CN113313817A - Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application - Google Patents
Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application Download PDFInfo
- Publication number
- CN113313817A CN113313817A CN202110602179.8A CN202110602179A CN113313817A CN 113313817 A CN113313817 A CN 113313817A CN 202110602179 A CN202110602179 A CN 202110602179A CN 113313817 A CN113313817 A CN 113313817A
- Authority
- CN
- China
- Prior art keywords
- area
- frame image
- mct
- fiber bundle
- leather
- 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.)
- Granted
Links
- 239000000835 fiber Substances 0.000 title claims abstract description 130
- 238000000034 method Methods 0.000 title claims abstract description 71
- 239000010985 leather Substances 0.000 title claims abstract description 67
- 238000011065 in-situ storage Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 5
- 238000009941 weaving Methods 0.000 description 5
- 230000011218 segmentation Effects 0.000 description 4
- 238000003325 tomography Methods 0.000 description 4
- 102000008186 Collagen Human genes 0.000 description 3
- 108010035532 Collagen Proteins 0.000 description 3
- 230000002457 bidirectional effect Effects 0.000 description 3
- 229920001436 collagen Polymers 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 241000502561 Acacia irrorata Species 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000010603 microCT Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 239000011347 resin Substances 0.000 description 1
- 229920005989 resin Polymers 0.000 description 1
- 238000002791 soaking Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G06T5/70—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
- G06T2207/10012—Stereo images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30124—Fabrics; Textile; Paper
Abstract
A three-dimensional reconstruction method of leather fiber bundles based on MCT slice images selects a fiber bundle area as a seed area in one frame image of the MCT slice images of leather fibers, and adopts a forward tracking method and a reverse tracking method to track the extension of the fiber bundles in different longitudinal cross section areas of the same fiber bundle with the selected seed area, so as to finally obtain the cross section areas belonging to the same fiber bundle. The method adopts a forward tracking method and a reverse tracking method to track the cross section areas belonging to the same fiber bundle, and finally obtains the fiber areas belonging to the same fiber bundle for reconstructing the three-dimensional tissue form of the leather fiber bundle.
Description
Technical Field
The invention discloses a three-dimensional reconstruction method of leather fiber bundles based on an MCT slice image and application thereof, belonging to the technical field of leather image reconstruction.
Background
The woven structure of leather fibers has been a concern in the industry. So far, leather fiber woven structures have been recognized. The research on the weaving structure of the leather fiber has important theoretical value and application value.
Researchers respectively adopt a CT technology and a metallographic method to obtain sequence section images of the leather fibers, and perform image processing and analysis such as denoising, registration and segmentation on the obtained images to obtain three-dimensional reconstruction of the leather fiber bundles and some geometric morphology research results about the leather fiber bundles.
The authors Zhang Hua Yong in 2015, 12 months and 16 days, disclose "research on three-dimensional reconstruction of leather fiber woven network", respectively adopt micro-CT and metallographic methods to obtain sequential slice images of leather fibers, and by using three-dimensional image reconstruction techniques in the fields of biology, medicine, materials and the like, establish a three-dimensional digital model of a collagen fiber woven structure in chrome tanned cow leather, and perform three-dimensional reconstruction on the obtained sequential slice images of the leather fibers by means of 3D-vector software, thereby laying a key foundation for research on correlation between leather structure and performance. And further researching the morphology, the weaving mode, the bending angle and other rules of the collagen fiber bundle through a three-dimensional digital model, and finding that the collagen fiber bundle has a fractal rule. The fractal dimension of the surface of the fiber bundle in the reconstructed body is calculated by comparing and researching a fractal dimension calculation method, preferably calculating the fractal dimension of the section of the leather fiber bundle by an island method, and calculating the fractal dimension of the surface of the fiber bundle in the reconstructed body by using the perimeter and the area data of the section of the fiber bundle in the sequence image and by using the surface area and the volume data of the fiber bundle in the three-dimensional digital model and the spatial region relation formed by the fractal curved surface and the fractal curved surface.
The authors of the present invention, named as "three-dimensional reconstruction research of chrome-tanned sheepskin fiber network" disclosed in 2017, 5, 20, which states that a sequence section image of a chrome-tanned sheepskin is obtained by a metallographic method according to the special structural characteristics of a chrome-tanned sheepskin blank (chrome-tanned sheepskin for short, the same below), so that a three-dimensional digital model of the chrome-tanned sheepskin fiber network is constructed, and a foundation is laid for preliminarily researching the relationship between the structure and the performance of the chrome-tanned sheepskin. The literature clearly states that proper image preprocessing software is selected to carry out denoising, enhancing and other processing on the obtained sequence image; the registration of the sequence two-dimensional images is realized through self-developed registration software; and 3D-vector software is used for carrying out three-dimensional reconstruction on the leather fiber bundle. By marking each individual fiber bundle with a different color and numbering, a separate display of the fiber bundles individually or as a whole is achieved.
However, one of the obvious disadvantages of the three-dimensional reconstruction of leather fiber bundles based on the metallographic method is that the leather sample for obtaining the image needs to be subjected to a resin solution soaking and curing process, and the process can cause deformation of the leather fibers, thereby affecting the three-dimensional reconstruction effect. Another drawback of the metallographic method is that the sequence of cross-sectional images obtained by the metallographic method have large intervals (i.e., layer thicknesses), a small number of images, and poor continuity. Image registration of the sequence images thus acquired is also a difficult task, sometimes relatively labor intensive, and currently there is no satisfactory solution.
The 3D-vector Software is an image processing Software developed by Able Software corporation in the United states and used for three-dimensional reconstruction of series sectional images of types such as MRI, CT, PET and the like, and is widely accepted and used. But the three-dimensional reconstruction process of the 3D-vector is established on the basis of pre-segmentation and labeling. For some tissue structures with easier segmentation and labeling, the three-dimensional reconstruction effect of the 3D-vector is good, but for some tissue structures with more difficult segmentation and labeling, the 3D-vector is useless. Because the difficulty in distinguishing different fiber bundles of the leather is high, the fiber bundles are firstly marked before the three-dimensional reconstruction is carried out by adopting the 3D-vector, the section areas belonging to the same fiber bundle are marked as the same mark, and the work is usually completed manually. Therefore, the three-dimensional reconstruction of a single fiber bundle of leather fibers using 3D-Doctor is inefficient. Aiming at the three-dimensional reconstruction based on the leather fiber sequence sectional image, the rapid and effective algorithm design is extremely important.
Images acquired by a metallographic method can display finer parts, but the number of the images is small, and the difficulty and the workload of image preprocessing are high. And a microscopic X-ray tomography (MCT) technique can acquire a slice image of the internal structure of the sample without destroying the sample, which image can display a fiber woven structure having a size of several tens to several hundreds of micrometers. The MCT slice image of the leather fiber can be used for three-dimensional reconstruction of the leather fiber, so that the weaving structure and the weaving rule of the leather fiber can be displayed. The three-dimensional reconstruction algorithm and the three-dimensional reconstruction technology based on the leather fiber MCT sequence image have important application value for researching the leather fiber weaving structure.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a three-dimensional reconstruction method of a leather fiber bundle based on an MCT slice image and application thereof, namely, a forward tracking method and a reverse tracking method are adopted to track the cross-section area belonging to the same fiber bundle, and finally, the fiber area belonging to the same fiber bundle is obtained and is used for reconstructing the three-dimensional tissue form of the leather fiber bundle.
Detailed technical scheme of the invention
A three-dimensional reconstruction method of leather fiber bundles based on MCT slice images is characterized by comprising the following steps: selecting a fiber bundle area as a seed area in one frame image in an MCT slice image of leather fibers; tracking the extension of the fiber bundles in different longitudinal cross section areas of the same fiber bundle with the selected seed area by adopting a forward tracking method and a reverse tracking method to finally obtain the cross section area of the same fiber bundle, wherein the fiber bundle reconstructed from the same root area is called as the same root fiber bundle;
the forward tracing method comprises the following steps:
1) selecting a seed area in the first frame image, namely a root area, and searching an area in the second frame image, which has a common part with the seed area of the previous frame image, according to the forward sequence:
if the second frame image has an area which has a public part with the seed area of the previous frame image, the area is divided and used as the seed area of the second frame image, and the area is also the area which has the same root with the root area of the previous frame image; otherwise, the forward tracking process is ended;
2) searching the same root area in the next frame image by taking the same root area in the second frame image as a new seed area;
3) so on until there is no new sibling region;
the reverse tracing method comprises the following steps:
1) using the fiber bundle area of the last frame image obtained by the forward tracking method as a seed area, searching an area which has a common part with the seed area of the previous frame image in the adjacent second frame image according to a reverse sequence, dividing the area from the original image, combining the area with the area of the same frame image obtained by the forward tracking method to be used as the seed area of the second frame image, wherein the area is inevitably the area with the same root as the root area in the first frame image selected by the forward tracking method;
2) searching the same root area in the next frame image in a reverse order by taking the obtained seed area of the second frame image as a new seed area;
3) this is done until the first frame image specified by the forward tracking method is completed.
The forward tracking algorithm will discard some backward branches of the fiber bundle, and the backward tracking algorithm can search for some backward branches with the same root, such as the backward branches of the fiber bundle represented by the dotted line in fig. 1, which contains some untracked fiber bundles. To trace such a fiber bundle, the backward tracing can be performed after the forward tracing process is completed to trace such a branch, as shown by the solid line portion more than that shown in fig. 1 in fig. 2.
According to the invention, the three-dimensional reconstruction method of the leather fiber bundle based on the MCT slice image further comprises alternately carrying out forward tracking and backward tracking on the MCT slice image of the leather fiber for multiple times until a new fiber bundle section area cannot be tracked. The algorithm is to perform forward tracking and then perform backward tracking by taking the fiber bundle region of the first frame cross-sectional image segmented by the above process as a seed region. This alternately performs forward and backward tracking of the MCT slice image of the leather fibers multiple times until no new fiber bundle cross-sectional area can be tracked. As shown in fig. 3 and 4.
Preferably, the MCT slice image of the leather fiber is the denoised MCT slice image of the leather fiber.
The method disclosed by the invention is suitable for three-dimensional reconstruction of leather fiber in-situ MCT slice images and leather fiber embedded MCT slice images.
The invention has the technical advantages that:
1. according to the three-dimensional reconstruction method of the leather fiber bundle based on the MCT slice image, the same root area of a certain fiber bundle in the MCT slice image of the leather fiber is tracked in the forward direction of a frame image, so that the organization structure of the three-dimensional bundle of the leather fiber can be rapidly reconstructed, and the three-dimensional form of the leather fiber bundle is shown.
2. Because the forward tracking algorithm can lose some backward branches of the fiber bundle, the invention introduces a reverse tracking method on the basis of forward tracking to reversely track the same root region of the frame-based image.
3. The combination of forward and backward tracking is called two-way tracking. And repeatedly executing a bidirectional tracking algorithm on the MCT slice image of the leather fiber to be reconstructed until no new same root area appears, so that the three-dimensional form of the leather fiber is more complete, clear and accurate.
Drawings
FIGS. 1-4 are schematic diagrams of forward and backward tracking of a co-rooted area;
fig. 1 is a schematic diagram of the co-root region obtained by the first forward tracing from the root region, wherein the solid line part is the co-root fiber bundle obtained by the first forward tracing, the dotted line part is the co-root fiber bundle region which cannot be traced by the first forward tracing, and the arrow to the right is a forward tracing indication arrow;
fig. 2 is a schematic diagram of the same-root region obtained by performing reverse tracking after the first forward tracking, wherein the solid line part is the same-root fiber bundle tracked after the first forward tracking and the first reverse tracking, the dotted line part is the same-root fiber bundle region not yet tracked after the first forward tracking and the first reverse tracking, the arrow to the right is a forward tracking indication arrow, and the arrow to the left is a reverse tracking indication arrow;
fig. 3 is a schematic diagram of the same root region obtained by performing forward tracing again, wherein the solid line part is a fiber bundle of the same root region, the dotted line part is a fiber bundle region which is not yet traced, the arrow to the right is a forward tracing indication arrow, and the arrow to the left is a reverse tracing indication arrow;
fig. 4 is a schematic diagram of the same-root region obtained by performing the backward tracing again, wherein the solid line part is the same-root fiber bundle, the dotted line part is the same-root fiber bundle region that has not yet been traced, the arrow to the right is a forward tracing indication arrow, and the arrow to the left is a backward tracing indication arrow;
figures 5 and 6 are several leather fiber bundles reconstructed using leather fiber in-situ MCT slice images obtained after forward and reverse tracking according to the present invention.
Detailed Description
The invention is described in detail below with reference to the following examples and the accompanying drawings of the specification, but is not limited thereto.
Example 1
A three-dimensional reconstruction method of leather fiber bundles based on MCT slice images selects a fiber bundle area as a seed area in one frame image in the MCT slice images of leather fibers;
and tracking the extension of the fiber bundles in different longitudinal cross section areas belonging to the same fiber bundle by adopting a forward tracking method, and finally obtaining the cross section areas belonging to the same fiber bundle.
The forward tracking method includes:
1) selecting a seed area in the first frame image, namely a root area, and searching an area in the second frame image, which has a common part with the seed area of the previous frame image, according to the forward sequence:
if the second frame image has an area which has a public part with the seed area of the previous frame image, the area is divided and used as the seed area of the second frame image, and the area is also the same root area with the root area of the previous frame image; otherwise, the forward tracking process is ended;
2) searching the same root area in the next frame image by taking the same root area in the second frame image as a new seed area;
3) this is done until there is no new sibling region, as shown in FIG. 1.
And then tracking the extension of the fiber bundles in different longitudinal cross section areas belonging to the same fiber bundle by adopting a reverse tracking method, and finally obtaining a fiber three-dimensional area belonging to the same fiber bundle, wherein the method specifically comprises the following steps:
1) using the fiber bundle area of the last frame image obtained by the forward tracking method as a seed area, searching an area which has a common part with the seed area of the previous frame image in the adjacent second frame image according to a reverse sequence, dividing the area from the original image, combining the area with the area of the same frame image obtained by the forward tracking method to be used as the seed area of the second frame image, wherein the area is inevitably the area with the same root as the root area in the first frame image selected by the forward tracking method;
2) searching the same root area in the next frame image in a reverse order by taking the obtained seed area of the second frame image as a new seed area;
3) so on until the first frame image specified by the forward tracking method is finished; as shown in fig. 2.
Example 2
The method for three-dimensional reconstruction of leather fiber bundle based on MCT slice image as described in embodiment 1, further comprising alternately performing forward tracking and backward tracking on the MCT slice image of leather fiber for a plurality of times until a new fiber bundle section area cannot be tracked. As shown in fig. 3 and 4. The combination of forward and backward tracking is called two-way tracking. In this process, the new sibling region for each frame of image must contain the sibling region obtained from the forward trace search process. The two-way tracking algorithm is repeated until no new co-root region appears.
Application example 1
The image acquisition and processing was performed using the method described in example 1 with the following steps:
1) skin-like material: a small tuft of fibrous tissue stripped from the dry blue skin of the cow rump in the united states;
2) MCT image-taking equipment:
MCT tomography: SkyScan 2211; a camera lens: MX 11002;
3) MCT tomography image parameters:
resolution ratio: 150 nm; pixel: 4032 × 4032; layer thickness: 0.31 μm; frame number: 2357, a step of mixing the raw materials;
denoising the acquired 2357 frames of MCT slice images (the MCT slice images of the leather fibers are denoised), and performing three-dimensional reconstruction on part of fiber bundles in the MCT slice images of the leather fibers by applying a bidirectional tracking algorithm, as shown in FIG. 5.
Application example 2
The method described in example 2 was used to perform image acquisition and processing as follows:
1) skin-like material: dried ox head blue skin;
2) MCT image capturing equipment
MCT tomography: SkyScan 2211; a camera lens: MX 11002;
3) MCT tomographic image features
Pixel: 4032 × 4032; layer thickness: 0.31 μm; frame number: 1578;
denoising the obtained 1578 frame MCT slice image (the MCT slice image of the leather fiber is the denoised MCT slice image of the leather fiber), and performing three-dimensional reconstruction on part of the fiber bundles by applying a bidirectional tracking algorithm, as shown in FIG. 6.
Example 3
The methods described in examples 1 and 2 are also applicable to the three-dimensional reconstruction of leather fibre in situ MCT slice images and leather fibre embedded MCT slice images.
Claims (4)
1. A three-dimensional reconstruction method of leather fiber bundles based on MCT slice images is characterized by comprising the following steps: selecting a fiber bundle area in one frame image in an MCT slice image of leather fibers as a seed area, and tracking the extension of the fiber bundles in different longitudinal cross section areas of the same fiber bundle with the selected seed area by adopting a forward tracking method and a reverse tracking method to finally obtain the cross section areas of the same fiber bundle;
the forward tracing method comprises the following steps:
1) selecting a seed area in the first frame image, namely a root area, and searching an area in the second frame image, which has a common part with the seed area of the previous frame image, according to the forward sequence:
if the second frame image has an area which has a public part with the seed area of the previous frame image, the area is divided and used as the seed area of the second frame image, and the area is also the area which has the same root with the root area of the previous frame image; otherwise, the forward tracking process is ended;
2) searching the same root area in the next frame image by taking the same root area in the second frame image as a new seed area;
3) so on until there is no new sibling region;
the reverse tracing method comprises the following steps:
1) using the fiber bundle area of the last frame image obtained by the forward tracking method as a seed area, searching an area which has a common part with the seed area of the previous frame image in the adjacent second frame image in a reverse sequence, dividing the area from the original image, and combining the area with the area of the second frame image obtained by the forward tracking method to be used as the seed area of the second frame image, wherein the area is inevitably the area with the same root as the root area in the first frame image selected by the forward tracking method;
2) searching the same root area in the next frame image in a reverse order by taking the obtained seed area of the second frame image as a new seed area;
3) this is done until the first frame image specified by the forward tracking method is completed.
2. The method as claimed in claim 1, which comprises alternately performing forward tracking and backward tracking on the MCT slice image of leather fibers for a plurality of times until a new fiber bundle section area cannot be tracked.
3. The method as claimed in claim 1, wherein the MCT slice image of the leather fiber is denoised MCT slice image of the leather fiber.
4. Use of the method according to any of claims 1-3: the method is suitable for three-dimensional reconstruction of leather fiber in-situ MCT slice images and leather fiber embedded MCT slice images.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110602179.8A CN113313817B (en) | 2021-05-31 | 2021-05-31 | Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application |
PCT/CN2021/120000 WO2022252441A1 (en) | 2021-05-31 | 2021-09-23 | Mct section image-based three-dimensional reconstruction method for leather fiber bundle |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110602179.8A CN113313817B (en) | 2021-05-31 | 2021-05-31 | Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113313817A true CN113313817A (en) | 2021-08-27 |
CN113313817B CN113313817B (en) | 2022-10-11 |
Family
ID=77376655
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110602179.8A Active CN113313817B (en) | 2021-05-31 | 2021-05-31 | Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN113313817B (en) |
WO (1) | WO2022252441A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022252441A1 (en) * | 2021-05-31 | 2022-12-08 | 齐鲁工业大学 | Mct section image-based three-dimensional reconstruction method for leather fiber bundle |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106202728A (en) * | 2016-07-12 | 2016-12-07 | 哈尔滨工业大学 | Based on Micro CT D braided composites non-homogeneous Voxel grid discrete method |
CN109993773A (en) * | 2019-03-28 | 2019-07-09 | 北京科技大学 | A kind of Series of Plane Section image multi-target tracking method and device |
WO2020060196A1 (en) * | 2018-09-18 | 2020-03-26 | 서울대학교산학협력단 | Apparatus and method for reconstructing three-dimensional image |
CN110992439A (en) * | 2019-12-02 | 2020-04-10 | 上海联影智能医疗科技有限公司 | Fiber bundle tracking method, computer device and storage medium |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012156402A1 (en) * | 2011-05-16 | 2012-11-22 | Universite Libre De Bruxelles | Device for visualization and three-dimensional reconstruction in endoscopy |
CN102305736B (en) * | 2011-06-29 | 2012-11-21 | 山东轻工业学院 | Method for preparing leather sample observed by metallurgical microscope |
KR20150099375A (en) * | 2014-02-21 | 2015-08-31 | 삼성전자주식회사 | Computer tomography apparatus and method for reconstructing a computer tomography image thereof |
US10410429B2 (en) * | 2014-05-16 | 2019-09-10 | Here Global B.V. | Methods and apparatus for three-dimensional image reconstruction |
CN105741299B (en) * | 2016-02-02 | 2018-06-29 | 河北大学 | A kind of coronary artery CT angiographic image dividing methods |
CN106446360B (en) * | 2016-09-08 | 2019-07-09 | 天津大学 | Defects with skull scaffold for vascular tissue engineering parameterization design method based on Micro-CT scanning measurement |
CN106885811A (en) * | 2017-02-28 | 2017-06-23 | 海南瑞泽新型建材股份有限公司 | A kind of characterizing method of fiber reinforcement polymer bar and Bond Performance Between Concrete |
CN108898667B (en) * | 2018-06-22 | 2020-11-27 | 同济大学 | Carbon paper morphological parameter extraction method based on X-ray CT three-dimensional reconstruction |
CN113313817B (en) * | 2021-05-31 | 2022-10-11 | 齐鲁工业大学 | Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application |
-
2021
- 2021-05-31 CN CN202110602179.8A patent/CN113313817B/en active Active
- 2021-09-23 WO PCT/CN2021/120000 patent/WO2022252441A1/en unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106202728A (en) * | 2016-07-12 | 2016-12-07 | 哈尔滨工业大学 | Based on Micro CT D braided composites non-homogeneous Voxel grid discrete method |
WO2020060196A1 (en) * | 2018-09-18 | 2020-03-26 | 서울대학교산학협력단 | Apparatus and method for reconstructing three-dimensional image |
CN109993773A (en) * | 2019-03-28 | 2019-07-09 | 北京科技大学 | A kind of Series of Plane Section image multi-target tracking method and device |
CN110992439A (en) * | 2019-12-02 | 2020-04-10 | 上海联影智能医疗科技有限公司 | Fiber bundle tracking method, computer device and storage medium |
Non-Patent Citations (3)
Title |
---|
岳晴: "基于非局部约束球面反卷积模型的纤维追踪算法", 《波谱学杂志》 * |
张华勇: "皮革纤维编织网络三维重构研究", 《中国博士学位论文全文数据库 (工程科技Ⅰ辑)》 * |
肖镇龙: "基于显微光学断层成像技术研究AD小鼠神经元形态结构", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022252441A1 (en) * | 2021-05-31 | 2022-12-08 | 齐鲁工业大学 | Mct section image-based three-dimensional reconstruction method for leather fiber bundle |
Also Published As
Publication number | Publication date |
---|---|
CN113313817B (en) | 2022-10-11 |
WO2022252441A1 (en) | 2022-12-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3185215B1 (en) | Automated determination of contours on the basis of iterative reconstruction | |
TWI378402B (en) | Image preprocessing system for 3d image database construction | |
US8913061B2 (en) | Automatic tracing algorithm for quantitative analysis of continuous structures | |
CN110310287A (en) | It is neural network based to jeopardize the automatic delineation method of organ, equipment and storage medium | |
CN113313817B (en) | Three-dimensional reconstruction method of leather fiber bundle based on MCT slice image and application | |
CN110738701A (en) | tumor three-dimensional positioning system | |
CN101947103B (en) | Optical bioluminescence tomography method | |
DE102006033383A1 (en) | Method for determining a property map for an object, in particular for a living being, based on at least a first image, in particular nuclear magnetic resonance image | |
WO2009147605A1 (en) | Reconstruction of dynamical cardiac spect for measuring tracer uptake and redistribution | |
Wang et al. | Three-dimensional reconstruction of light microscopy image sections: present and future | |
KR20200119250A (en) | Automatic segmentation process of 3D medical images by several neural networks through structured convolution according to the geometric structure of 3D medical images | |
DE10254907B4 (en) | Process for surface contouring of a three-dimensional image | |
CN105678711B (en) | A kind of attenuation correction method based on image segmentation | |
Zhang et al. | A novel deep-learning–based approach for automatic reorientation of 3D cardiac SPECT images | |
CN111340780A (en) | Focus detection method based on three-dimensional ultrasonic image | |
Song et al. | Material twins generation of woven polymer composites based on ResL-U-Net convolutional neural networks | |
CN108022291B (en) | Visual three-dimensional reconstruction method for human body peripheral nerve bundle type structure | |
CN112515653B (en) | Brain network construction method based on nuclear magnetic resonance image | |
DE102020211945A1 (en) | Method and arrangement for the automatic localization of organ segments in a three-dimensional image | |
CN112734790B (en) | Tumor region labeling method, system, device and readable storage medium | |
CN113052840A (en) | Processing method based on low signal-to-noise ratio PET image | |
CN107610105B (en) | Method, device and equipment for positioning ROI and machine-readable storage medium | |
CN110599560A (en) | Magnetic resonance imaging method, magnetic resonance imaging device, storage medium and computer equipment | |
Mamatha | Detection of Brain Tumor in MR images using hybrid Fuzzy C-mean clustering with graph cut segmentation technique | |
CN109658463B (en) | Excitation fluorescence tomography method based on non-local total variation regularization |
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 |