling magnetic resonance imaging layer distance.
6. the method for structure three-dimensional brain model according to claim 1, is characterized in that, uses 3DS-MaX software creation bottom surface rectangular parallelepiped and carry out Boolean calculation to get common factor in step 5.
7. the method for structure three-dimensional brain model according to claim 1, is characterized in that, in step 6, uses 3DS-MaX software to import bottom surface object module and magnetic resonance image data, carries out data correlation.
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103729875B (en) * 2013-12-09 2016-09-07 深圳先进技术研究院 The left ventricle three-D profile method for reconstructing of cardiac magnetic resonance images and system
CN111429765A (en) * 2020-04-27 2020-07-17 裴欣瑶 Brain anatomy VR learning system and method
CN115880438A (en) * 2023-01-06 2023-03-31 中国民航大学 Head model construction method and system, electronic device and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
三维数字人脑模型的构建与验证;杨治荣 等;《第二军医大学学报》;20110331;第32卷(第3期);第291-294页 *
虚拟现实技术的关键技术研究;刘畅;《数字技术与应用》;20110115(第1期);第65-66页 *

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