CN106846318B - A kind of tumour Precise Position System for medical treatment - Google Patents

A kind of tumour Precise Position System for medical treatment Download PDF

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CN106846318B
CN106846318B CN201710170977.1A CN201710170977A CN106846318B CN 106846318 B CN106846318 B CN 106846318B CN 201710170977 A CN201710170977 A CN 201710170977A CN 106846318 B CN106846318 B CN 106846318B
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tumor
ddr
registration
module
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CN106846318A (en
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Nanjing Huaplastic Plastics Manufacturing Co.,Ltd.
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Nanjing Hansu Science And Technology Development Co Ltd
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    • 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
    • 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

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The present invention provides a kind of tumour Precise Position Systems for medical treatment, including DDR tumor image acquisition module, DR tumor image acquisition module, image registration module, tumor-localizing module；The DDR tumor image acquisition module is used to acquire the DDR image in the patient tumors region of the telltale mark point containing positioning patient tumors；The DR tumor image acquisition module is used to acquire the DR image in patient tumors region；Described image registration module is used to carry out image registration to the DDR image, DR image, obtains tumor-localizing parameter；The tumor-localizing module is used to relocate tumour according to the tumor-localizing parameter.The present invention can be realized the accurate positioning of tumour.

Description

A kind of tumour Precise Position System for medical treatment
Technical field
The present invention relates to field of medical technology, and in particular to a kind of tumour Precise Position System for medical treatment.
Background technique
Since tumour is located in body mostly, it is still difficult point place for tumour accurate positioning.Due to body table The skin in face is easy movement, and therefore, carrying out positioning only by skin surface is that there are bigger errors.The relevant technologies In, usually external devices are fixed on body and are positioned, but in this way can be greatly painful to sufferer band.Since patient is clapping After CT image carries out tumor-localizing, treatment system usually formulates treatment plan according to the position of the CT image tumour, but usually exists It claps CT image and formally upper therapeutic bed is treated for some time, again after upper therapeutic bed, body position all can some changes Change, it is impossible to which just the same with position when clapping CT image, accordingly, there exist bigger position errors.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of tumour Precise Position System for medical treatment.
The purpose of the present invention is realized using following technical scheme:
Provide a kind of tumour Precise Position System for medical treatment, including DDR tumor image acquisition module, DR tumour figure As acquisition module, image registration module, tumor-localizing module；The DDR tumor image acquisition module is for acquiring containing positioning The DDR image in the patient tumors region of the telltale mark point of patient tumors；The DR tumor image acquisition module is suffered from for acquiring The DR image of person's tumor region；Described image registration module is used to carry out image registration to the DDR image, DR image, obtains Tumor-localizing parameter；The tumor-localizing module is used to relocate tumour according to the tumor-localizing parameter.
The invention has the benefit that realizing the accurate positioning of tumour using image registration techniques.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings Other attached drawings.
Structure connection block diagram Fig. 1 of the invention；
Fig. 2 is the work flow diagram of DR tumor image acquisition module of the present invention.
Appended drawing reference:
DDR tumor image acquisition module 1, DR tumor image acquisition module 2, image registration module 3, tumor-localizing module 4.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the tumour Precise Position System provided in this embodiment for medical treatment includes DDR tumor image acquisition mould Block 1, DR tumor image acquisition module 2, image registration module 3, tumor-localizing module 4；The DDR tumor image acquisition module 1 For acquiring the DDR image in the patient tumors region of telltale mark point for containing positioning patient tumors；The DR tumor image is adopted Collection module 2 is used to acquire the DR image in patient tumors region；Described image registration module 3 is used for the DDR image, DR image Image registration is carried out, tumor-localizing parameter is obtained；The tumor-localizing module 4 is used for according to the tumor-localizing parameter to tumour It relocates.
Preferably, the DDR image in the patient tumors region of telltale mark point of the acquisition containing positioning patient tumors, packet It includes: acquiring the CT image of patient, DDR image is generated according to the CT image reconstruction of patient.
Preferably, the DR image in the acquisition patient tumors region, comprising: patient tumors region is shot from different perspectives, Obtain multiple DR images.
The above embodiment of the present invention uses image registration techniques, realizes the accurate positioning of tumour.
Preferably, referring to fig. 2, the acquisition contains the patient tumors region of the telltale mark point of positioning patient tumors DDR image, further includes: using customized screening function from multiple preferable CT images of CT optical sieving mass, for weight It builds and generates DDR image: the wherein customized screening function are as follows:
Q={ Qi,Qi> 0, i=1 ..., m }
Wherein
In formula, Q is the target image set after screening, ZiFor the average gray value of i-th image in multiple images, m is to adopt The quantity of the image of collection, WiFor the edge sharpness of i-th image in multiple images, W is that the edge that is set according to actual conditions is sharp Threshold value is spent, whenWhen,When,
CT image after screening is used to rebuild generation DDR image by this preferred embodiment, can be improved the DDR figure of generation The quality degree of picture lays the foundation to realize that tumour accurately positions.
Preferably, image registration is carried out to the DDR image, DR image, comprising:
(1) DDR image is chosen as reference picture S0, DR image calculates separately reference picture S as image S subject to registration0 With the Arimoto entropy of the entropy diagram picture of image S subject to registrationVS, define the calculation formula of Arimoto entropy are as follows:
In formula, VS(x,y)Indicate the Arimoto entropy of the entropy diagram picture of image S (x, y), U1、U2For the adjustment parameter of setting, and U1 >0,U1≠ 1, c (i, j) are the image block centered on pixel (x, y), having a size of n × n, and wherein n is odd number,J [c (i, j)] indicates the gray level of image block c (i, j), nkIt is The frequency that k-th of gray level occurs, A are total pixel of image block c (i, j)；
(2) it is based on differomorphism Demons algorithm, regards the registration of image as a gas diffusion process, gives iteration The initial value Ψ of displacement field0, displacement field is updated by following iterative formula:
In formula, GδFor Gaussian filter, δ indicates the mean square deviation of Gaussian filter kernel function, and * indicates convolution operation, ΨkTable Show displacement field when kth walks iteration, Ψk-1Indicate displacement field when -1 step iteration of kth, PSIndicate the gray scale of image S subject to registration Value,Indicate the gray value of reference picture,Indicate the gradient of reference picture；
(3) constantly iteration updates displacement field, if meeting the stop condition of the objective function of differomorphism Demons algorithm, jumps Circulation obtains final mean annual increment movement field Ψ out, otherwise continues to update displacement field, until reaching maximum number of iterations；
(4) using final mean annual increment movement field Ψ as the optimal transformation between image subject to registration, reference picture S is completed0With figure subject to registration The registration of picture.
In this preferred embodiment, carries out stating DDR image, DR image registration using aforesaid way, reduce gray scale between image Difference is influenced caused by registration result, improves the precision of image registration, to be advantageously implemented high-precision tumor-localizing.
Preferably, to realize more optimized image registration effect, the objective function of differomorphism Demons algorithm is carried out Optimization introduces regularization term and gradient distribution distance terms, the objective function after definition optimization in objective function are as follows:
The stop condition of objective function are as follows:
In formula,For the regularization term of introducing, B1、B2For weight factor, ξ (Ψk) it is displacement field Ψk Jacobian, M indicates the number of pixels of lap between reference picture and image subject to registration,It indicates to use Displacement field ΨkDeformation is carried out to the entropy diagram picture of image subject to registration；For introducing gradient distribution away from From item, α is the sample point in image gradient,Indicate the gradient distribution of image S subject to registration,Indicate reference picture Gradient distribution.
In this preferred embodiment, it is contemplated that the rough problem in spatial information and registration between pixel, it is same to differential The objective function of embryo Demons algorithm optimizes, and regularization term and gradient distribution distance terms is introduced in objective function, then Optimal solution is sought using the objective function of the differomorphism Demons algorithm after optimization, relative to traditional differomorphism Demons Algorithm can obtain higher registration accuracy, so as to obtain the tumor-localizing effect of degree of precision.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention Matter and range.

Claims (2)

1. a kind of tumour Precise Position System for medical treatment, characterized in that including DDR tumor image acquisition module, DR tumour Image capture module, image registration module, tumor-localizing module；The DDR tumor image acquisition module is for acquiring containing fixed The DDR image in the patient tumors region of the telltale mark point of position patient tumors；The DR tumor image acquisition module is for acquiring The DR image in patient tumors region；Described image registration module is used to carry out image registration to the DDR image, DR image, obtains Take tumor-localizing parameter；The tumor-localizing module is used to relocate tumour according to the tumor-localizing parameter；It is described to adopt Collection containing positioning patient tumors telltale mark point patient tumors region DDR image, comprising: acquire patient CT image, DDR image is generated according to the CT image reconstruction of patient；The DR image in the acquisition patient tumors region, comprising: from different perspectives Patient tumors region is shot, multiple DR images are obtained；The patient of telltale mark point of the acquisition containing positioning patient tumors is swollen The DDR image in tumor region, further includes: schemed using customized screening function from the preferable CT of multiple CT optical sieving mass Picture generates DDR image for rebuilding；The customized screening function are as follows:
Q={ Qi,Qi> 0, i=1 ..., m }
Wherein
In formula, Q is the target image set after screening, ZiFor the average gray value of i-th image in multiple images, m is the figure of acquisition The quantity of picture, WiFor the edge sharpness of i-th image in multiple images, W is the edge sharpness threshold value set according to actual conditions, WhenWhen,When,
2. a kind of tumour Precise Position System for medical treatment according to claim 1, characterized in that scheme to the DDR Picture, DR image carry out image registration, comprising:
(1) DDR image is chosen as reference picture S0, DR image calculates separately reference picture S as image S subject to registration0With to It is registrated the Arimoto entropy of the entropy diagram picture of image SVS, define the calculation formula of Arimoto entropy are as follows:
In formula, VS(x,y)Indicate the Arimoto entropy of the entropy diagram picture of image S (x, y), U1、U2For the adjustment parameter of setting, and U1>0,U1 ≠ 1, c (i, j) are the image block centered on pixel (x, y), having a size of n × n, and wherein n is odd number,J [c (i, j)] indicates the gray level of image block c (i, j), nkIt is The frequency that k-th of gray level occurs, A are total pixel of image block c (i, j)；
(2) it is based on differomorphism Demons algorithm, regards the registration of image as a gas diffusion process, gives the displacement of iteration The initial value Ψ of field0, displacement field is updated by following iterative formula:
In formula, GδFor Gaussian filter, δ indicates the mean square deviation of Gaussian filter kernel function, and * indicates convolution operation, ΨkIndicate kth Walk displacement field when iteration, Ψk-1Indicate displacement field when -1 step iteration of kth, PSIndicate the gray value of image S subject to registration, Indicate the gray value of reference picture,Indicate the gradient of reference picture；
(3) constantly iteration update displacement field is jumped out and is followed if meeting the stop condition of the objective function of differomorphism Demons algorithm Ring obtains final mean annual increment movement field Ψ, otherwise continues to update displacement field, until reaching maximum number of iterations；
(4) using final mean annual increment movement field Ψ as the optimal transformation between image subject to registration, reference picture S is completed0With matching for image subject to registration It is quasi-.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102670237A (en) * 2012-05-17 2012-09-19 西安一体医疗科技有限公司 Gamma radiation positioning method and system
CN102697561A (en) * 2012-05-17 2012-10-03 深圳市一体医疗科技股份有限公司 Non-invasive in-vitro tumor positioning system and method by fixing mark points
CN104182975A (en) * 2014-08-11 2014-12-03 福州瑞芯微电子有限公司 Photographing device and method capable of automatically filtering picture with poor effect

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160275237A1 (en) * 2015-03-18 2016-09-22 Shimadzu Corporation Amino acid sequence analyzing method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102670237A (en) * 2012-05-17 2012-09-19 西安一体医疗科技有限公司 Gamma radiation positioning method and system
CN102697561A (en) * 2012-05-17 2012-10-03 深圳市一体医疗科技股份有限公司 Non-invasive in-vitro tumor positioning system and method by fixing mark points
CN104182975A (en) * 2014-08-11 2014-12-03 福州瑞芯微电子有限公司 Photographing device and method capable of automatically filtering picture with poor effect

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
"基于结构图像表示和微分同胚Demons算法的多模态医学图像配准";李碧草等;《东南大学学报（自然科学版）》;20150930(第5期);期刊前言，第1-2节

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