CN108320328A - A kind of particle counting methods that 2D images are interacted with 3D rendering - Google Patents
A kind of particle counting methods that 2D images are interacted with 3D rendering Download PDFInfo
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Abstract
The present invention relates to a kind of particle counting methods that 2D images are interacted with 3D rendering, obtain the CT images after patient's seeds implanted and its corresponding tumor region, obtain 2D images；The reconstruction threshold value for adjusting setting 3D models, extracts the outer profile of particle, 3D models is established according to the outer profile；Using the particle position selected in 2D images as the center of the particle in 3D models, and establish coordinate system；The Plane Location that 2D levels are shown in 3D models determines the position at the center of particle according to the interactive relation between it；The number of particles of implantation is counted according to identified center, and then obtains the number of particles of implantation.The particle counting methods that a kind of 2D images proposed by the present invention are interacted with 3D rendering are applied to the seeds implanted radiotherapy of image guiding, to improve the accuracy of the dose assessment of seeds implanted.
Description
Technical field
The present invention relates to Medical Image Processing and image guided radiation therapy technical field, especially a kind of 2D images and 3D
The particle counting methods of image interaction.
Background technology
There are mainly three types of oncotherapy means：Operation, radiotherapy and chemotherapy.It is more and more with the raising of living condition
Tumour be discovered in an early phase, and treated.Radiotherapy has unique status in oncotherapy.Some tumours are such as
The effect of radiotherapy of nasopharyngeal carcinoma, cervical carcinoma, breast cancer, prostate cancer etc. is that other treatment mode cannot replace a bit
, the effect of some radiotherapies and the effect of other treatment mode are almost the same.60% or more patient needs in current treatment
Carry out all or part of radiotherapy.And elementary object is the ratio of gains for improving radiotherapy as possible in radiotherapy,
While tumor region is given with enough exposure doses, keep normal surrounding tissue and organ few by or from not as far as possible
Necessary irradiation, other complication for avoiding radiotherapy from causing.
In radiotherapy, mainly there is the mode of external exposure and Brachytherapy.Since the entrance new century, outer photograph
It penetrates technology and obtains quick development, such as IMRT, VMAT, IGRT technology under technical development of computer.But closely
Interior irradiation radiotherapy is also one of the technology that do not replace.Seeds implanted is the effective means of plesioradiotherapy, it can be filled
That divides is irradiated tumor region, but can be well protected normal organ again.In past more than 20 years, particle therapy is in state
Interior fast development although having there is treatment planning systems, while carrying out the seeds implanted of image guiding under analog machine or CT machines,
But seeds implanted is into behind patient body inside, how the dosage distribution of the irradiation at short distance of accurate evaluation particle, be a mesh
Before be difficult to solve the problems, such as.Have at 2 points for the main difficulty of online seeds implanted：Firstly, for particle accurate location and particle
Quantity be relatively difficult to determine.Secondly as the particle centre point based on 2D images determines the multiple artificial subjective judgement of needs,
Need to take a long time and cannot ensure the accuracy of the position of particle.Therefore, when online seeds implanted, due to determination
The position of particle and the time needed for quantity are too long, can miss the opportunity of the best supplement particle of patient, and then can seriously affect
The treatment curative effect of patient.
With the development of Medical Imaging Technology, three-dimensional image reconstruction technology plays increasingly heavier in termed image-guided radiotherapy
The effect wanted.And threedimensional model is utilized, guiding operation plays critically important effect in current surgical navigational.It is planted in particle
Enter in online and offline assessment, due to the limitation of technology and time, doctor cannot be accurate well and quickly determines particle
The effect of exact position is for treating assessment will produce fatal mistake.Therefore, how according in the two dimensional image obtained online
Particle image position, accurately quickly determine particles spatial position, to further increase patient dose assessment standard
True property, the final treatment curative effect for improving patient is the problem put in face of doctor and physics teacher.
Invention content
The purpose of the present invention is to provide a kind of particle counting methods that 2D images are interacted with 3D rendering, to overcome existing skill
Defect present in art.
To achieve the above object, the technical scheme is that：A kind of particle counting side that 2D images are interacted with 3D rendering
Method is realized in accordance with the following steps：
Step S1：The CT images after patient's seeds implanted and its corresponding tumor region are obtained, 2D images are obtained；
Step S2：It chooses range of the particle in the 2D images, adjusts the reconstruction threshold value of setting 3D models, described in extraction
The outer profile of particle establishes 3D models according to the outer profile；
Step S3：Using the particle position selected in the 2D images as the center of the particle in the 3D models, and build
Vertical coordinate system；The section position that 2D levels are shown in the 3D models judges according to interaction between the two, determines particle
The position at center；
Step S4：According to the step S3, the number of particles of implantation is counted according to identified center, and then obtains
Take the total number of particles amount of implantation.
In an embodiment of the present invention, in the step S1, further include following steps：Patient passes through image-guided progress
Seeds implanted is scanned seeds implanted region by using the CT thickness of 2.5mm, sketches out corresponding after being implanted into particle
Tumor region, and the image of 2.5mm thickness is rebuild in transmission on CT machines.
In an embodiment of the present invention, patient uses dorsal position, and both hands embrace head or lift single armed, and carry out CT scan；It carries out
The large apertures Philips spiral positioning CT scan, scanning range include：At least each extension 2cm of scanning tumour head foot；The condition of scanning：
Image layer is away from equal to 2.5mm, thickness 2.5mm.
In an embodiment of the present invention, further include following steps in the step S2：
Step S21：Reconstruction scope is chosen；Choose reconstruction regions on the 2D images, including tumour left, right, front and rear, head with
And foot；By the 2D image magnifications, and bicubic interpolation processing operation is used between the pixels, generate new local 2D images；
Step S22：Particle 3D threshold values select；According to the 3D Model Reconstruction threshold values set in the part 2D images, enable HU values small
It is rejected in its hetero-organization of particle edges value, generates the 2D sequence images for only including the particle；
Step S23：The generation of 3D models；According to the 2D sequence images, image sequence synthesis is carried out, to generate 3D model sequences
Row；Image contract is carried out, the data volume that 3D Model sequences are shown is reduced；The data of 3D Model sequences are carried out by smooth function
Smoothing processing obtains the data after smooth treatment；3D model dough sheets are generated, 3D models are obtained；
Step S24：The display setting of 3D models；The color of the 3D models is adjusted to red, the transparent of the 3D models is set
Degree, setting window background color unit are black.
In an embodiment of the present invention, in the step S3, further include following steps：
Step S31：The angle for rotating the 3D models, all particles are shown, two particles that head foot is connected are denoted as one
A particle carries out rough estimates to number of particles；
Step S32：Take a bright spot as correspondence according to the brightness in the 2D images on two particles that head foot is connected
The center of selected particle, and reference axis is established according to the center in 3D models, and according to vertical with patient head foot direction
The planar virtuals of two axis show；If the center of selected particle is located at the edge part of particle in the 3D models
Position, then give up the point；If positioned at the central point of particle in the 3D models, it is denoted as the place-centric of particle, described
It is marked in 3D models；
Step S33：Often increase a particle to particle statistics list, records the space coordinate of the serial number of particle and the center of particle
Position, or interact determination in the central point of particle；According to the center of selected particle, a virtual particle is generated；It checks virtual
Whether the position of particle is comprised in the particle position of the 3D models；Head foot direction based on virtual particle, rotatable coordinate axis,
It is matched with 3D models, judges the center of particle；
Step S34：Judge the final position of particle according to particle adhesion situation.
Compared to the prior art, the invention has the advantages that：The present invention is by making full use of modern medical service medicine
The advantage of video imaging and Medical Image Processing introduces interactive space position judgment in termed image-guided radiotherapy field, is based on
3D models are established by the outer profile of the particle gone out to 2D image segmentations.Position in 2D images maps to 3D model spaces seat
In mark system, to rapidly and accurately judge the spatial position of particle and be implanted into the quantity of particle, and then tumour is accurately assessed
Exposure dosage and the seeds implanted at guidance scene.Judge the exposure dosage of tumour for scene and whether needs to increase particle
The quantity of implantation and the position of implantation provide strong technical support, improve the effect of tumour radiotherapy.
Description of the drawings
Fig. 1 is the course diagram for the particle counting methods that 2D images are interacted with 3D rendering in the present invention.
Fig. 2 is in one embodiment of the invention according to the 3D illustratons of model of the particle profile for the 2D image zooming-outs for selecting range.
Fig. 3 is the position view that 2D images choose particle in one embodiment of the invention.
Fig. 4 is that 3D display corresponds to 2D position coordinates axis figures in one embodiment of the invention.
Fig. 5 is that 3D display 2D images correspond to level figure in one embodiment of the invention.
Fig. 6 is particle label and location determination figure in one embodiment of the invention.
Specific implementation mode
Below in conjunction with the accompanying drawings, technical scheme of the present invention is specifically described.
The present invention provides a kind of particle counting methods that 2D images are interacted with 3D rendering, as shown in Figure 1, in accordance with the following steps
It realizes：
Step S1：The CT images after patient's seeds implanted and its corresponding tumor region are obtained, 2D images are obtained；
Step S2：Range of the particle in 2D images is chosen, the reconstruction threshold value of setting 3D models is adjusted, extracts the foreign steamer of particle
Exterior feature establishes 3D models according to the outer profile；
Step S3：Using the particle position selected in 2D images as the center of the particle in 3D models, and establish coordinate system；
The section position that 2D levels are shown in 3D models judges according to interaction between the two, determines the position at the center of particle；
Step S4：According to step S3, the number of particles of implantation is counted according to identified center, and then obtains and plants
The total number of particles amount entered.
In the present embodiment, in step sl, further include following steps：Patient by image-guided carry out seeds implanted,
After being implanted into particle, seeds implanted region is scanned by using the CT thickness of 2.5mm, sketches out corresponding tumor region,
And the image of 2.5mm thickness is rebuild in transmission on CT machines, and then clearly view the region where particle.
In the present embodiment, patient uses dorsal position, both hands to embrace head or lift single armed, it is fixed to carry out the large apertures Philips spiral
Position CT scan, scanning range include：Each extension 2cm of tumour head foot is at least scanned, is determined according to patient's concrete condition；Scan stripes
Part：Image layer is away from equal to 2.5mm, thickness 2.5mm.According to International Radiation Unit and Measurement Committee（International
Commission on Radiation Units and Measurements,ICRU）50 and No. 83 files【1-2】, according to phase
The inspection material answered is such as：The image of MRI, PET/CT sketch out the region of tumour in positioning CT images, obtain GTV.
In the present embodiment, in step s 2, as shown in Fig. 2, further including following steps：
Step S21：Reconstruction scope is chosen；Reconstruction regions, including tumour left, right, front and rear, head and foot are chosen on the 2 d image；
By 8 times of 2D image magnifications, and bicubic interpolation processing operation is used between the pixels, generate new local 2D images；
Pixel (x, y) of the bicubic interpolation to interpolation（X and y can be floating number）, take the 4x4 neighborhood points (x near iti,
yj), i,j = 0、1、2、3.Interpolation calculation is carried out as follows：
Step S22：Particle 3D threshold values select；Show that set 3D Model Reconstruction threshold values, threshold value take grain in local 2D images
Son is determined in the HU values at the edge that CT images are shown, its hetero-organization that the HU values of CT images are less than particle edges value is enabled to reject,
Generate the 2D sequence images for only including particle；
Step S23：The generation of 3D models；According to 2D sequence images, carries out image sequence and be combined to, to generate 3D Model sequences；
Image contract is carried out, the data volume that 3D Model sequences are shown is reduced；The data of 3D Model sequences are put down by smooth function
Sliding processing, obtains the data after smooth treatment；3D model dough sheets are generated, 3D models are obtained；
Step S24：The display setting of 3D models；The color of 3D models is adjusted to red, the transparency of 3D models is set, window is set
Mouth background color unit is black.
In the present embodiment, the accurate location that realize interactive determination particle, it is crucial that being selected in two dimensional image
Behind middle position, the spatial position of particle is shown using the mode of reference axis in 3D models, while showing that 2D schemes in 3D models
The position of picture, to judge whether the position is particle centre, so that it is determined that carrying out the central point of Rapid Dose Calculation with this position.But
It is since after seeds implanted body, may all there be prodigious change in direction and position, some particles can individually be shown.But
Many particles are linked together due to deformation and extruding of tissue etc..In the present embodiment, by the 3D models of auxiliary,
The spatial position of particle centre point can be quickly determined by the interaction of 2D images and 3D models.In order to further increase particle
Accuracy generate a virtual particle, judge that central point is by the virtual particle using using the point set as target
No is the central point of a particle.
In the present embodiment, in step s3, as shown in Figures 3 to 6, further include following steps：
Step S31：The angle for rotating 3D models, all particles is shown, specific rotation angle is specifically true according to actual conditions
It is fixed.Two particles that head foot is connected are denoted as a particle, rough estimates are carried out to number of particles；In the present embodiment, to regard
Feel that independent particle that can be respectively is counted.
Step S32：Take a bright spot as correspondence according to the brightness in 2D images on two particles that head foot is connected
The center of selected particle, and reference axis is established according to the center in 3D models, preliminary three axis of reference axis are respectively
The head foot of patient；Left and right, it is front and back；And showing according to the planar virtual of two axis vertical with patient head foot direction；If
The particle centre chosen in 2D images is located at the edge of particle in 3D models, then gives up the point；If the point is located at 3D models
The central point of middle particle is then denoted as the place-centric of particle, is marked in 3D models；
Step S33：Often increase a particle to particle statistics list, records the space coordinate of the serial number of particle and the center of particle
Position can also interact in the central point of particle and determine；According to the specific size for the particle for producing producer's offer, with the grain of selection
Centered on the center of son, a virtual particle model is generated.Check whether the position of virtual particle is comprised in 3D models
Particle position；When by virtual particle, the original state of virtual particle is the head foot direction that can be tentatively standard, at this time may be used
To rotate the reference axis of virtual particle auxiliary, is then matched with 3D models, judge the center of particle；
Step S34：Judge the final position of particle according to particle adhesion situation.Using the method for virtual particle generated above, come
It tests repeatedly and judges the accurate position of the reality of particle.
The above are preferred embodiments of the present invention, all any changes made according to the technical solution of the present invention, and generated function is made
When with range without departing from technical solution of the present invention, all belong to the scope of protection of the present invention.
Claims (5)
1. a kind of particle counting methods that 2D images are interacted with 3D rendering, which is characterized in that realize in accordance with the following steps：
Step S1：The CT images after patient's seeds implanted and its corresponding tumor region are obtained, 2D images are obtained；
Step S2：It chooses range of the particle in the 2D images, adjusts the reconstruction threshold value of setting 3D models, described in extraction
The outer profile of particle establishes 3D models according to the outer profile；
Step S3：Using the particle position selected in the 2D images as the center of the particle in the 3D models, and build
Vertical coordinate system；The section position that 2D levels are shown in the 3D models judges according to interaction between the two, determines particle
The position at center；
Step S4：According to the step S3, the number of particles of implantation is counted according to identified center, and then obtains
Take the total number of particles amount of implantation.
2. the particle counting methods that a kind of 2D images according to claim 1 are interacted with 3D rendering, which is characterized in that in institute
It states in step S1, further includes following steps：Patient is by image-guided carry out seeds implanted, after being implanted into particle, by using
The CT thickness of 2.5mm is scanned seeds implanted region, sketches out corresponding tumor region, and transmit and rebuild on CT machines
The image of 2.5mm thickness.
3. the particle counting methods that a kind of 2D images according to claim 2 are interacted with 3D rendering, which is characterized in that patient
Using dorsal position, both hands embrace head or lift single armed, and carry out CT scan；Carry out the large apertures Philips spiral positioning CT scan, scanning
Range includes：At least each extension 2cm of scanning tumour head foot；The condition of scanning：Image layer is away from equal to 2.5mm, thickness 2.5mm.
4. the particle counting methods that a kind of 2D images according to claim 1 are interacted with 3D rendering, which is characterized in that in institute
It states in step S2, further includes following steps：
Step S21：Reconstruction scope is chosen；Choose reconstruction regions on the 2D images, including tumour left, right, front and rear, head with
And foot；By the 2D image magnifications, and bicubic interpolation processing operation is used between the pixels, generate new local 2D images；
Step S22：Particle 3D threshold values select；According to the 3D Model Reconstruction threshold values set in the part 2D images, enable HU values small
It is rejected in its hetero-organization of particle edges value, generates the 2D sequence images for only including the particle；
Step S23：The generation of 3D models；According to the 2D sequence images, image sequence synthesis is carried out, to generate 3D model sequences
Row；Image contract is carried out, the data volume that 3D Model sequences are shown is reduced；The data of 3D Model sequences are carried out by smooth function
Smoothing processing obtains the data after smooth treatment；3D model dough sheets are generated, 3D models are obtained；
Step S24：The display setting of 3D models；The color of the 3D models is adjusted to red, the transparent of the 3D models is set
Degree, setting window background color unit are black.
5. the particle counting methods that a kind of 2D images according to claim 1 are interacted with 3D rendering, which is characterized in that in institute
It states in step S3, further includes following steps：
Step S31：The angle for rotating the 3D models, all particles are shown, two particles that head foot is connected are denoted as one
A particle carries out rough estimates to number of particles；
Step S32：Take a bright spot as correspondence according to the brightness in the 2D images on two particles that head foot is connected
The center of selected particle, and reference axis is established according to the center in 3D models, and according to vertical with patient head foot direction
The planar virtuals of two axis show；If the center of selected particle is located at the edge part of particle in the 3D models
Position, then give up the point；If positioned at the central point of particle in the 3D models, it is denoted as the place-centric of particle, described
It is marked in 3D models；
Step S33：Often increase a particle to particle statistics list, records the space coordinate of the serial number of particle and the center of particle
Position, or interact determination in the central point of particle；According to the center of selected particle, a virtual particle is generated；It checks virtual
Whether the position of particle is comprised in the particle position of the 3D models；Head foot direction based on virtual particle, rotatable coordinate axis,
It is matched with 3D models, judges the center of particle；
Step S34：Judge the final position of particle according to particle adhesion situation.
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| CN113262390A (en) * | 2021-06-28 | 2021-08-17 | 真实维度科技控股(珠海)有限公司 | Tumor radiotherapy effect evaluation method based on radioactive particle implantation |
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| CN106902477A (en) * | 2017-01-23 | 2017-06-30 | 福建省肿瘤医院 | A kind of non-linear fusion method of Radiotherapy dosimetry inside and outside cervical carcinoma |
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| CN113262390A (en) * | 2021-06-28 | 2021-08-17 | 真实维度科技控股(珠海)有限公司 | Tumor radiotherapy effect evaluation method based on radioactive particle implantation |
| CN113262390B (en) * | 2021-06-28 | 2022-06-21 | 真实维度科技控股(珠海)有限公司 | Tumor radiotherapy effect evaluation method based on radioactive particle implantation |
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