CN107392902A - A kind of tumour crack analysis method - Google Patents
A kind of tumour crack analysis method Download PDFInfo
- Publication number
- CN107392902A CN107392902A CN201710607059.0A CN201710607059A CN107392902A CN 107392902 A CN107392902 A CN 107392902A CN 201710607059 A CN201710607059 A CN 201710607059A CN 107392902 A CN107392902 A CN 107392902A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msub
- tumour
- coordinate
- node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
-
- 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
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
-
- 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
- G06T2207/30004—Biomedical image processing
- G06T2207/30096—Tumor; Lesion
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The invention discloses a kind of tumour crack analysis method, comprise the following steps:A kind of tumour crack analysis method, comprises the following steps:1) data by CT imagings carry out 3D point cloud modeling, obtain tumour point cloud file;2) according to tumour point cloud file, a node P on the blood vessel or internal organs of tumour covering is chosen1(p1x,p1y,p1z);3) tumour any plane a definition coordinate m is chosen according to tumour point cloud file1(m1x,m1y,m1z), n1(n1x,n1y,n1z), q1(q1x,q1y,q1z).The present invention reaches the beeline of tumor surface by calculating intratumoral vasculature or internal organs; connect as sign line segment; the crack to be formed is grown with reference to the internal organs such as blood vessel are wrapped in Tumor Growth; so as to find the optimal path for entering intra-tumor important organ from knurl body surface face; reach complete or piecemeal tumor resection, and can protects the purpose of the internal organs such as important feature such as blood vessel in knurl body.
Description
Technical field
The present invention relates to analysis method, more particularly to a kind of tumour crack analysis method.
Background technology
Into ascendant trend, tumour easily wraps said structure growth, works as surgical procedure tumor incidence in growth course
Easily cause said structure to damage during middle separation tumour, serious consequence, or even life-threatening occur.Therefore how to improve surgical operation
The accurate operation of doctor, prevent operation is accidentally injured from performing the operation and ensureing that patient vitals are significant to successful implementation.It is clinical at present logical
Focus is simulated frequently with 3D printing to reach the purpose of preoperative analysis tumour and its neighbour structural relation, but 3D printing needs are special
Material, time-consuming, the drawback such as costly, printed product difficult degradation, is difficult to during clinical application by medical worker and patient
Receive, therefore be highly desirable to find a kind of new method to analyze tumor operation approach, help operative doctor to carry out focus accurate
Analysis, the purpose of guided operation.
Virtual Reality (Virtual Reality) is a kind of new technology to grow up in the eighties latter stage, and it is integrated
Computer graphics, image procossing and pattern-recognition, intellectual technology, sensing technology, Language Processing and sound technique, network skill
The multi-door subject such as art, computer disposal digital information is changed into the multidimensional with the various forms of expression that people can experience
Information, it has the characteristics that the property immersed, interactivity, imagination.At present, the technology is widely used to Aero-Space, and building is set
Many fields such as meter, education.Application of the VR technologies in terms of medical science gradually starts, but there is not yet using tumor operation art
The report of preceding assessment.
In the prior art, lack the tumor operation that a kind of applicability is higher and the degree of accuracy is higher to analyze into path method, to swollen
Knurl focus is emulated, and helps doctor precisely to analyze focus, guided operation.
Therefore those skilled in the art are directed to developing the tumor operation analysis that a kind of applicability is higher and the degree of accuracy is higher
Enter path method, tumor focus is emulated, help doctor precisely to analyze focus, guided operation.
The content of the invention
In view of the drawbacks described above of prior art, it is higher that the technical problems to be solved by the invention are to provide a kind of applicability
And the higher tumor operation of the degree of accuracy is analyzed into path method, is emulated to tumor focus, doctor is helped to carry out focus accurate
Analysis, guided operation.
To achieve the above object, the invention provides a kind of blood vessel coordinate points and tumor surface position analysis method, including
Following steps:
1) data by CT imagings carry out 3D point cloud modeling, obtain tumour point cloud file;
2) according to tumour point cloud file, a node P on the blood vessel or internal organs of tumour covering is chosen1(p1x,p1y,
p1z);
3) tumour any plane a definition coordinate m is chosen according to tumour point cloud file1(m1x,m1y,m1z), n1(n1x,n1y,
n1z), q1(q1x,q1y,q1z);
4) subpoint P of the node on the plane a is calculated respectively according to below equation11Coordinate:
Wherein, p1x, p1y, p1z, it is the node P1Coordinate, be known quantity;
q1x, q1y, q1z, n1x, n1y, n1z, m1x, m1y, m1zIt is known quantity;
α1, β1, γ1Respectively subpoint P11In former coordinate system x-axis, y-axis, the coordinate in z-axis;
5) according to below equation decision node P1(p1x,p1y,p1z) in plane a subpoints P11(p1x,p1y,p1z) whether flat
Face a definition coordinate m1(m1x,m1y,m1z), n1(n1x,n1y,n1z), q1(q1x,q1y,q1z) formed triangle Δ m1n1q1Within;
Wherein, q1x, q1y, q1z, n1x, n1y, n1z, m1x, m1y, m1zIt is known quantity;
U, v are judgement factor;Work as u<0 or v<0 or u+v>Subpoint P is may determine that when 111(p1x,p1y,p1z) three
Angular Δ m1n1q1Outside;
α1, β1, γ1Respectively subpoint P11In former coordinate system x-axis, y-axis, the coordinate in z-axis;
If not in Δ m1n1q1Within, give up subpoint P11(p1x,p1y,p1z);
If in Δ m1n1q1Within, keep in subpoint P11(α1,β1,γ1), and according to the following formula calculate node to throw
The distance of shadow point | P1,Δm1n1q1|;
Wherein, | P1,Δm1n1q1| it is node P1(p1x,p1y,p1z) arrive its subpoint P11(α1,β1,γ1) distance;
6) step 3) is returned to step 5), chooses another plane b of tumour, the coordinate for defining plane b is m2(m2x,m2y,
m2z), n2(n2x,n2y,n2z), q2(q2x,q2y,q2z) calculate node P1(p1x,p1y,p1z) projection point coordinates P on plane b12
(α2,β2,γ2), and judge subpoint P12(α2,β2,γ2) whether Δ m2n2q2Within;
7) according to step 1) to step 6), calculate node P1With the subpoint in other all faces of tumour in tumour point cloud file
The distance between set, L1=| P1,Δm1n1q1|,|P1,Δm2n2q2|……|P1,Δmnnnqn|};
8) L is chosen1The minimum value L of collection1min, L1min=min | P1,Δm1n1q1|,|P1,Δm2n2q2|……|P1,Δ
mnnnqn| and projection coordinate P1n(αn,βn,γn);
9) according to Lmin, P1n(αn,βn,γn) determine tumour crack position.
A kind of tumour crack analysis method is used according to above-mentioned blood vessel coordinate points and tumor surface position analysis method, used
The blood vessel coordinate points of claim 1 and tumor surface position analysis method, wherein in step 2), exist according to tumour point cloud file
Multiple point { P are taken on blood vessel or internal organs2……Pi, according to it is wherein described the step of 3) to step 9) calculate each point with
Beeline { the L of tumor surface2min……Limin, and corresponding projection point coordinates { P2n(α2x,β2y,γ2z)……Pin
(αix,βiy,γiz)}。。
Under normal circumstances, the selection of node is the sampling point set on blood vessel, and general ten nodes of selection are more conventional
Technical scheme, in actual treatment, additions and deletions, the curvature and section of blood vessel can be carried out to node number according to the actual conditions of blood vessel
Point number can be into positive correlation.
Preferably, the tumour crack analysis method, further comprising the steps of:
10) { the P by described in2……PiEach node projection coordinate { P2n(α2x,β2y,γ2z)……Pin(αix,βiy,
γiz)}.Join end to end, draw tumour crack path;
11) projection coordinate's point that each node is marked out in tumour point cloud file connects the path curve to be formed and each
Distance corresponding to individual node.
Preferably, the step 1) is completed to step 11) using computer.
Preferably, by the distance between tumour crack path curve and each node and corresponding subpoint letter
Breath input computer, carries out virtual image.
The beneficial effects of the invention are as follows:The present invention reaches the most short distance of tumor surface by calculating intratumoral vasculature or internal organs
From connecting turns into sign line segment, the crack to be formed is grown with reference to the internal organs such as blood vessel are wrapped in Tumor Growth, so as to look for
To the optimal path for entering intra-tumor important organ from knurl body surface face, reach complete or piecemeal tumor resection, and can protection knurl body
The purpose of the internal organs such as interior important feature such as blood vessel.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of blood vessel coordinate points of the present invention and tumor surface position analysis method.
Fig. 2 is the schematic flow sheet of tumour crack analysis method.
Fig. 3 is the exemplary plot according to Fig. 2 flow implementation output result.
Fig. 4 is Fig. 3 enlarged drawing.
Embodiment
The invention will be further described with reference to the accompanying drawings and examples:
As shown in Fig. 1 to accompanying drawing 3, a kind of blood vessel coordinate points and tumor surface position analysis method, comprise the following steps:
1) data by CT imagings carry out 3D point cloud modeling, obtain tumour point cloud file;
2) according to tumour point cloud file, a node P on the blood vessel or internal organs of tumour covering is chosen1(p1x,p1y,
p1z);
3) tumour any plane a definition coordinate m is chosen according to tumour point cloud file1(m1x,m1y,m1z), n1(n1x,n1y,
n1z), q1(q1x,q1y,q1z);
4) subpoint P of the calculate node on plane a is distinguished according to below equation11Coordinate:
Wherein, p1x, p1y, p1z, it is node P1Coordinate, be known quantity;
q1x, q1y, q1z, n1x, n1y, n1z, m1x, m1y, m1zIt is known quantity;
α1, β1, γ1Respectively subpoint P11In former coordinate system x-axis, y-axis, the coordinate in z-axis;
5) according to below equation decision node P1(p1x,p1y,p1z) in plane a subpoints P11(p1x,p1y,p1z) whether flat
Face a definition coordinate m1(m1x,m1y,m1z), n1(n1x,n1y,n1z), q1(q1x,q1y,q1z) formed triangle Δ m1n1q1Within;
Wherein, q1x, q1y, q1z, n1x, n1y, n1z, m1x, m1y, m1zIt is known quantity;
U, v are judgement factor;Work as u<0 or v<0 or u+v>Subpoint P is may determine that when 111(p1x,p1y,p1z) three
Angular Δ m1n1q1Outside;
α1, β1, γ1Respectively subpoint P11In former coordinate system x-axis, y-axis, the coordinate in z-axis;
If not in Δ m1n1q1Within, give up subpoint P11(p1x,p1y,p1z);
If in Δ m1n1q1Within, keep in subpoint P11(α1,β1,γ1), and according to the following formula calculate node to throw
The distance of shadow point | P1,Δm1n1q1|;
Wherein, | P1,Δm1n1q1| it is node P1(p1x,p1y,p1z) arrive its subpoint P11(α1,β1,γ1) distance;
6) step 3) is returned to step 5), chooses another plane b of tumour, the coordinate for defining plane b is m2(m2x,m2y,
m2z), n2(n2x,n2y,n2z), q2(q2x,q2y,q2z) calculate node P1(p1x,p1y,p1z) projection point coordinates P on plane b12
(α2,β2,γ2), and judge subpoint P12(α2,β2,γ2) whether Δ m2n2q2Within;
7) according to step 1) to step 6), calculate node P1With the subpoint in other all faces of tumour in tumour point cloud file
The distance between set, L1=| P1,Δm1n1q1|,|P1,Δm2n2q2|……|P1,Δmnnnqn|};
8) L is chosen1The minimum value L of collection1min, L1min=min | P1,Δm1n1q1|,|P1,Δm2n2q2|……|P1,Δ
mnnnqn| and projection coordinate P1n(αn,βn,γn);
9) according to Lmin, P1n(αn,βn,γn) determine tumour crack position.
A kind of tumour crack analysis method is used according to above-mentioned blood vessel coordinate points and tumor surface position analysis method, used
The blood vessel coordinate points of claim 1 and tumor surface position analysis method, wherein in step 2), exist according to tumour point cloud file
Multiple point { P are taken on blood vessel or internal organs2……Pi, according to step 3) wherein to step 9) calculate each point with tumour
Beeline { the L on surface2min……Limin, and corresponding projection point coordinates { P2n(α2x,β2y,γ2z)……Pin(αix,
βiy,γiz)}。
The tumour crack analysis method, it is further comprising the steps of:
10) by { P2……PiEach node projection coordinate { P2n(α2x,β2y,γ2z)……Pin(αix,βiy,γiz)}。
Join end to end, draw tumour crack path;
11) projection coordinate's point that each node is marked out in tumour point cloud file connects the path curve to be formed and each section
Distance corresponding to point.
Step 1) is completed to step 11) using computer.
Tumour crack path curve and each node are inputted into computer with the distance between corresponding subpoint information, entered
Row virtual image.
In actual implementation process, sample point (node) collection, ordinary circumstance can be chosen according to the actual conditions with reference to blood vessel
Under, take ten sample points more preferably to realize projection mark, but there can be a variation according to blood vessel situation, number of sampling points can be with
With reference to blood vessel curvature into positive correlation.
It is further comprising the steps of:10) projection coordinate of each node is joined end to end, draws tumour crack path D;
11) marked out in tumour point cloud file tumour crack path projection coordinate's point and each node corresponding to distance.Profit
The step 1) is completed to step 11) with computer.By tumour crack path curve and each node with it is corresponding
The distance between subpoint information inputs computer, carries out virtual image.
Fig. 2 to Fig. 3 is the method according to above-described embodiment, and sampled 13 node { P on blood vessel1……P13, root
The output result schematic diagram for calculating according to the above method and being formed after exporting.13 sample points are taken, calculate intratumoral vasculature respectively
Or internal organs reach the beeline of tumor surface and corresponding subpoint, connect as sign line segment D, given birth to reference to tumour
The internal organs such as blood vessel are wrapped in growth process and grow the crack to be formed, enter intra-tumor important organ most so as to find from knurl body surface face
Good path, reaches complete or piecemeal tumor resection, and and can protects the purpose of the internal organs such as important feature such as blood vessel in knurl body.
Preferred embodiment of the invention described in detail above.It should be appreciated that one of ordinary skill in the art without
Creative work can is needed to make many modifications and variations according to the design of the present invention.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical scheme, all should be in the protection domain being defined in the patent claims.
Claims (5)
1. a kind of blood vessel coordinate points and tumor surface position analysis method, it is characterized in that:Comprise the following steps:
1) data by CT imagings carry out 3D point cloud modeling, obtain tumour point cloud file;
2) according to tumour point cloud file, a node P on the blood vessel or internal organs of tumour covering is chosen1(p1x,p1y,p1z);
3) tumour any plane a definition coordinate m is chosen according to tumour point cloud file1(m1x,m1y,m1z), n1(n1x,n1y,n1z),
q1(q1x,q1y,q1z);
4) subpoint P of the node on the plane a is calculated respectively according to below equation11Coordinate:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>+</mo>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&beta;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>-</mo>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>+</mo>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&beta;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>-</mo>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>+</mo>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&beta;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>-</mo>
<mo>(</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mn>1</mn>
</msub>
<mo>)</mo>
<mo>(</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>)</mo>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, p1x, p1y, p1z, it is the node P1Coordinate, be known quantity;
q1x, q1y, q1z, n1x, n1y, n1z, m1x, m1y, m1zIt is known quantity;
α1, β1, γ1Respectively subpoint P11In former coordinate system x-axis, y-axis, the coordinate in z-axis;
5) according to below equation decision node P1(p1x,p1y,p1z) in plane a subpoints P11(p1x,p1y,p1z) whether in plane a
Definition coordinate m1(m1x,m1y,m1z), n1(n1x,n1y,n1z), q1(q1x,q1y,q1z) formed triangle Δ m1n1q1Within;
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>+</mo>
<mi>u</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mi>v</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>&alpha;</mi>
<mn>1</mn>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>+</mo>
<mi>u</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mi>v</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>&beta;</mi>
<mn>1</mn>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>+</mo>
<mi>u</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mi>v</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>n</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>&alpha;</mi>
<mn>1</mn>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, q1x, q1y, q1z, n1x, n1y, n1z, m1x, m1y, m1zIt is known quantity;
U, v are judgement factor;Work as u<0 or v<0 or u+v>Subpoint P is may determine that when 111(p1x,p1y,p1z) in triangle
Δm1n1q1Outside;
α1, β1, γ1Respectively subpoint P11In former coordinate system x-axis, y-axis, the coordinate in z-axis;
If not in Δ m1n1q1Within, give up subpoint P11(p1x,p1y,p1z);
If in Δ m1n1q1Within, keep in subpoint P11(α1,β1,γ1), and according to the following formula calculate node to subpoint
Distance | P1,Δm1n1q1|;
<mrow>
<mo>|</mo>
<msub>
<mi>P</mi>
<mn>1</mn>
</msub>
<mo>,</mo>
<msub>
<mi>&Delta;m</mi>
<mn>1</mn>
</msub>
<msub>
<mi>n</mi>
<mn>1</mn>
</msub>
<msub>
<mi>q</mi>
<mn>1</mn>
</msub>
<mo>|</mo>
<mo>=</mo>
<msup>
<mrow>
<mo>(</mo>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<msub>
<mi>&alpha;</mi>
<mn>1</mn>
</msub>
<mo>-</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>x</mi>
</mrow>
</msub>
</mrow>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<msub>
<mi>&beta;</mi>
<mn>1</mn>
</msub>
<mo>-</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>y</mi>
</mrow>
</msub>
</mrow>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<msub>
<mi>&gamma;</mi>
<mn>1</mn>
</msub>
<mo>-</mo>
<msub>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>z</mi>
</mrow>
</msub>
</mrow>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>)</mo>
</mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</msup>
</mrow>
Wherein, | P1,Δm1n1q1| it is node P1(p1x,p1y,p1z) arrive its subpoint P11(α1,β1,γ1) distance;
6) step 3) is returned to step 5), chooses another plane b of tumour, the coordinate for defining plane b is m2(m2x,m2y,m2z), n2
(n2x,n2y,n2z), q2(q2x,q2y,q2z) calculate node P1(p1x,p1y,p1z) projection point coordinates P on plane b12(α2,β2,
γ2), and judge subpoint P12(α2,β2,γ2) whether Δ m2n2q2Within;
7) according to step 1) to step 6), calculate node P1Between the subpoint in other all faces of tumour in tumour point cloud file
Distance set, L1=| P1,Δm1n1q1|,|P1,Δm2n2q2|……|P1,Δmnnnqn|};
8) L is chosen1The minimum value L of collection1min, L1min=min | P1,Δm1n1q1|,|P1,Δm2n2q2|……|P1,Δmnnnqn|}
And projection coordinate P1n(αn,βn,γn);
9) according to Lmin, P1n(αn,βn,γn) determine tumour crack position.
2. a kind of tumour crack analysis method, it is characterized in that:Blood vessel coordinate points and tumor surface position point using claim 1
Analysis method, wherein in step 2), multiple point { P are taken on blood vessel or internal organs according to tumour point cloud file2……Pi, according to it
Described in step 3) to step 9) calculate each point in the beeline { L with tumor surface2min……Limin, and
Corresponding projection point coordinates { P2n(α2x,β2y,γ2z)……Pin(αix,βiy,γiz)}。
3. tumour crack as claimed in claim 2 analysis method, it is characterized in that:It is further comprising the steps of:
10) { the P by described in2……PiEach node projection coordinate { P2n(α2x,β2y,γ2z)……Pin(αix,βiy,γiz)}。
Join end to end, draw tumour crack path;
11) projection coordinate's point that each node is marked out in tumour point cloud file connects the path curve to be formed and each section
Distance corresponding to point.
4. tumour crack as claimed in claim 1 analysis method, it is characterized in that:The step 1) is completed to step using computer
It is rapid 11).
5. tumour crack as claimed in claim 4 analysis method, it is characterized in that:By tumour crack path curve and described
Each node inputs computer with the distance between corresponding subpoint information, carries out virtual image.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710607059.0A CN107392902A (en) | 2017-07-24 | 2017-07-24 | A kind of tumour crack analysis method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710607059.0A CN107392902A (en) | 2017-07-24 | 2017-07-24 | A kind of tumour crack analysis method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107392902A true CN107392902A (en) | 2017-11-24 |
Family
ID=60337160
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710607059.0A Pending CN107392902A (en) | 2017-07-24 | 2017-07-24 | A kind of tumour crack analysis method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107392902A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111613300A (en) * | 2019-02-22 | 2020-09-01 | 未艾医疗技术(深圳)有限公司 | Tumor and blood vessel Ai processing method and product based on VRDS4D medical image |
CN114927215A (en) * | 2022-04-27 | 2022-08-19 | 苏州大学 | Method and system for directly predicting tumor respiratory movement based on body surface point cloud data |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110181614A1 (en) * | 2010-01-25 | 2011-07-28 | King Jen Chang | Quantification method of the feature of a tumor and an imaging method of the same |
CN105147362A (en) * | 2015-07-17 | 2015-12-16 | 哈尔滨工程大学 | Brain tumor surgery incision locating and approach planning method |
CN105701814A (en) * | 2016-01-13 | 2016-06-22 | 天津大学 | Ultra-wideband breast tumor imaging method based on magnetic resonance image compensation |
-
2017
- 2017-07-24 CN CN201710607059.0A patent/CN107392902A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110181614A1 (en) * | 2010-01-25 | 2011-07-28 | King Jen Chang | Quantification method of the feature of a tumor and an imaging method of the same |
CN105147362A (en) * | 2015-07-17 | 2015-12-16 | 哈尔滨工程大学 | Brain tumor surgery incision locating and approach planning method |
CN105701814A (en) * | 2016-01-13 | 2016-06-22 | 天津大学 | Ultra-wideband breast tumor imaging method based on magnetic resonance image compensation |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111613300A (en) * | 2019-02-22 | 2020-09-01 | 未艾医疗技术(深圳)有限公司 | Tumor and blood vessel Ai processing method and product based on VRDS4D medical image |
CN111613300B (en) * | 2019-02-22 | 2023-09-15 | 曹生 | Tumor and blood vessel Ai processing method and product based on VRDS 4D medical image |
CN114927215A (en) * | 2022-04-27 | 2022-08-19 | 苏州大学 | Method and system for directly predicting tumor respiratory movement based on body surface point cloud data |
CN114927215B (en) * | 2022-04-27 | 2023-08-25 | 苏州大学 | Method and system for directly predicting tumor respiratory motion based on body surface point cloud data |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110464380A (en) | A kind of method that the ultrasound cross-section image of the late pregnancy period fetus of centering carries out quality control | |
US20070116335A1 (en) | Method and apparatus for semi-automatic segmentation technique for low-contrast tubular shaped objects | |
US20220031565A1 (en) | Device and method for three-dimensionally mapping acupuncture points | |
CN108491770A (en) | A kind of data processing method based on fracture image | |
US20070049839A1 (en) | System and method for automated airway evaluation for multi-slice computed tomography (msct) image data using airway lumen diameter, airway wall thickness and broncho-arterial ratio | |
US20180144516A1 (en) | Systems and methods for an integrated system for visualizing, simulating, modifying and 3d printing 3d objects | |
US20220319116A1 (en) | Method and device for synthesizing mathematical model of blood vessel having stenotic lesion | |
CN107392902A (en) | A kind of tumour crack analysis method | |
WO2023197752A1 (en) | Margin path generation method and system for tumor surgery, and storage medium | |
Banjšak et al. | Implementation of artificial intelligence in chronological age estimation from orthopantomographic X-ray images of archaeological skull remains | |
CN114155193B (en) | Blood vessel segmentation method and device based on feature enhancement | |
Zwicker et al. | Validated reconstructions of geometries of nasal cavities from CT scans | |
CN103340602B (en) | Method for optimizing optimal viewing angle of multiple branch interesting blood vessel section | |
Sarlabous et al. | Electromyography-based respiratory onset detection in COPD patients on non-invasive mechanical ventilation | |
Thürk et al. | Influence of reconstruction settings in electrical impedance tomography on figures of merit and physiological parameters | |
CN107845106A (en) | Utilize the medical image registration method of improved NNDR strategies | |
CN111417345B (en) | Systems, methods, and computer-readable media for automated computed tomography to computed tomography registration | |
CN110458246A (en) | A kind of Biliary Calculi classification method based on deep learning | |
CN115249290A (en) | Spatial data processing method, spatial positioning method and equipment for unilateral temporal bone | |
Sauer et al. | Blind source separation of inspiration and expiration in respiratory sEMG signals | |
Terwilliger et al. | Advancing medical education: performance of generative artificial intelligence models on otolaryngology board preparation questions with image analysis insights | |
Funayama et al. | Sex determination of the human skull based upon line drawing from roentgen cephalograms | |
CN106780572A (en) | Automatic electro-anatomical map and CT method for registering images and device based on iteration closest approach | |
Kim et al. | An Immersive Virtual Reality Simulator for Echocardiography Examination | |
CN104997526A (en) | Fracture end rotation degree measuring method based on digital X-ray image and computer assistance |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171124 |