CN109949404A - Based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system - Google Patents
Based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system Download PDFInfo
- Publication number
- CN109949404A CN109949404A CN201910040655.4A CN201910040655A CN109949404A CN 109949404 A CN109949404 A CN 109949404A CN 201910040655 A CN201910040655 A CN 201910040655A CN 109949404 A CN109949404 A CN 109949404A
- Authority
- CN
- China
- Prior art keywords
- image
- digital human
- mri
- data
- dimensional
- 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.)
- Withdrawn
Links
Landscapes
- Apparatus For Radiation Diagnosis (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Image Processing (AREA)
Abstract
The present invention provides a kind of based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system, and method includes: image co-registration step, and Digital Human image is merged with CT image and/or MRI image to generate corresponding blending image；Image segmentation step chooses target area in blending image, obtains the corresponding two dimension segmentation data in target area；Data modification step modifies to two dimension segmentation data by image processing tool；Modified two dimension segmentation data are carried out three-dimensional reconstruction, generate corresponding 3-D image by three-dimensional reconstruction step.Whereby, the present invention can merge Digital Human image with CT image and/or MRI image, make full use of the advantage of various medical images, thus obtain information in more detail, the clearer 3 d medical images of display.
Description
Technical field
The present invention relates to Medical Image Processing, Computer Image Processing, computer medicine assisting in diagnosis and treatment systems technology field,
More particularly to it is a kind of based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system.
Background technique
For picture data collection in digital personal data due to high resolution, real colour can intuitively reflect human body knot very much
Structure.However when acquiring Digital Human color data, since camera has various interference in shooting process, so that between image sequence
Position and color characteristics mismatch, although the quality of data set can be improved by position registration and color correction, remain unchanged
The effect of three-dimensional reconstruction can be severely impacted.Traditional medical image method is the gray level image based on tissue characteristics, segmentation
Method is difficult to directly apply to the segmentation of Digital Human, if being used at conventional automatic division method again after being translated into gray level image
Reason, and information can be lost, influence segmentation precision.
Each medical image imaging technique and inspection method have its advantage and deficiency, due to CT (Computed
Tomography, computer tomography) image sequence interferes less in acquisition, it and is gray level image, traditional Three-dimensional Gravity
This can effectively be rebuild by building algorithm, and effect is good, although however CT image can provide height to the higher tissue of bone isodensity
Clearly image but shows soft tissue structure not good enough.MRI (Magnetic Resonance Imaging, magnetic resonance imaging)
Image but can not finely show bony structure to the imaging of soft tissue resolution ratio with higher.Though Digital Human image can be clear
Reflect the boundary of anatomical structure, but since amount of image information is big, and some small structures proportion in whole image is small, from
Interference when dynamic segmentation vulnerable to other regions.
So the various medical images for comprehensively utilizing patient are highly important.CT is combined with MRI to be made up
CT is insufficient to the display of soft tissue and MRI is insufficient to the display of bone tissue.Digital personal data can provide more detailed human body
Structural information.Therefore by three's image co-registration, available one it is new, information is more detailed, the clearer image of display.
The multi-modal image information technology such as CT-MRI image fusion technology is applied to neurosurgery and oral cavity currently, having
Decorative sursery, the i.e. Three-dimension Reconstruction Model based on CT-MRI blending image.But by colorful number people and CT, MRI image three
The operation that three-dimensional reconstruction is carried out after fusion is fewer.
In summary, the existing technology has inconveniences and defects in actual use, so it is necessary to be improved.
Summary of the invention
For above-mentioned defect, the purpose of the present invention is to provide one kind to be merged based on Digital Human with CT and/or MRI image
Three-dimensional rebuilding method and system, Digital Human image can be merged with CT image and/or MRI image, be made full use of various
The advantage of medical image, thus obtain information in more detail, the clearer 3 d medical images of display.
To achieve the goals above, the present invention provides a kind of Three-dimensional Gravity merged based on Digital Human with CT and/or MRI image
Construction method, the three-dimensional rebuilding method includes:
Image co-registration step merges Digital Human image to generate corresponding fusion with CT image and/or MRI image
Image；
Image segmentation step chooses target area in the blending image, obtains the corresponding two dimension in the target area
Divide data；
Data modification step modifies to the two dimension segmentation data by image processing tool；
The modified two dimension segmentation data are carried out three-dimensional reconstruction, generate corresponding three-dimensional figure by three-dimensional reconstruction step
Picture.
The three-dimensional rebuilding method according to the present invention merged based on Digital Human with CT and/or MRI image, described image
Fusion steps further comprise:
Import the CT image and/or the MRI image；
Import the registered Digital Human image；
By the channel alpha of image and opacity, the Digital Human image and the CT image and/or described are realized
The fusion of CT image described in MRI image generates the corresponding blending image.
The three-dimensional rebuilding method described image according to the present invention merged based on Digital Human with CT and/or MRI image
Segmentation step further comprises:
At least one target point is chosen in the blending image；
By algorithm of region growing, the corresponding target area is generated according to the target point, obtains the target area
The corresponding two dimension segmentation data in domain.
Data described in the three-dimensional rebuilding method according to the present invention merged based on Digital Human with CT and/or MRI image
Amendment step further comprises:
Image layer is adjusted, according to the display of colorful number people, using paintbrush fill tool, in the two dimension segmentation data
Add area-of-interest；
Image layer is adjusted, according to the display of colorful number people, wipes tool using paintbrush, in the two dimension segmentation data
Wipe overdivided region.
Three-dimensional described in the three-dimensional rebuilding method according to the present invention merged based on Digital Human with CT and/or MRI image
Reconstruction procedures further comprise:
Three-dimensional reconstruction is carried out to the modified two dimension segmentation data by iso-surface patch algorithm or volume rendering algorithm, is generated
The corresponding 3-D image.
The present invention also provides a kind of three-dimensional reconstruction system merged based on Digital Human with CT and/or MRI image, the three-dimensionals
Reconstructing system includes:
Image co-registration module, it is corresponding to generate for being merged with CT image and/or MRI image Digital Human image
Blending image；
It is corresponding to obtain the target area for choosing target area in the blending image for image segmentation module
Two dimension segmentation data；
Data modification module, for being modified by image processing tool to the two dimension segmentation data；
Three-dimensional reconstruction module generates corresponding three for the modified two dimension segmentation data to be carried out three-dimensional reconstruction
Tie up image.
The three-dimensional reconstruction system according to the present invention merged based on Digital Human with CT and/or MRI image, described image
Fusion Module further comprises:
First imports submodule, for importing the CT image and/or the MRI image；
Second imports submodule, for importing the registered Digital Human image；
Image co-registration submodule, for by the channel alpha of image and opacity, realize the Digital Human image with
The fusion of CT image described in the CT image and/or the MRI image generates the corresponding blending image.
The three-dimensional reconstruction system according to the present invention merged based on Digital Human with CT and/or MRI image, described image
Segmentation module further comprises:
Object selection submodule, for choosing at least one target point in the blending image；
Area generation submodule, for generating the corresponding target according to the target point by algorithm of region growing
Region obtains the corresponding two dimension segmentation data in the target area.
The three-dimensional reconstruction system according to the present invention merged based on Digital Human with CT and/or MRI image, the data
Modified module further comprises:
Submodule is added in region, for adjusting image layer, according to the display of colorful number people, and using paintbrush fill tool,
Area-of-interest is added in the two dimension segmentation data；
Submodule is wiped in region, for adjusting image layer, according to the display of colorful number people, wipes tool using paintbrush,
Overdivided region is wiped in the two dimension segmentation data.
The three-dimensional reconstruction system according to the present invention merged based on Digital Human with CT and/or MRI image, the three-dimensional
Module is rebuild to be used to carry out three-dimensional reconstruction to the modified two dimension segmentation data by iso-surface patch algorithm or volume rendering algorithm,
Generate the corresponding 3-D image.
The present invention first merges Digital Human image with CT image and/or MRI image；And it is chosen in blending image
Target area obtains corresponding two dimension segmentation data；It is modified by image processing tool to two dimension segmentation data, is such as added
Area-of-interest and erasing overdivided region；Modified two dimension segmentation data are finally subjected to three-dimensional reconstruction.Whereby, of the invention
Digital Human image can be merged with CT image and/or MRI image, the advantage of various medical images be made full use of, to obtain
Information is more detailed, shows clearer 3 d medical images.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural schematic diagrams of Digital Human and CT and/or the MRI image three-dimensional reconstruction system merged；
Fig. 2 is that the present invention is based on Digital Humans and the signal of the preferred structure of CT and/or the MRI image three-dimensional reconstruction system merged
Figure；
Flow chart of the Fig. 3 based on Digital Human with CT and/or the MRI image three-dimensional rebuilding method merged；
Preferred flow charts of the Fig. 4 based on Digital Human with CT and/or the MRI image three-dimensional rebuilding method merged；
Fig. 5 A~Fig. 5 H is the three-dimensional reconstruction instance graph of the brain stem image co-registration of Digital Human and CT of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
It should be noted that the reference of " one embodiment ", " embodiment ", " example embodiment " etc. is directed in this specification,
The embodiment for referring to description may include specific feature, structure or characteristic, and each embodiment of but not must include this
A little a particular feature, structure, or characteristics.In addition, such statement not refers to the same embodiment.Further, implementation is being combined
When example describes specific feature, structure or characteristic, regardless of either with or without specific description, it has been shown that by such feature, structure
Or it is in the knowledge of those skilled in the range that characteristic, which is integrated in other embodiments,.
In addition, some vocabulary has been used in specification and subsequent claim to censure specific components or component,
Person with usual knowledge in their respective areas is, it is to be appreciated that manufacturer can call the same component with different noun or term
Or component.This specification and subsequent claim not in such a way that the difference of title is as component or component is distinguished, and
It is the criterion with component or component difference functionally as differentiation.In specification in the whole text and following claims
Mentioned " comprising " and "comprising" is an open term, therefore should be construed to " including but not limited to ".In addition, " connection "
One word is comprising any direct and indirect means of electrical connection herein.Indirect means of electrical connection includes passing through other devices
It is attached.
Fig. 1 be the present invention is based on the structural schematic diagram of Digital Human and CT and/or the MRI image three-dimensional reconstruction system merged,
The three-dimensional reconstruction system 100 includes:
Image co-registration module 10, for merging colorful number people image with CT image and/or MRI image to generate
Corresponding blending image.Image co-registration is exactly the same target image that will differently obtain (or with Same Way in difference
The image that moment obtains) take certain algorithm to carry out integrated treatment, obtain an image that is new, meeting the requirements.The present invention is real
Border includes three kinds of technical solutions: the first, by Digital Human image, both images are merged to generate corresponding melt with CT image
Close image.The second, by Digital Human image, both images are merged to generate corresponding blending image with MRI image.Third,
Digital Human image, CT image and MRI image these three images are merged to generate corresponding blending image.Digital personal data
More detailed organization of human body information can be provided, CT can provide the image of high-resolution, MRI image to the higher tissue of bone isodensity
To the imaging of soft tissue resolution ratio with higher.Therefore, in conjunction with the two or three's image, available one new, information
In more detail, clearer image is shown.
Image segmentation module 20 obtains the corresponding two dimension point in target area for choosing target area in blending image
Cut data.The target area refers to area-of-interest, such as the subject area of medical diagnosis, such as head, chest, waist.
Data modification module 30, for being modified by image processing tool to two dimension segmentation data.At figure
Science and engineering tool is modified to data are rebuild, and obtains accurately rebuilding position.Preferably, described image handling implement is paintbrush work
Tool.Modification may include addition area-of-interest and erasing overdivided region etc..
Three-dimensional reconstruction module 40 generates corresponding three-dimensional for modified two dimension segmentation data to be carried out three-dimensional reconstruction
Image.
The present invention carries out three-dimensional reconstruction after merging colorful number personal data with CT data, MRI data, passes through colorful number
Accurately details is shown people, and the area-of-interest that do not divide accurately is repaired using image processing tools such as paintbrush tools, is finally obtained
Obtain accurate three-dimensional reconstruction data.
Fig. 2 is that the present invention is based on Digital Humans and the signal of the preferred structure of CT and/or the MRI image three-dimensional reconstruction system merged
Figure, the three-dimensional reconstruction system 100 includes image co-registration module 10, image segmentation module 20, data modification module 30 and three
Dimension rebuilds module 40, in which:
Described image Fusion Module 10, for merging Digital Human image with CT image and/or MRI image to generate
Corresponding blending image.Preferably, described image Fusion Module 10 further comprises:
First imports submodule 11, for importing CT image and/or MRI image.
Second imports submodule 12, for importing registered colorful number people's image.
Image co-registration submodule 13 realizes Digital Human image and CT for passing through the channel alpha and the opacity of image
The fusion of image and/or MRI image CT image, generates corresponding blending image.
Described image divides module 20, for choosing target area in blending image, obtains target area corresponding two
Dimension segmentation data.Preferably, described image segmentation module 20 further comprises:
Object selection submodule 21, for choosing at least one target point in blending image.
Area generation submodule 22, for generating corresponding target area according to target point, obtaining by algorithm of region growing
To the corresponding preliminary two dimension segmentation data in target area.Certainly, paintbrush tool also can be used directly and manually smears out cut zone,
The two dimension segmentation data needed.
The data modification module 30, for being modified by image processing tool to two dimension segmentation data.Preferably
It is that in two dimension segmentation data, situation is shown based on color data people, is modified using paintbrush tool to segmentation data.It repairs
Change and is divided into addition area-of-interest and erasing overdivided region.It is preferred that the data modification module 30 further comprises:
Submodule 31 is added in region, for adjusting image layer, according to the display of colorful number people, fills work using paintbrush
Tool adds area-of-interest in two dimension segmentation data.
Submodule 32 is wiped in region, for adjusting image layer, according to the display of colorful number people, wipes work using paintbrush
Tool wipes overdivided region in two dimension segmentation data.
The three-dimensional reconstruction module 40, for dividing number to modified two dimension by iso-surface patch algorithm or volume rendering algorithm
According to three-dimensional reconstruction is carried out, corresponding 3-D image is generated.Preferably, number is divided to two dimension using marching cube algorithm
According to being rebuild.
It can be because its imaging is not good enough to certain tissue display and digital personal data although the present invention is individually rebuild for CT, MR data
High resolution real colour, but the segmentation to color databases cannot be realized by threshold method, thus can not be using such as
Marching Cubes algorithm the problem of realizing reconstruction, proposes a kind of three merged based on colorful number people with CT, MRI image
Method for reconstructing is tieed up, improves and rebuilds effect and efficiency.
Flow chart of the Fig. 3 based on Digital Human with CT and/or the MRI image three-dimensional rebuilding method merged, can pass through such as Fig. 1
Or three-dimensional reconstruction system 100 shown in Fig. 2 realizes that the three-dimensional rebuilding method includes:
Step S301, image co-registration step.Digital Human image is merged with CT image and/or MRI image to generate
Corresponding blending image.The practical present invention includes three kinds of technical solutions: the first, by Digital Human image and CT image both images
It is merged to generate corresponding blending image.The second, by Digital Human image, both images are merged with life with MRI image
At corresponding blending image.Third merges Digital Human image, CT image and MRI image these three images to generate pair
The blending image answered.Digital personal data can provide more detailed organization of human body information, and CT is to the higher tissue energy of bone isodensity
The image of high-resolution is provided, MRI image is to the imaging of soft tissue resolution ratio with higher.Therefore, scheme in conjunction with the two or three
Picture, available one it is new, information is more detailed, the clearer image of display.
Step S302, image segmentation step.Target area is chosen in blending image, obtains the corresponding two dimension in target area
Divide data.The target area refers to area-of-interest, such as the subject area of medical diagnosis, such as head, chest, waist
Deng.
Step S303, data modification step.It is modified by image processing tool to two dimension segmentation data.Utilize figure
Handling implement is modified to data are rebuild, and obtains accurately rebuilding position.Preferably, described image handling implement is paintbrush
Tool.Modification may include addition area-of-interest and erasing overdivided region etc..
Step S304, three-dimensional reconstruction step.Modified two dimension segmentation data are subjected to three-dimensional reconstruction, generate corresponding three
Tie up image.
Preferred flow charts of the Fig. 4 based on Digital Human with CT and/or the MRI image three-dimensional rebuilding method merged, can pass through
Three-dimensional reconstruction system 100 as shown in Figure 2 realizes that the three-dimensional rebuilding method includes:
Step S401 imports CT image and/or MRI image.
Step S402 imports registered Digital Human image.
Step S403 realizes Digital Human image and CT image and/or MRI by the channel alpha of image and opacity
The fusion of image CT image, generates corresponding blending image.
The practical present invention includes three kinds of technical solutions: the first, melting Digital Human image and CT image both images
It closes to generate corresponding blending image.The second, Digital Human image is merged with MRI image both images corresponding to generate
Blending image.Third merges Digital Human image, CT image and MRI image these three images to generate corresponding melt
Close image.
Step S404 chooses at least one target point in blending image.
Step S405 generates corresponding target area according to target point, obtains target area pair by algorithm of region growing
The two dimension segmentation data answered.Certainly, paintbrush tool also can be used directly and manually smears out cut zone, the two dimension needed point
Cut data.
Step S406 modifies to two dimension segmentation data by image processing tool.
Preferably, in two dimension segmentation data, situation is shown based on color data people, using paintbrush tool to segmentation number
According to modifying.Modification is divided into addition area-of-interest and erasing overdivided region.
It is preferred that this step further comprises:
Image layer is adjusted, is added in two dimension segmentation data according to the display of colorful number people using paintbrush fill tool
Area-of-interest.
Image layer is adjusted, according to the display of colorful number people, wipes tool using paintbrush, is wiped in two dimension segmentation data
Overdivided region.
Step S407 carries out Three-dimensional Gravity to modified two dimension segmentation data by iso-surface patch algorithm or volume rendering algorithm
It builds, generates corresponding 3-D image.
Preferably, two dimension segmentation data are rebuild using marching cube algorithm.
Fig. 5 A~Fig. 5 H is the three-dimensional reconstruction instance graph of the brain stem image co-registration of Digital Human and CT of the present invention.Such as Fig. 5 A institute
Show, imports CT data into system.As shown in Figure 5 B, importing digital personal data is into system.As shown in Figure 5 C, CT data and number
The fusion display of word personal data.As shown in Figure 5 D, in CT image brain stem parts show it is unclear.As shown in fig. 5e, CT data and number
Each brain tissue structure is clearly shown in the fused data of personal data.As illustrated in figure 5f, it using algorithm of region growing, obtains preliminary
Cut zone also can be used directly paintbrush tool and manually smear out cut zone.As depicted in fig. 5g, each layer of segmentation number is checked
According to being repaired using paintbrush tool to primary segmentation region.As illustrated in fig. 5h, using marching cube algorithm to segmentation
Data are rebuild, and 3 d image data is obtained, and the information of the 3-D image is more detailed, display is apparent.
In conclusion the present invention first merges Digital Human image with CT image and/or MRI image；And it is merging
Target area is chosen in image, obtains corresponding two dimension segmentation data；Two dimension segmentation data are carried out by image processing tool
Area-of-interest and erasing overdivided region are such as added in modification；Modified two dimension segmentation data are finally subjected to three-dimensional reconstruction.
Whereby, the present invention can merge Digital Human image with CT image and/or MRI image, make full use of the excellent of various medical images
Gesture, thus obtain information in more detail, the clearer 3 d medical images of display.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
It knows those skilled in the art and makes various corresponding changes and modifications, but these corresponding changes and change in accordance with the present invention
Shape all should fall within the scope of protection of the appended claims of the present invention.
Claims (10)
1. a kind of three-dimensional rebuilding method merged based on Digital Human with CT and/or MRI image, which is characterized in that the Three-dimensional Gravity
Construction method includes:
Image co-registration step merges Digital Human image to generate corresponding fusion figure with CT image and/or MRI image
Picture；
Image segmentation step chooses target area in the blending image, obtains the corresponding two dimension segmentation in the target area
Data；
Data modification step modifies to the two dimension segmentation data by image processing tool；
The modified two dimension segmentation data are carried out three-dimensional reconstruction, generate corresponding 3-D image by three-dimensional reconstruction step.
2. the three-dimensional rebuilding method according to claim 1 merged based on Digital Human with CT and/or MRI image, feature
It is, described image fusion steps further comprise:
Import the CT image and/or the MRI image；
Import the registered Digital Human image；
By the channel alpha of image and opacity, the Digital Human image and the CT image and/or the MRI are realized
The fusion of CT image described in image generates the corresponding blending image.
3. the three-dimensional rebuilding method according to claim 1 merged based on Digital Human with CT and/or MRI image, feature
It is, described image segmentation step further comprises:
At least one target point is chosen in the blending image；
By algorithm of region growing, the corresponding target area is generated according to the target point, obtains the target area pair
The two dimension segmentation data answered.
4. the three-dimensional rebuilding method according to claim 1 merged based on Digital Human with CT and/or MRI image, feature
It is, the data modification step further comprises:
Image layer is adjusted, is added in the two dimension segmentation data according to the display of colorful number people using paintbrush fill tool
Area-of-interest；
Image layer is adjusted, according to the display of colorful number people, wipes tool using paintbrush, is wiped in the two dimension segmentation data
Overdivided region.
5. the three-dimensional rebuilding method according to claim 1 merged based on Digital Human with CT and/or MRI image, feature
It is, the three-dimensional reconstruction step further comprises:
Three-dimensional reconstruction is carried out to the modified two dimension segmentation data by iso-surface patch algorithm or volume rendering algorithm, generates and corresponds to
The 3-D image.
6. a kind of three-dimensional reconstruction system merged based on Digital Human with CT and/or MRI image, which is characterized in that the Three-dimensional Gravity
The system of building includes:
Image co-registration module, for merging Digital Human image with CT image and/or MRI image to generate corresponding fusion
Image；
Image segmentation module obtains the corresponding two dimension in the target area for choosing target area in the blending image
Divide data；
Data modification module, for being modified by image processing tool to the two dimension segmentation data；
Three-dimensional reconstruction module generates corresponding three-dimensional figure for the modified two dimension segmentation data to be carried out three-dimensional reconstruction
Picture.
7. the three-dimensional reconstruction system according to claim 6 merged based on Digital Human with CT and/or MRI image, feature
It is, described image Fusion Module further comprises:
First imports submodule, for importing the CT image and/or the MRI image；
Second imports submodule, for importing the registered Digital Human image；
Image co-registration submodule, for by the channel alpha of image and opacity, realize the Digital Human image with it is described
The fusion of CT image described in CT image and/or the MRI image generates the corresponding blending image.
8. the three-dimensional reconstruction system according to claim 6 merged based on Digital Human with CT and/or MRI image, feature
It is, described image segmentation module further comprises:
Object selection submodule, for choosing at least one target point in the blending image；
Area generation submodule, for generating the corresponding target area according to the target point by algorithm of region growing,
Obtain the corresponding two dimension segmentation data in the target area.
9. the three-dimensional reconstruction system according to claim 6 merged based on Digital Human with CT and/or MRI image, feature
It is, the data modification module further comprises:
Submodule is added in region, for adjusting image layer, according to the display of colorful number people, using paintbrush fill tool, in institute
It states and adds area-of-interest in two dimension segmentation data；
Submodule is wiped in region, for adjusting image layer, according to the display of colorful number people, tool is wiped using paintbrush, in institute
It states and wipes overdivided region in two dimension segmentation data.
10. the three-dimensional reconstruction system according to claim 6 merged based on Digital Human with CT and/or MRI image, feature
It is, the three-dimensional reconstruction module is used for through iso-surface patch algorithm or volume rendering algorithm to the modified two dimension segmentation data
Three-dimensional reconstruction is carried out, the corresponding 3-D image is generated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910040655.4A CN109949404A (en) | 2019-01-16 | 2019-01-16 | Based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910040655.4A CN109949404A (en) | 2019-01-16 | 2019-01-16 | Based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109949404A true CN109949404A (en) | 2019-06-28 |
Family
ID=67007236
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910040655.4A Withdrawn CN109949404A (en) | 2019-01-16 | 2019-01-16 | Based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109949404A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610481A (en) * | 2019-08-06 | 2019-12-24 | 深圳市旭东数字医学影像技术有限公司 | Automatic brain stem segmentation method and system based on medical image |
| CN112164019A (en) * | 2020-10-12 | 2021-01-01 | 珠海市人民医院 | CT and MR scanning image fusion method |
| CN112190329A (en) * | 2020-10-23 | 2021-01-08 | 上海交通大学医学院附属第九人民医院 | Method for three-dimensionally reconstructing temporomandibular joint |
| CN113450294A (en) * | 2021-06-07 | 2021-09-28 | 刘星宇 | Multi-modal medical image registration and fusion method and device and electronic equipment |
| CN114974518A (en) * | 2022-04-15 | 2022-08-30 | 浙江大学 | Multi-mode data fusion lung nodule image recognition method and device |
| CN116797726A (en) * | 2023-05-20 | 2023-09-22 | 北京大学 | Organ three-dimensional reconstruction method, device, electronic equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108451508A (en) * | 2018-04-28 | 2018-08-28 | 中国科学院自动化研究所 | Archebiosis fluorescent three-dimensional imaging method based on multi-layer perception (MLP) |
| US20180264281A1 (en) * | 2017-03-20 | 2018-09-20 | Electronics And Telecommunications Research Institute | Microwave output method for thermotherapy and apparatus for performing the same |
-
2019
- 2019-01-16 CN CN201910040655.4A patent/CN109949404A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180264281A1 (en) * | 2017-03-20 | 2018-09-20 | Electronics And Telecommunications Research Institute | Microwave output method for thermotherapy and apparatus for performing the same |
| CN108451508A (en) * | 2018-04-28 | 2018-08-28 | 中国科学院自动化研究所 | Archebiosis fluorescent three-dimensional imaging method based on multi-layer perception (MLP) |
Non-Patent Citations (1)
| Title |
|---|
| 邱学军等: "《数字化虚拟中国人体多模式三维影像融合研究》", 《高技术通讯》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610481A (en) * | 2019-08-06 | 2019-12-24 | 深圳市旭东数字医学影像技术有限公司 | Automatic brain stem segmentation method and system based on medical image |
| CN112164019A (en) * | 2020-10-12 | 2021-01-01 | 珠海市人民医院 | CT and MR scanning image fusion method |
| CN112190329A (en) * | 2020-10-23 | 2021-01-08 | 上海交通大学医学院附属第九人民医院 | Method for three-dimensionally reconstructing temporomandibular joint |
| CN112190329B (en) * | 2020-10-23 | 2021-11-23 | 上海交通大学医学院附属第九人民医院 | Method for three-dimensionally reconstructing temporomandibular joint |
| CN113450294A (en) * | 2021-06-07 | 2021-09-28 | 刘星宇 | Multi-modal medical image registration and fusion method and device and electronic equipment |
| CN114974518A (en) * | 2022-04-15 | 2022-08-30 | 浙江大学 | Multi-mode data fusion lung nodule image recognition method and device |
| CN116797726A (en) * | 2023-05-20 | 2023-09-22 | 北京大学 | Organ three-dimensional reconstruction method, device, electronic equipment and storage medium |
| CN116797726B (en) * | 2023-05-20 | 2024-05-07 | 北京大学 | Organ three-dimensional reconstruction method, device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109949404A (en) | Based on Digital Human and CT and/or the MRI image three-dimensional rebuilding method merged and system | |
| Mankovich et al. | Surgical planning using three-dimensional imaging and computer modeling | |
| CN106981098B (en) | View-angle representation of virtual scene components | |
| Ayoub et al. | Towards building a photo-realistic virtual human face for craniomaxillofacial diagnosis and treatment planning | |
| EP1719078B1 (en) | Device and process for multimodal registration of images | |
| JP4421016B2 (en) | Medical image processing device | |
| US20050015003A1 (en) | Method and device for determining a three-dimensional form of a body from two-dimensional projection images | |
| Schubert et al. | Three-dimensional computed display of otosurgical operation sites by spiral CT | |
| Reisser et al. | Anatomy of the temporal bone: detailed three-dimensional display based on image data from high-resolution helical CT: a preliminary report | |
| US8004524B2 (en) | Method for displaying 3D structures in 2D projection images | |
| US20160287339A1 (en) | Method for manufacturing a three-dimensional anatomical structure | |
| CN103854270A (en) | CT and MR inter-machine three dimensional image fusion registration method and system | |
| JP2007275595A (en) | View creating method for reproducing tomographic image data | |
| CN114881848A (en) | Method for converting multi-sequence MR into CT | |
| Weiss et al. | Layer-Aware iOCT Volume Rendering for Retinal Surgery. | |
| US20100082147A1 (en) | Method for the manufacturing of a reproduction of an encapsulated head of a foetus and objects obtained by the method | |
| CN108573532A (en) | A kind of methods of exhibiting and device, computer storage media of mixed model | |
| CN115300809A (en) | Image processing method and device, computer equipment and storage medium | |
| Hill et al. | Visualization of multimodal images for the planning of skull base surgery | |
| JPH0728976A (en) | Picture display device | |
| CN112950774A (en) | Three-dimensional modeling device, operation planning system and teaching system | |
| CN109872351A (en) | A kind of medical figure registration and three-dimensional reconstruction system and method | |
| Aichert et al. | The colored x-rays | |
| WO2015037978A1 (en) | An anatomical model | |
| CN108464862A (en) | A kind of endoscope guiding operation navigation display method and device |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190628 |