CN111179421A - Method, device and computer equipment for constructing neuroblastoma model - Google Patents
Method, device and computer equipment for constructing neuroblastoma model Download PDFInfo
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Abstract
The invention relates to a method, an apparatus, a computer device and a storage medium for constructing a neuroblastoma model. The method comprises the following steps: acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma; adding pre-selected color information to the first and second STL documents; if an integration instruction is received, integrating the first STL document and the second STL document containing the color information to obtain an integral STL document; printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue. The method can accurately present the position relation of the neuroblastoma and other tissues.
Description
Technical Field
The invention relates to the technical field of 3D printing, in particular to a method and a device for constructing a neuroblastoma model, computer equipment and a storage medium.
Background
A 3D printing technique, one of the rapid prototyping techniques, is a technique of constructing an object by printing layer by layer using an adhesive material such as powdered metal or plastic based on a digital model file. The 3D printing technology can be widely applied in various fields to print a desired model, for example, in the medical field, a model of neuroblastoma can be printed using the 3D printing technology. In order to more completely show the relationship between the neuroblastoma and other tissues, the neuroblastoma model and the other tissue models are generally required to be further assembled and combined, but the 3D printing material is affected by temperature or the 3D printer has certain precision limit, so that the 3D printed model has certain error, the neuroblastoma model cannot be well spliced with the other tissue models, and the neuroblastoma model and the other tissue models cannot accurately show the positional relationship.
Disclosure of Invention
In view of the above, there is a need to provide a method, an apparatus, a computer device and a storage medium for constructing a neuroblastoma model, which can accurately represent the positional relationship between neuroblastoma and other tissues.
In a first aspect, there is provided a method of constructing a neuroblastoma model, comprising:
acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
adding pre-selected color information to the first and second STL documents;
if an integration instruction is received, integrating the first STL document and the second STL document containing the color information to obtain an integral STL document;
printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue.
In one embodiment, the step of adding pre-selected color information to the first and second STL documents includes:
receiving a first color selection instruction, determining first color information corresponding to the first color selection instruction, and adding the first color information to the first STL document;
and receiving a second color selection instruction, determining second color information corresponding to the second color selection instruction, and adding the second color information to the second STL document.
In one embodiment, the step of printing a colored ensemble model from the ensemble STL document comprises:
and printing the transparent colored integral model by using a transparent material according to the integral STL document.
In one embodiment, before the step of obtaining the first STL document and the second STL document, the method further comprises:
acquiring original data obtained by CT scanning; the raw data is used to characterize the neuroblastoma and the surrounding tissue;
performing three-dimensional reconstruction processing on the original data to obtain a three-dimensional image;
and performing threshold segmentation on the three-dimensional image to obtain a first STL document and a second STL document.
In one embodiment, the thresholding the three-dimensional image comprises:
determining a first segmentation threshold for the neuroblastoma and a second segmentation threshold for the surrounding tissue based on a pre-imaging treatment;
and performing threshold segmentation on the three-dimensional image according to the first segmentation threshold and the second segmentation threshold.
In one embodiment, after the step of performing threshold segmentation on the three-dimensional image to obtain the first STL document and the second STL document, the method further includes:
performing modification processing of region growing on the first STL document and the second STL document to obtain a first STL document and a second STL document after modification processing;
the step of adding pre-selected color information to the first and second STL documents includes:
and adding the pre-selected color information to the first STL document and the second STL document after the modification processing.
In one embodiment, the step of acquiring raw data obtained from a CT scan comprises:
receiving the original data sent by the CT scanning equipment; and the original data is obtained by performing enhanced scanning by the CT scanning equipment according to preset scanning parameters.
In a second aspect, there is provided an apparatus for constructing a neuroblastoma model, comprising:
the STL document acquisition module is used for acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
a color information adding module for adding pre-selected color information to the first and second STL documents;
the document integration module is used for integrating the first STL document and the second STL document containing the color information to obtain an integral STL document if an integration instruction is received;
the model printing module is used for printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue.
In a third aspect, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
adding pre-selected color information to the first and second STL documents;
if an integration instruction is received, integrating the first STL document and the second STL document containing the color information to obtain an integral STL document;
printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
adding pre-selected color information to the first and second STL documents;
if an integration instruction is received, integrating the first STL document and the second STL document containing the color information to obtain an integral STL document;
printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue.
According to the method, the device, the computer equipment and the storage medium for constructing the neuroblastoma model, the pre-selected color information is added to the first STL document representing the neuroblastoma information and the second STL document representing the peripheral tissue information of the neuroblastoma, after the integration instruction is received, the first STL document and the second STL document containing the color information are integrated to obtain the whole STL document, and the colored whole model containing the neuroblastoma and the peripheral tissue is obtained by printing according to the whole STL document, so that the condition that the neuroblastoma model and the peripheral tissue model need to be spliced is avoided, the splicing error in the splicing process is prevented, and the colored whole model can accurately present the position relationship between the neuroblastoma and the peripheral tissue.
Drawings
FIG. 1 is a diagram illustrating an internal structure of a computer device according to an embodiment;
FIG. 2 is a schematic flow chart diagram illustrating a method for constructing a neuroblastoma model, according to an exemplary embodiment;
FIG. 3 is a schematic flow chart illustrating a method for constructing a neuroblastoma model according to another embodiment;
FIG. 4 is a schematic diagram of a model obtained after performing a method of constructing a neuroblastoma model;
fig. 5 is a block diagram showing an apparatus for constructing a neuroblastoma model according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The method for constructing a neuroblastoma model provided by the present invention can be applied to a computer device shown in fig. 1, and the internal structure diagram thereof can be shown in fig. 1. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of constructing a neuroblastoma model. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the inventive arrangements and is not intended to limit the computing devices to which the inventive arrangements may be applied, as a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, as shown in fig. 2, a method for constructing a neuroblastoma model is provided, which is illustrated by the application of the method to the computer device in fig. 1, and comprises the following steps:
step S202, a first STL document and a second STL document are obtained.
The STL (stereolithography) document can describe the surface geometry of the three-dimensional object through the stored information, and the 3D printer can print the corresponding object according to the STL document; the STL document may store information related to neuroblastoma through which a shape of neuroblastoma may be described, and information related to a peripheral tissue of neuroblastoma, which may be a blood vessel around neuroblastoma, such as a blood supply artery, to describe a shape of the peripheral tissue. In the following description, the STL document storing information of neuroblastoma is represented by a first STL document; the STL document storing information of the surrounding organization is represented by a second STL document.
In this step, the computer apparatus proceeds to step S204 after acquiring the first STL document and the second STL document.
Specifically, the computer device may obtain the first STL document and the second STL document by: firstly, acquiring raw data obtained by CT scanning by computer equipment, wherein the raw data is used for representing neuroblastoma and peripheral tissues; and then, the computer equipment carries out three-dimensional reconstruction processing on the original data to obtain a three-dimensional image, and carries out threshold segmentation on the three-dimensional image to obtain a first STL document and a second STL document.
The computer device may perform three-dimensional reconstruction processing on the original data through three-dimensional reconstruction software, where the three-dimensional reconstruction software may be a Mimics software program v14.01 (materialcorp, Leuven, Belgium).
In another embodiment, the raw data may be data transmitted by a CT scanning device, and specifically, the CT scanning device may perform enhanced scanning according to preset scanning parameters to obtain the raw data. Wherein the CT scanning device may be a Toshiba Aquillion or Philips Brilliance 64-row helical CT machine. The preset scan parameters are used for the CT scanning device to scan according to the scan parameters, and the preset scan parameters may include various parameter types and values corresponding to the various parameter types, for example, the parameter types may include but are not limited to: tube voltage, scanning layer thickness, layer interval and the like, and the numerical values of the parameter types can be selected according to actual conditions; in one embodiment, the preset scan parameters may include the following parameter types and corresponding values: the tube voltage is 120kV, the current is automatically adjusted, the scanning layer thickness is 0.625mm, the layer interval is 0, the thread pitch is 1.0, and the matrix is 512 multiplied by 512. The enhanced scanning can adopt different parameter values according to actual conditions, for example, nonionic Ultravist370 can be adopted; 1-3ml/kg body mass, injection flow rate 1-2 ml/s. Furthermore, when the CT scanning device is used for scanning, the scanning range can be determined according to actual conditions, in one embodiment, the scanning range can be the whole tumor, single arterial phase scanning is adopted for scanning, and direct enhanced scanning is applied for the first time, so that flat scanning and venous phase scanning are reduced, and CT dose received by a scanning object is further reduced.
Step S204, adding the pre-selected color information to the first STL document and the second STL document.
The color information is used for attaching corresponding colors to the model printed by the 3D printer, and the color information added to the first STL document and the second STL document may be information representing the same color, such as information representing red, or information representing different colors, such as information representing yellow and red, respectively.
In this step, after the computer device obtains the pre-selected color information, the color information is added to the first STL document and the second STL document. Wherein the computer device may add the color information to the first and second STL documents via the three-dimensional reconstruction software. Specifically, a user can select color information in the three-dimensional reconstruction software through a mouse, and when the user clicks a mouse to trigger a color selection instruction, the three-dimensional reconstruction software can determine the selected color information according to the color selection instruction, so that the color information is added to the first STL document and the second STL document.
In one embodiment, the computer device first obtains a first color selection instruction, determines first color information corresponding to the first color selection instruction, and adds the first color information to the first STL document, and then when obtaining a second color selection instruction, determines second color information corresponding to the second color selection instruction, and adds the second color information to the second STL document, where the first color information and the second color information may represent a same color, such as yellow, red, or green, or may represent different colors, such as the first color information may represent yellow, and the second color information may represent red. When the first color information and the second color information represent different colors, the model of the neuroblastoma and the model of the surrounding tissues are more distinguishable, and the distinction is facilitated. In this embodiment, the computer device may add the first STL document and the second STL document to the three-dimensional reconstruction software, which is described in the above steps for a specific manner and is not described herein again.
Step S206, if the integration instruction is received, performing integration processing on the first STL document and the second STL document including the color information to obtain an overall STL document.
Wherein the integration instruction is for triggering the computer device to integrate the STL document.
In this step, the computer device adds the color information to the first and second STL documents to obtain first and second STL documents containing the color information, and when the computer device receives the integration instruction, the computer device performs integration processing on the first and second STL documents containing the color information to obtain an overall STL document.
And step S208, printing to obtain a colored integral model according to the integral STL document.
In this step, after obtaining the entire STL document, the computer device prints a colored integral model, which is a model including neuroblastoma and surrounding tissues, from the entire STL document. Specifically, the computer device may send the entire STL document to a 3D printer connected to the computer device, triggering the 3D printer to print the colored integral model from the entire STL document. The 3D printer may be Stratasys J750TM, among others.
In one embodiment, to facilitate viewing the positional relationship between the neuroblastoma model and the surrounding tissue model, a transparent material (e.g., VeroClear) can be usedTM) Printing to obtain a transparent colored integral model, e.g. a transparent red integral model, or a transparent red surrounding tissue model and a transparent yellow nerve headA colored integral model of a cytoma model. Further, printing may also be performed in combination with a transparent material and an RGD720 printing model.
According to the method for constructing the neuroblastoma model, the pre-selected color information is added to the first STL document representing the neuroblastoma information and the second STL document representing the peripheral tissue information of the neuroblastoma, after the integration instruction is received, the first STL document and the second STL document containing the color information are integrated to obtain the whole STL document, and the colored whole model containing the neuroblastoma and the peripheral tissue is obtained by printing according to the whole STL document, so that the condition that the neuroblastoma model and the peripheral tissue model need to be spliced is avoided, the splicing error in the splicing process is prevented, and the colored whole model can accurately present the position relation of the neuroblastoma and the peripheral tissue.
In one embodiment, the step of thresholding the three-dimensional image by the computer device to obtain the first STL document and the second STL document may comprise: determining a first segmentation threshold of the neuroblastoma and a second segmentation threshold of the surrounding tissue based on a pre-imaging process; and performing threshold segmentation on the three-dimensional image according to the first segmentation threshold and the second segmentation threshold to obtain a first STL document and a second STL document.
In this embodiment, the computer device may perform threshold segmentation on the three-dimensional image through three-dimensional reconstruction software, specifically, the three-dimensional reconstruction software may determine a first segmentation threshold of the neuroblastoma and a second segmentation threshold of the surrounding tissue according to pre-radiography processing, and perform threshold segmentation on the three-dimensional image according to the determined first segmentation threshold and the determined second segmentation threshold, to obtain a first STL document and a second STL document. Wherein, the pre-contrast treatment can be the contrast treatment of neuroblastoma by using an Ultravist370 contrast agent; the contrast processing can enable the original data obtained by scanning the neuroblastoma and the surrounding tissues by the CT scanning equipment to have larger discrimination, and the three-dimensional reconstruction software can determine the corresponding segmentation threshold according to the original data with larger discrimination, so that the three-dimensional image is subjected to threshold segmentation according to the corresponding segmentation threshold, and the first STL document and the second STL document are obtained.
In an embodiment, the step of performing, by the computer device, threshold segmentation on the three-dimensional image according to a first segmentation threshold and a second segmentation threshold to obtain a first STL document and a second STL document may include performing region growing modification processing on the first STL document and the second STL document to obtain a modified first STL document and a modified second STL document: .
In this embodiment, the computer apparatus may perform region growing processing on the first STL document and the second STL document to modify the image, thereby obtaining modified first STL document and second STL document. The modification processing of the image by the computer device can also be realized by utilizing functions of image editing, Boolean budget and the like.
In the following description, neuroblastoma may be simply referred to as tumor.
In the traditional technology, two-dimensional plane images obtained by a CT scanning device are mainly relied on to display the position of a tumor and evaluate the relation between the tumor and peripheral blood vessels. This way of displaying the position relationship between the tumor and the surrounding blood vessels can cause large errors in tumor localization due to the two-dimensional image properties of CT. Although 3D printing can overcome the disadvantage that CT two-dimensional images cause non-intuition, the tumor model and the surrounding tissue model printed in 3D still need to be further spliced in the later period, and errors may be caused in the splicing process, so that the tumor model and the surrounding tissue model still cannot accurately display the position relationship between the tumor and the surrounding tissue.
Based on this, the present invention provides a method for constructing neuroblastoma, and in order to better understand the method, an application example of the method for constructing neuroblastoma model according to the present invention is described in detail below.
Digital model construction of tumor anatomical structure
The tumor was scanned using spiral CT with a CT scan layer thickness of 0.625mm and ultrasound contrast agent of ultravisst 370. The scan site includes the entire tumor, including the plateau phase, the arterial phase, and the venous phase. The obtained image clearly shows the fine branch structure and the artifact is small. The functions of threshold segmentation, region growing, image editing, morphological operation, Boolean budget and the like in the three-dimensional reconstruction software mimics14.01 are utilized to carry out segmentation reconstruction on the tissue structure respectively.
Two, 3D printing neuroblastoma model
Adopting spiral CT/MRI scanning, leading data into a Mimics software program v14.01(Materialize Corp, Leuven, Belgium) for segmentation and reconstruction, generating a three-dimensional model of a corresponding organ, and storing the three-dimensional model in an STL format. Tumor modeling was performed and saved as STL documentation. And (3) constructing a three-dimensional digital model by adopting an automatic mode and a manual mode. And (3) importing the three-dimensional digital model of the STL document into a Stratasys J750TM 3D printer, and setting printer parameters, wherein the 3D printer has full-color and tissue matching and color level matching functions. Adopts a transparent material VeroClearTMAnd RGD720 printing model. The method comprises the following steps of 1: 1, the model. The transparent material can be adopted to ensure that part of the organ model is transparent and the internal structure of the organ is fully exposed.
The following will explain the concrete implementation steps of the digital model construction of the tumor anatomical structure and the 3D printing neuroblastoma model with reference to fig. 3:
step S302, scanning:
1) the instrument equipment comprises: adopting Toshiba Aquillion or Philips Brilliance 64-row spiral CT machine;
2) scanning parameters are as follows: the tube voltage is 120kV, the current is automatically adjusted, the scanning layer thickness is 0.625mm, the layer interval is 0, the thread pitch is 1.0, and the matrix is 512 multiplied by 512;
3) the enhanced scanning adopts nonionic Ultravist 370; 1-3ml/kg body mass, injection flow rate 1-2 ml/s.
4) Scanning range: including all tumors. The scan uses a single arterial phase scan. The direct enhancement of scanning is used for the first time, flat scanning and venous scanning are reduced, and CT dose accepted by children is obviously reduced.
Step S304, modeling
1) Scanning original data and inputting the scanned original data into three-dimensional reconstruction software mimics14.01 for three-dimensional reconstruction;
2) threshold segmentation: blood vessel and tumor threshold segmentation. The CT (120HU) threshold values of blood vessels (artery 220HU) and tumors of children are determined for the first time by using an Ultravist370 contrast agent;
3) region growing, image editing and Boolean budget function modifying model;
4) the STI models of each site (blood supply artery and tumor) individually and the STI model as a whole were outputted in a Mimics software program v14.01(material Corp, Leuven, Belgium).
Step S306, 3D printing
1) Importing the STL document into a Stratasys J750TM 3D printer;
2) printing materials: adopts a transparent material VeroClearTMPrinting applied to neuroblastoma;
3) full color and texture matching and tone level matching color functions (equivalent to adding color information to the STL document): the blood supply artery adopts red, and the tumor adopts yellow;
4) RGD720 printing model, using 1: 1, the model.
In the present embodiment, after the above steps, a colored whole model (color not shown in the figure) including the neuroblastoma model 402 and the blood supply artery model 404 as shown in fig. 4 can be printed. In this embodiment, the color information is added to the STL document, the STL document is integrated, and the entire STL document is printed to obtain a colored integral model including the neuroblastoma and the surrounding tissue, thereby avoiding a situation that the neuroblastoma model and the surrounding tissue model need to be spliced, preventing a splicing error occurring in the splicing process, and enabling the colored integral model to accurately represent a position relationship between the neuroblastoma and the surrounding tissue.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention.
Based on the same idea as the method for constructing a neuroblastoma model in the above embodiment, the present invention also provides an apparatus for constructing a neuroblastoma model, which can be used to execute the above method for constructing a neuroblastoma model. For convenience of explanation, the schematic structural diagram of the embodiment of the apparatus for constructing a neuroblastoma model only shows the parts related to the embodiment of the present invention, and those skilled in the art will understand that the illustrated structure does not constitute a limitation of the apparatus, and may include more or less components than those illustrated, or combine some components, or arrange different components.
In one embodiment, as shown in fig. 5, there is provided an apparatus 500 for constructing a neuroblastoma model, comprising: an STL document acquisition module 502, a color information addition module 504, a document integration module 506, and a model printing module 508, wherein:
an STL document acquisition module 502, configured to acquire a first STL document and a second STL document; a first STL document is used to characterize information of a neuroblastoma; a second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
a color information adding module 504, configured to add pre-selected color information to the first STL document and the second STL document;
the document integration module 506 is configured to, if an integration instruction is received, perform integration processing on the first STL document and the second STL document that include the color information to obtain an overall STL document;
a model printing module 508, configured to print a colored integral model according to the integral STL document; the colored integral model is a model containing neuroblastoma and surrounding tissue.
In one embodiment, the color information adding module 504 is further configured to receive a first color selecting instruction, determine first color information corresponding to the first color selecting instruction, and add the first color information to the first STL document;
and receiving a second color selection instruction, determining second color information corresponding to the second color selection instruction, and adding the second color information to the second STL document.
In one embodiment, the model printing module 508 is further configured to print the transparent colored integral model from the integral STL document using a transparent material.
In one embodiment, the STL document acquisition module 502 includes: the CT data acquisition unit is used for acquiring original data obtained by CT scanning; raw data were used to characterize neuroblastoma and surrounding tissues; the three-dimensional reconstruction unit is used for performing three-dimensional reconstruction processing on the original data to obtain a three-dimensional image; a threshold segmentation unit for performing threshold segmentation on the three-dimensional image; and generating an STL document according to the three-dimensional image subjected to threshold segmentation to obtain a first STL document and a second STL document.
In one embodiment, the threshold segmentation unit is further configured to determine a first segmentation threshold of the neuroblastoma and a second segmentation threshold of the surrounding tissue according to a pre-imaging process; and performing threshold segmentation on the three-dimensional image according to the first segmentation threshold and the second segmentation threshold.
In an embodiment, the threshold segmentation unit is further configured to perform region growing modification processing on the first STL document and the second STL document to obtain a first STL document and a second STL document after the modification processing; and adding the pre-selected color information to the first STL document and the second STL document after the modification processing.
In one embodiment, the CT data acquisition unit is further configured to receive raw data sent by the CT scanning device; the original data is obtained by the CT scanning device according to the preset scanning parameters for enhanced scanning.
It should be noted that, the apparatus for constructing a neuroblastoma model of the present invention corresponds to the method for constructing a neuroblastoma model of the present invention one to one, and the technical features and the advantages thereof described in the above embodiments of the method for constructing a neuroblastoma model are all applicable to the embodiments of the apparatus for constructing a neuroblastoma model.
In addition, in the above-described exemplary embodiment of the apparatus for constructing a neuroblastoma model, the logical division of each program module is only an example, and in practical applications, the above-described function distribution may be performed by different program modules according to needs, for example, due to configuration requirements of corresponding hardware or due to convenience of implementation of software, that is, the internal structure of the apparatus for constructing a neuroblastoma model is divided into different program modules to perform all or part of the above-described functions.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the above described method embodiments when the processor executes the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the respective method embodiment as described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium and sold or used as a stand-alone product. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection component (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or (module) elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples are only illustrative of several embodiments of the present invention, but should not be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of constructing a neuroblastoma model, comprising:
acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
adding pre-selected color information to the first and second STL documents;
if an integration instruction is received, integrating the first STL document and the second STL document containing the color information to obtain an integral STL document;
printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue.
2. The method of claim 1, wherein the step of adding pre-selected color information to the first and second STL documents comprises:
receiving a first color selection instruction, determining first color information corresponding to the first color selection instruction, and adding the first color information to the first STL document;
and receiving a second color selection instruction, determining second color information corresponding to the second color selection instruction, and adding the second color information to the second STL document.
3. The method of claim 1, wherein said step of printing a colored monolithic model from said monolithic STL document comprises:
and printing the transparent colored integral model by using a transparent material according to the integral STL document.
4. The method of claim 1, further comprising, prior to the step of obtaining the first and second STL documents:
acquiring original data obtained by CT scanning; the raw data is used to characterize the neuroblastoma and the surrounding tissue;
performing three-dimensional reconstruction processing on the original data to obtain a three-dimensional image;
performing threshold segmentation on the three-dimensional image;
and generating an STL document according to the three-dimensional image subjected to threshold segmentation to obtain a first STL document and a second STL document.
5. The method of claim 4, wherein the step of thresholding the three-dimensional image comprises:
determining a first segmentation threshold for the neuroblastoma and a second segmentation threshold for the surrounding tissue based on a pre-imaging treatment;
and performing threshold segmentation on the three-dimensional image according to the first segmentation threshold and the second segmentation threshold.
6. The method of claim 4, wherein after the step of thresholding the three-dimensional image to obtain the first and second STL documents, further comprising:
performing modification processing of region growing on the first STL document and the second STL document to obtain a first STL document and a second STL document after modification processing;
the step of adding pre-selected color information to the first and second STL documents includes:
and adding the pre-selected color information to the first STL document and the second STL document after the modification processing.
7. The method of claim 4, wherein the step of acquiring raw data from a CT scan comprises:
receiving the original data sent by the CT scanning equipment; and the original data is obtained by performing enhanced scanning by the CT scanning equipment according to preset scanning parameters.
8. An apparatus for constructing a neuroblastoma model, comprising:
the STL document acquisition module is used for acquiring a first STL document and a second STL document; the first STL document is used to characterize information of a neuroblastoma; the second STL document is used to characterize information of surrounding tissue of the neuroblastoma;
a color information adding module for adding pre-selected color information to the first and second STL documents;
the document integration module is used for integrating the first STL document and the second STL document containing the color information to obtain an integral STL document if an integration instruction is received;
the model printing module is used for printing to obtain a colored integral model according to the integral STL document; the colored integral model is a model comprising the neuroblastoma and the surrounding tissue.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091347A (en) * | 2014-07-26 | 2014-10-08 | 刘宇清 | Intracranial tumor operation planning and simulating method based on 3D print technology |
| CN104462650A (en) * | 2014-11-10 | 2015-03-25 | 张建卿 | Materialized heart 3D model manufacturing method capable of achieving internal and external structures |
| CN105631930A (en) * | 2015-11-27 | 2016-06-01 | 广州聚普科技有限公司 | DTI (Diffusion Tensor Imaging)-based cranial nerve fiber bundle three-dimensional rebuilding method |
| US20170217102A1 (en) * | 2016-01-29 | 2017-08-03 | Siemens Medical Solutions Usa, Inc. | Multi-Modality Image Fusion for 3D Printing of Organ Morphology and Physiology |
| CN110164276A (en) * | 2019-01-25 | 2019-08-23 | 福建省立医院 | A kind of preparation method of cranial nerve model |
-
2019
- 2019-12-31 CN CN201911419637.3A patent/CN111179421B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091347A (en) * | 2014-07-26 | 2014-10-08 | 刘宇清 | Intracranial tumor operation planning and simulating method based on 3D print technology |
| CN104462650A (en) * | 2014-11-10 | 2015-03-25 | 张建卿 | Materialized heart 3D model manufacturing method capable of achieving internal and external structures |
| CN105631930A (en) * | 2015-11-27 | 2016-06-01 | 广州聚普科技有限公司 | DTI (Diffusion Tensor Imaging)-based cranial nerve fiber bundle three-dimensional rebuilding method |
| US20170217102A1 (en) * | 2016-01-29 | 2017-08-03 | Siemens Medical Solutions Usa, Inc. | Multi-Modality Image Fusion for 3D Printing of Organ Morphology and Physiology |
| CN110164276A (en) * | 2019-01-25 | 2019-08-23 | 福建省立医院 | A kind of preparation method of cranial nerve model |
Non-Patent Citations (1)
| Title |
|---|
| 刘宇清等: "3D打印技术在大脑镰旁脑膜瘤切除术中的初步应用", 《中国全科医学》, vol. 19, no. 24, pages 2953 - 2956 * |
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