CN105469366B - A kind of analytic method of abatement CT image metal artifacts - Google Patents

A kind of analytic method of abatement CT image metal artifacts Download PDF

Info

Publication number
CN105469366B
CN105469366B CN201510808114.3A CN201510808114A CN105469366B CN 105469366 B CN105469366 B CN 105469366B CN 201510808114 A CN201510808114 A CN 201510808114A CN 105469366 B CN105469366 B CN 105469366B
Authority
CN
China
Prior art keywords
image
metal
projection
data
artifacts
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.)
Active
Application number
CN201510808114.3A
Other languages
Chinese (zh)
Other versions
CN105469366A (en
Inventor
陈明
李刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong University of Science and Technology
Original Assignee
Shandong University of Science and Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shandong University of Science and Technology filed Critical Shandong University of Science and Technology
Priority to CN201510808114.3A priority Critical patent/CN105469366B/en
Publication of CN105469366A publication Critical patent/CN105469366A/en
Application granted granted Critical
Publication of CN105469366B publication Critical patent/CN105469366B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10081Computed x-ray tomography [CT]

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

A kind of analytic method for abatement CT image metal artifacts that the present invention provides, this method avoid interative computations.The present invention includes being partitioned into metal image in the image that data for projection is rebuild in the case of by multi-power spectrum ray, seek its projected image, find the approximation of energy spectrum function, obtain the expression formula of artifact function, artifacts are obtained, it is as shown in the picture that the image after artifacts are corrected is subtracted by original image.It is a feature of the present invention that remaining the structure feature of original information while eliminating banding artifact, and the priori of power spectrum and original data for projection are not needed in bearing calibration, it is fast to rebuild speed.

Description

A kind of analytic method of abatement CT image metal artifacts
Technical field
The invention mainly relates to medical X-ray Computed tomographies(Computed Tomography, abbreviation CT) Field is specifically related in medicine CT detection imaging, when detected human body a part(Such as oral cavity, thoracic cavity etc.)Implantation When metal object, there are metal artifacts situations for the CT images of reconstruction.
Background technology
CT detects the acquisition object faultage image that imaging technique can be lossless, and being played in medicine auxiliary diagnosis can not replace In the ideal case, the data for projection that the scanning system of CT equipment measures is substance linear attenuation coefficient to the important function in generation The reconstructing system of line integral, CT equipment carries out image reconstruction with the line integral data, and acquisition can be used for what clinical diagnosis used CT images however in practical CT scan, the data for projection that system obtains generally comprises various errors, such as metal object causes Error, this can lead to occur artifact in reconstruction image, reduce picture quality, seriously affect the metal in diagnostic result human bodies Implantation material usually has intraoral tooth filling, in vivo operation folder and joint prosthesis etc., these metal objects have highly attenuating property, When directly reconstructing CT images by data for projection, radial or banding artifact etc. is will appear in reconstruction image, is generally called gold Belong to artifact
The case where being frequently encountered in actual CT scan comprising metal object, such as oral cavity CT scan is because of metal artifacts Complex genesis, and the material of metal and geomery can directly result in metal artifacts in image power it is different with distribution, Although therefore having some data and patent about metal artifacts school removing method at present, still without a kind of more common Elimination or abatement metal artifacts the metal artifacts reduction softwares for orthopaedics released even for Philip of method, A variety of situations can not also be provided with satisfactory correction result therefore, research and develop some blanket metal artifacts abatements Method have very important significance for Medical CT system
Metal artifacts reduction (Metal artifact reduction, MAR) algorithm is broadly divided into interpolation method, projection school Just, the methods of iterative approximation, the bearing calibration based on prior image and composed correction also have many metal artifacts schools in recent years The patent of positive aspect, such as:
It is disclosed by the Chinese patent CN103190928A of Siemens application a kind of for reducing CT picture numbers According to method this method of metal artifacts in group by first CT image data set of the reconstruction through metal artifacts reduction and without gold Belong to the 2nd CT image data sets of artifact correction, and the such as data weighting method are utilized
The Chinese patent CN103186889A applied by GE companies of the U.S. discloses a kind of for reducing in medical image Method and apparatus this method of metal artifacts consider same tomography and meanwhile comprising have various sizes of big metal object and The artifact that small metal object generates handles big metal object and small metal object in same faultage image and generates in different ways Artifact
Chinese patent CN103679642A discloses a kind of CT image metal artifacts bearing calibration, device and CT equipment, should Method determines metal shadowing's range caused by objects interfered according to the corresponding original image of Raw projection data, is then based on successively Metal shadowing's data within the scope of metal shadowing obtain the diagnosis Object Projection data after removing objects interfered and establish illustraton of model Picture;Secondary correction, reconstruction are carried out to the Raw projection data further according to the data for projection of model image, it is pseudo- to obtain no metal The target image of shadow
Chinese patent CN103745440A discloses a kind of CT system metal artifacts reduction method, and basis is initial in this method Change parameter and create the coefficient matrix of the CT system, based on the system matrix computation CT image reconstructions during object decline Subtract coefficient f, object attenuation coefficient f described in re-optimization realizes the metal artifacts reduction to CT system
Chinese patent CN103440636A discloses a kind of metal artifacts removing method of CT system, and this method passes through a system Column data processing operation obtains new CT scan data, and then reconstruction image simultaneously becomes high pressure and low pressure CT scan again It changes, to realize the reduction of calculation amount
Above-mentioned technology has been related to various metals artifact correction method, but all no method and algorithm are related to metal artifacts Analytical Expression The present invention gives it is a kind of it is effective removal CT image metal artifacts analytic method, avoid iteration meter It calculates, saves reconstruction time.
Invention content
Present invention is generally directed to metal artifacts problems common in Medical CT, it is proposed that a kind of effective removal metal The analytic method of artifact
The invention is realized by the following technical scheme:
Cut down CT image metal artifacts analytic method, include mainly:CT scan system obtains detected object firstf (x) data for projection, then by CT reconstructing systems carry out image reconstruction, metal object is partitioned into from reconstruction image, then to metal Object carries out reprojection, handles the data for projection, then rebuild to obtain artifacts, is finally subtracted from original image Artifacts obtain target image, that is, the image after correcting while eliminating banding artifact it is characterized in that, remain original There is the structure feature of information;The priori of X-ray energy spectrum and original data for projection are not needed in bearing calibration
Obtain the data for projection of the detection objectP, this data is obtained in multi-power spectrum ray;
Obtain the CT imagesP, from data for projection CT image reconstructionf E ,EIt is the energy parameter of ray;
The metal object image is obtained, Threshold segmentation is passed through(The threshold value generally used is 3000HU)Or level set side Method goes out the image of metal object from the CT image segmentations of reconstruction;
The data for projection for obtaining the image of the metal object obtains its data for projection using projection matrix, i.e., it Radon converts R Ψmetal
The metal artifacts image is obtained, the approximate function of power spectrum is designedASin (ω (E+)), the artifact table of proposition Up to formulaK=R -1 (P-Rf E0)=-R -1(ln(π2cosh(ρRΨmetal)/(π2+4ρ2(RΨmetal)2))) to handling data R Ψmetal, Then it is rebuild, obtains the approximate image of artifactK,f E0It assumes that in some energyE 0Under object function, ρ is parameter, ΨmetalIt is the characteristic function of metallic region;
It is the image after correcting to obtain the target imagef E0, former reconstruction imagef E Subtract artifactsK(x) obtainf E0.
The present invention relates to a kind of method of new abatement CT image metal artifacts, this method directly obtains image artifacts Image, compared with previous metal artifacts reduction method, beneficial effects of the present invention have largely effective:(1)Eliminate band-like puppet The structure feature of original information is remained while shadow;(2)Priori without ray energy spectrum;(3)It is not necessarily in bearing calibration Original data for projection;(4)Using analytic reconstruction method, it is fast to rebuild speed.
Description of the drawings
Fig. 1 is the improved two-dimentional lower jaw Voxel Phantom used in embodiment;
Fig. 2 is the original image rebuild;
Fig. 3 is the artifacts rebuild;
Fig. 4 is the CT images after correction.
Specific implementation mode
Invention broadly provides a kind of methods of abatement CT image metal artifacts, including obtain data for projection, image weight It builds, divide metal objects, reprojection, data processing, artifacts are rebuild and the image targets after being corrected are cancellation band Shape artifact retains the structure feature of original information, obtains high-resolution CT images, more accurate information is provided for clinical diagnosis Embodiments of the present invention:The data for projection under multi-power spectrum is obtained first and carries out image reconstruction;Then image segmentation is carried out to obtain To the image of metal objects, and its Radon is asked to convert;Data are converted by the analytic method of proposition to the Radon to handle, And treated data are rebuild, obtain artifacts;The CT images after artifacts are corrected are subtracted by original image;Finally Embodiment is provided to be as follows:
(1) original CT image is obtained
The data for projection obtained under multi-power spectrum X-ray is scanned to detected object, with FBP algorithms or BPF algorithms Reconstructed projection data obtains original CT image, and metal artifacts is contained in the image
(2) data for projection of metal image is obtained
Image segmentation usually is carried out to original image using threshold method, obtains metal image, the threshold generally used herein Value is 3000HU;Then the data for projection of metal image is obtained again
(3) artifacts are obtained
The approximation for first looking for energy spectrum function provides the approximate expression of artifact function, obtains determining artifact function Since energy spectrum diagram is unknown in practical CT scan system, therefore approximate function, the approximation energy can only be found according to its common characteristic The function of spectrum should meet:Integral is 1. for example in energy range:Approximate function can select rectangular function, SIN function, Cosine function or other approximate function are according to the feature of energy spectrum diagram, and SIN function is close to energy spectrum function by being designed with Related parameter can obtain the approximate expression of artifact functionK=R -1 (P-Rf E0) by the expression formula to the projection in step 2 Data are handled;Then Radon inverse transformations are asked, are realized here with FBP or BPF algorithms, to obtain artifacts Wherein there is related parameter that can seek its optimal solution using certain regularization methods
(4) the CT images after being corrected
The CT images after artifacts are corrected in step 3 is subtracted by the original image in step 1
(5) embodiment
The present embodiment selection is improved two-dimentional lower jaw Voxel Phantom, including 512 × 512 pixels, the ruler of each pixel Very little is 0.5mm × 0.5mm, and sclerotin ingredient and soft tissue in the as shown in Figure 1 body moulds etc. are all in accordance with No. ICRU44 report ginseng Number setting, their x-ray attenuation coefficient is obtained by XCOM softwares, and implants 3 mercury alloy object
The example is using we used the related systems of multi-power spectrum X-ray in body mould generation artificial projections data emulation Parameter is as follows:X radiographic sources are 1100mm with rotation center distance, and X radiographic sources and detector distance are 1600mm, detector list The length of member is the data for projection that 0.87. generates the die body using the equidistant fan beam CT scan pattern of Circular test, wherein detector Unit number is that 512,360 degree of full scan projection angle numbers are 660.
Image is directly reconstructed by data for projection according to step 1 in embodiment, there are the obviously artifacts such as band-like in figure, seriously Influence clinical diagnosis, as shown in Figure 2
According to step 2 in above embodiment, selected threshold 3000HU is split the image in Fig. 2, then profit It is converted with Radon and obtains its data for projection
It is 0.01-1.2Kev to choose voltage range according to step 3 in above embodiment, in the example, and simulation process makes With normalization energy spectrum diagram choose power spectrum approximate function π sin (π (E-E0+h)/(2h))/(4h), whereinE0 is some energy Amount, h is an adjustable parameter;In this exampleE0=0.65Kev,h=0.55Kev. is according to artifact expression formula-R -1(ln(π2cosh(ρRΨmetal)/(π2+4ρ2(RΨmetal)2))) to obtain artifacts as shown in Figure 3, it can be seen that the figure is band in Fig. 2 The presentation of shape artifact, wherein the parameter optimized chooses ρ=2.31.
According to step 4 in the above embodiment, original reconstruction image subtracts the image after artifacts are corrected, and such as schemes Shown in 4.

Claims (3)

1. a kind of analytic method of abatement CT image metal artifacts, which is characterized in that include the following steps:
(1) the data for projection P for obtaining detected object carries out image reconstruction by CT reconstructing systems, obtains original CT image fE, E is The energy parameter of ray;
(2) it is partitioned into the image of metal object from reconstruction image, reprojection is carried out to the image of metal object, obtains metal object image Data for projection;
(3) data for projection of metal object image is handled, then is rebuild to obtain artifacts:
With the approximate function that SIN function A sin (ω (E+ ψ)) are X-ray energy spectrum, pass through the approximate expression pair of artifact function The data for projection of metal object image is handled, and is then rebuild, and the approximate image K of artifact is obtained,
The approximate expression of the artifact function is:
Wherein:R is Radon transformation;R-1It is inverse Radon transform;It assumes that in some ENERGY E0Under object function;Ψmetal It indicates the characteristic function of metallic region, is 1 in region, other are 0;ρ is the parameter calculated using regularization method;
(4) with step (1) the original CT image fESubtract the approximate image K of step (3) artifact, you can the CT after being corrected Image.
2. the analytic method of abatement CT image metal artifacts according to claim 1, it is characterised in that:From multi-power spectrum ray The data for projection of acquisition carries out image reconstruction by FBP algorithms or BPF algorithms, which contains metal artifacts.
3. the analytic method of abatement CT image metal artifacts according to claim 1, it is characterised in that:Utilize threshold method It is partitioned into metal image from reconstruction image, and finds out the data for projection of metal image using projection matrix.
CN201510808114.3A 2015-11-23 2015-11-23 A kind of analytic method of abatement CT image metal artifacts Active CN105469366B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510808114.3A CN105469366B (en) 2015-11-23 2015-11-23 A kind of analytic method of abatement CT image metal artifacts

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510808114.3A CN105469366B (en) 2015-11-23 2015-11-23 A kind of analytic method of abatement CT image metal artifacts

Publications (2)

Publication Number Publication Date
CN105469366A CN105469366A (en) 2016-04-06
CN105469366B true CN105469366B (en) 2018-09-04

Family

ID=55607027

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510808114.3A Active CN105469366B (en) 2015-11-23 2015-11-23 A kind of analytic method of abatement CT image metal artifacts

Country Status (1)

Country Link
CN (1) CN105469366B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017221339A (en) * 2016-06-14 2017-12-21 国立大学法人信州大学 X-ray CT image reconstruction method and computer program
CN106485680B (en) * 2016-10-13 2017-11-28 上海联影医疗科技有限公司 Method for correcting image and device
EP3398515B1 (en) * 2017-05-03 2020-06-24 Siemens Healthcare GmbH Adaptive method for generating of ct image data with reduced artefacts, as well as image reconstruction unit and corresponding computer program product.
EP3582184B1 (en) * 2018-06-13 2021-11-03 Siemens Healthcare GmbH Multi-energy metal artefact reduction
CN109146994B (en) * 2018-09-17 2023-06-20 南京航空航天大学 Metal artifact correction method for multi-energy spectrum X-ray CT imaging
CN111110260B (en) * 2019-12-24 2023-09-26 沈阳先进医疗设备技术孵化中心有限公司 Image reconstruction method and device and terminal equipment
CN111415315B (en) * 2020-03-17 2023-09-26 无锡鸣石峻致医疗科技有限公司 Radial acquisition diffusion weighted imaging motion artifact correction method
WO2023178527A1 (en) * 2022-03-22 2023-09-28 中国科学院深圳先进技术研究院 Generation method and generation apparatus for tumor radiotherapy region

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101777177A (en) * 2009-12-29 2010-07-14 上海维宏电子科技有限公司 Attenuation filter-based metal artifact removing mixed reconstruction method for CT images
CN102567958A (en) * 2010-12-31 2012-07-11 东软飞利浦医疗设备系统有限责任公司 Image postprocessing method for removing metal artifact from computed tomography (CT) image

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7362843B2 (en) * 2004-09-23 2008-04-22 General Electric Company System and method for reconstruction of cone beam tomographic projections with missing data
US7672421B2 (en) * 2005-10-12 2010-03-02 Siemens Medical Solutions Usa, Inc. Reduction of streak artifacts in low dose CT imaging through multi image compounding
US8971605B2 (en) * 2012-08-23 2015-03-03 General Electric Company System and method for correcting for metal artifacts using multi-energy computed tomography

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101777177A (en) * 2009-12-29 2010-07-14 上海维宏电子科技有限公司 Attenuation filter-based metal artifact removing mixed reconstruction method for CT images
CN102567958A (en) * 2010-12-31 2012-07-11 东软飞利浦医疗设备系统有限责任公司 Image postprocessing method for removing metal artifact from computed tomography (CT) image

Also Published As

Publication number Publication date
CN105469366A (en) 2016-04-06

Similar Documents

Publication Publication Date Title
CN105469366B (en) A kind of analytic method of abatement CT image metal artifacts
US20060159223A1 (en) Method and apparatus for correcting for beam hardening in CT images
US8023767B1 (en) Method and apparatus for 3D metal and high-density artifact correction for cone-beam and fan-beam CT imaging
JP6301081B2 (en) X-ray computed tomography apparatus, image reconstruction method, and structure of reconstruction filter
US7860341B2 (en) System and method for correcting for ring artifacts in an image
Van Slambrouck et al. Metal artifact reduction in computed tomography using local models in an image block‐iterative scheme
Wei et al. X-ray CT high-density artefact suppression in the presence of bones
Joemai et al. Metal artifact reduction for CT: Development, implementation, and clinical comparison of a generic and a scanner‐specific technique
Heußer et al. Prior‐based artifact correction (PBAC) in computed tomography
CN110811660B (en) Method for correcting CT ray beam hardening artifact
US20120308100A1 (en) Method and system for reconstruction of tomographic images
CN108338802B (en) Method for reducing image artifacts
Byl et al. Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT
CN105528800A (en) Computer tomography imaging pseudo shadow correction method and device
Wu et al. Iterative CT shading correction with no prior information
CN110458762A (en) A kind of CT image beam hardening artifact correction system based on adjustable double factor
Xia et al. Patient‐bounded extrapolation using low‐dose priors for volume‐of‐interest imaging in C‐arm CT
Bayaraa et al. A two-stage approach for beam hardening artifact reduction in low-dose dental CBCT
CN112656438B (en) Low-dose CT projection domain denoising and reconstructing method based on curved surface total variation
CN110574073B (en) Detection and/or correction of residual iodine artifacts in spectral Computed Tomography (CT) imaging
JP4584550B2 (en) X-ray measuring device
US20060251313A1 (en) Method of producing a cross-sectional image
CN100365664C (en) CT projection data beam hardening effect correcting method based on IIL consistency condition
Shi et al. Reduce beam hardening artifacts of polychromatic X-ray computed tomography by an iterative approximation approach
CN111127477B (en) CT polychromatic spectrum voxel simulation method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant