Metal artifact reduction in x-ray computed tomography (CT) by constrained optimization
Purpose: The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization. Methods: After the shape and location of...
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| Published in | Medical physics (Lancaster) Vol. 38; no. 2; pp. 701 - 711 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
American Association of Physicists in Medicine
01.02.2011
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0094-2405 2473-4209 0094-2405 |
| DOI | 10.1118/1.3533711 |
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| Abstract | Purpose:
The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization.
Methods:
After the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of “metal shadows” in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflectsa priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective.
Results:
The study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images.
Conclusions:
Constrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general “missing data” image reconstruction problems. |
|---|---|
| AbstractList | Purpose:
The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization.
Methods:
After the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of “metal shadows” in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflectsa priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective.
Results:
The study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images.
Conclusions:
Constrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general “missing data” image reconstruction problems. Purpose: The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization. Methods: After the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of "metal shadows" in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflects a priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective. Results: The study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images. Conclusions: Constrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general "missing data" image reconstruction problems. The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization. After the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of "metal shadows" in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflects a priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective. The study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images. Constrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general "missing data" image reconstruction problems. The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization.PURPOSEThe streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization.After the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of "metal shadows" in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflects a priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective.METHODSAfter the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of "metal shadows" in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflects a priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective.The study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images.RESULTSThe study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images.Constrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general "missing data" image reconstruction problems.CONCLUSIONSConstrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general "missing data" image reconstruction problems. Purpose: The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors propose an iterative metal artifact reduction algorithm based on constrained optimization. Methods: After the shape and location of metal objects in the image domain is determined automatically by the binary metal identification algorithm and the segmentation of ''metal shadows'' in projection domain is done, constrained optimization is used for image reconstruction. It minimizes a predefined function that reflects a priori knowledge of the image, subject to the constraint that the estimated projection data are within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The minimization problem is solved through the alternation of projection-onto-convex-sets and the steepest gradient descent of the objective function. The constrained optimization algorithm is evaluated with a penalized smoothness objective. Results: The study shows that the proposed method is capable of significantly reducing metal artifacts, suppressing noise, and improving soft-tissue visibility. It outperforms the FBP-type methods and ART and EM methods and yields artifacts-free images. Conclusions: Constrained optimization is an effective way to deal with CT reconstruction with embedded metal objects. Although the method is presented in the context of metal artifacts, it is applicable to general ''missing data'' image reconstruction problems. |
| Author | Zhang, Xiaomeng Wang, Jing Xing, Lei |
| Author_xml | – sequence: 1 givenname: Xiaomeng surname: Zhang fullname: Zhang, Xiaomeng organization: Department of Electrical Engineering, Stanford University, Stanford, California 94305 and Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305 – sequence: 2 givenname: Jing surname: Wang fullname: Wang, Jing organization: Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305 – sequence: 3 givenname: Lei surname: Xing fullname: Xing, Lei email: lei@stanford.edu organization: Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305 |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21452707$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/22096907$$D View this record in Osti.gov |
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| Cites_doi | 10.1097/01.rli.0000086495.96457.54 10.1118/1.3036112 10.1088/0031-9155/43/4/003 10.1109/34.56205 10.1109/TIT.2005.862083 10.1109/42.897816 10.1120/jacmp.v8i3.2268 10.1097/00004728-199703000-00024 10.1109/TNS.2004.834824 10.1002/cpa.20124 10.1109/TMI.2006.875429 10.1109/42.896783 10.1109/42.538943 10.1109/78.193196 10.1016/0360-3016(87)90327-0 10.1088/0031-9155/53/17/021 10.1017/S1431927699000057 10.1109/TMI.2006.882141 10.1118/1.3505294 10.1118/1.1509443 10.1109/42.293921 10.1088/0031-9155/53/12/018 10.3928/0147-7447-19901201-06 10.1088/0031‐9155/43/4/003 10.1016/0360‐3016(87)90327‐0 10.1148/radiology.164.2.3602406 10.1088/0031‐9155/53/12/018 10.1117/12.844294 10.1097/00004728‐199703000‐00024 10.1017/CBO9780511804441 10.1088/0031‐9155/53/17/021 |
| ContentType | Journal Article |
| Copyright | American Association of Physicists in Medicine 2011 American Association of Physicists in Medicine Copyright © 2011 American Association of Physicists in Medicine 2011 American Association of Physicists in Medicine |
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| Keywords | computed tomography metal artifact image reconstruction optimization |
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| References | Fessler (c20) 1994; 13 Wang, Lu, Liang, Eremina, Zhang, Wang, Chen, Manzione (c23) 2008; 53 Candès, Romberg, Tao (c29) 2006; 59 Srinivasa, Ramakrishnan, Rajgopal (c2) 1997; 14 Wang, Li, Lu, Liang (c21) 2006; 25 Feigenberg, Paskalev, McNeeley, Horwitz, Konski, Wang, Ma, Pollack (c15) 2007; 8 Ling (c9) 1987; 13 Meng, Wang, Xing (c18) 2010; 37 Kalender, Hebel, Ebersberger (c12) 1987; 164 Lewitt, Bates (c14) 1978; 50 La Riviere, Brian, Vargas (c26) 2006; 25 Mahnken, Raupach, Wildberger, Jung, Heussen, Flohr, Günther, Schaller (c1) 2003; 38 Williamson, Whiting, Benac, Murphy, Blaine, O’Sullivan, Politte, Snyder (c7) 2002; 29 Robertson (c5) 1997; 21 Wang (c4) 1996; 15 Ebraheim (c8) 1990; 13 Klotz, Kalender, Sokiranski, Felsenberg (c13) 1990; 1234 Li, Li, Wang, Wen, Lu, Hsieh, Liang (c22) 2004; 51 Nuyts, De Man, Dupont (c6) 1998; 43 Sidky, Pan (c19) 2008; 53 Sauer, Bouman (c24) 1993; 41 Perona, Malik (c27) 1990; 12 Zhao, Robertson, Wang (c3) 2000; 19 Toft (c11) 1996; 3 Sukovic, Clinthorne (c25) 2000; 19 Wang, Xing (c17) 2010; 7622 Wang, Li, Xing (c16) 2009; 36 Wang (c10) 1999; 5 Candes, Romberg, Tao (c28) 2006; 52 Perona, P.; Malik, J. 1990; 12 Meng, B.; Wang, J.; Xing, L. 2010; 37 Wang, G. 1996; 15 Ling, C. 1987; 13 Klotz, E.; Kalender, W.; Sokiranski, R.; Felsenberg, D. 1990; 1234 Toft, P. 1996; 3 Li, T.; Li, X.; Wang, J.; Wen, J.; Lu, H.; Hsieh, J.; Liang, Z. 2004; 51 Ebraheim, N. 1990; 13 Kalender, W.; Hebel, R.; Ebersberger, J. 1987; 164 La Riviere, P.; Brian, J.; Vargas, P. 2006; 25 Wang, J.; Xing, L. 2010; 7622 Nuyts, J.; De Man, B.; Dupont, P. 1998; 43 Zhao, S.; Robertson, D.; Wang, G. 2000; 19 Fessler, J. 1994; 13 Srinivasa, N.; Ramakrishnan, K.; Rajgopal, K. 1997; 14 Feigenberg, S.; Paskalev, K.; McNeeley, S.; Horwitz, E.; Konski, A.; Wang, L.; Ma, C.; Pollack, A. 2007; 8 Candès, E.; Romberg, J.; Tao, T. 2006; 59 Sukovic, P.; Clinthorne, N. 2000; 19 Robertson, D. 1997; 21 Lewitt, R.; Bates, R. 1978; 50 Wang, J.; Li, T.; Lu, H.; Liang, Z. 2006; 25 Sidky, E.; Pan, X. 2008; 53 Candes, E.; Romberg, J.; Tao, T. 2006; 52 Wang, J.; Li, T.; Xing, L. 2009; 36 Sauer, K.; Bouman, C. 1993; 41 Mahnken, A.; Raupach, R.; Wildberger, J.; Jung, B.; Heussen, N.; Flohr, T.; Günther, R.; Schaller, S. 2003; 38 Wang, G. 1999; 5 Wang, J.; Lu, H.; Liang, Z.; Eremina, D.; Zhang, G.; Wang, S.; Chen, J.; Manzione, J. 2008; 53 Williamson, J.; Whiting, B.; Benac, J.; Murphy, R.; Blaine, G.; O'Sullivan, J.; Politte, D.; Snyder, D. 2002; 29 1987; 13 1987; 164 2006; 52 2010; 37 1990; 12 1990; 13 1997; 21 1978; 50 1993; 41 2006; 59 2003; 38 2004 2008; 53 1998; 43 1996; 15 1999; 5 2009; 36 2000; 19 2004; 51 2002; 29 1990; 1234 1997; 14 2006; 25 2007; 8 1994; 13 1996; 3 2010; 7622 Lewitt R. M. (e_1_2_6_15_1) 1978; 50 Toft P. (e_1_2_6_12_1) 1996; 3 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_30_1 e_1_2_6_19_1 e_1_2_6_13_1 e_1_2_6_11_1 e_1_2_6_17_1 e_1_2_6_18_1 e_1_2_6_16_1 Klotz E. (e_1_2_6_14_1) 1990; 1234 Srinivasa N. (e_1_2_6_3_1) 1997; 14 e_1_2_6_21_1 e_1_2_6_20_1 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_24_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_22_1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_27_1 e_1_2_6_26_1 3602406 - Radiology. 1987 Aug;164(2):576-7 9071303 - J Comput Assist Tomogr. 1997 Mar-Apr;21(2):293-8 18523346 - Phys Med Biol. 2008 Jun 21;53(12):3327-41 14627894 - Invest Radiol. 2003 Dec;38(12):769-75 18218505 - IEEE Trans Med Imaging. 1994;13(2):290-300 18215947 - IEEE Trans Med Imaging. 1996;15(5):657-64 21045277 - J Xray Sci Technol. 2010;18(4):403-14 9572499 - Phys Med Biol. 1998 Apr;43(4):729-37 10227827 - Microsc Microanal. 1999 Jan;5(1):58-65 21158299 - Med Phys. 2010 Nov;37(11):5867-75 17024831 - IEEE Trans Med Imaging. 2006 Oct;25(10):1272-83 16894995 - IEEE Trans Med Imaging. 2006 Aug;25(8):1022-36 11204845 - IEEE Trans Med Imaging. 2000 Nov;19(11):1075-81 11212372 - IEEE Trans Med Imaging. 2000 Dec;19(12):1238-47 17712295 - J Appl Clin Med Phys. 2007;8(3):2268 19235393 - Med Phys. 2009 Jan;36(1):252-60 2274478 - Orthopedics. 1990 Dec;13(12):1357-8 18701771 - Phys Med Biol. 2008 Sep 7;53(17):4777-807 3624031 - Int J Radiat Oncol Biol Phys. 1987 Oct;13(10):1577-82 12408315 - Med Phys. 2002 Oct;29(10):2404-18 |
| References_xml | – volume: 53 start-page: 3327 issn: 0031-9155 year: 2008 ident: c23 article-title: An experimental study on the noise properties of x-ray CT sinogram data in Radon space publication-title: Phys. Med. Biol. – volume: 25 start-page: 1272 issn: 0278-0062 year: 2006 ident: c21 article-title: Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose x-ray computed tomography publication-title: IEEE Trans. Med. Imaging – volume: 51 start-page: 2505 issn: 0018-9499 year: 2004 ident: c22 article-title: Nonlinear sinogram smoothing for low-dose x-ray CT publication-title: IEEE Trans. Nucl. Sci. – volume: 13 start-page: 290 issn: 0278-0062 year: 1994 ident: c20 article-title: Penalized weighted least-squares image-reconstruction for positron emission tomography publication-title: IEEE Trans. Med. Imaging – volume: 41 start-page: 534 issn: 1053-587X year: 1993 ident: c24 article-title: A local update strategy for iterative reconstruction from projections publication-title: IEEE Trans. Signal Process. – volume: 13 start-page: 1357 issn: 0147-7447 year: 1990 ident: c8 article-title: Reduction of postoperative CT artefacts of pelvic fractures by use of titanium implants publication-title: Orthopedics – volume: 13 start-page: 1577 issn: 0360-3016 year: 1987 ident: c9 article-title: CT-assisted assessment of bladder and rectum dose in gynecological implants publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 21 start-page: 293 issn: 0363-8715 year: 1997 ident: c5 article-title: Total hip prosthesis metal-artifact suppression using iterative deblurring reconstruction publication-title: J. Comput. Assist. Tomogr. – volume: 29 start-page: 2404 issn: 0094-2405 year: 2002 ident: c7 article-title: Prospects for quantitative computed tomography imaging in the presence of foreign metal bodies using statistical image reconstruction publication-title: Med. Phys. – volume: 1234 start-page: 642 year: 1990 ident: c13 article-title: Algorithms for reduction of CT artifacts caused by metallic implants publication-title: SPIE Med Imaging IV – volume: 5 start-page: 58 issn: 1431-9276 year: 1999 ident: c10 article-title: Iterative x-ray cone-beam tomography for metal artifact reduction and local region reconstruction publication-title: Microsc. Microanal. – volume: 8 start-page: 2268 issn: 1526-9914 year: 2007 ident: c15 article-title: Comparing computed tomography localization with daily ultrasound during image-guided radiation therapy for the treatment of prostate cancer: A prospective evaluation publication-title: J. Appl. Clin. Med. Phys. – volume: 164 start-page: 576 issn: 0033-8419 year: 1987 ident: c12 article-title: Reduction of CT artifacts caused by metallic implants publication-title: Radiology – volume: 19 start-page: 1075 issn: 0278-0062 year: 2000 ident: c25 article-title: Penalized weighted least-squares image reconstruction for dual energy x-ray transmission tomography publication-title: IEEE Trans. Med. Imaging – volume: 14 start-page: 1 year: 1997 ident: c2 article-title: Image reconstruction from incomplete projection publication-title: J Med Life Sci Eng – volume: 12 start-page: 629 issn: 0162-8828 year: 1990 ident: c27 article-title: Scale-space and edge-detection using anisotropic diffusion publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 7622 start-page: 76225A issn: 0277-786X year: 2010 ident: c17 article-title: Accurate determination of the shape and location of metal objects in x-ray computed tomography publication-title: Proc. SPIE – volume: 43 start-page: 729 issn: 0031-9155 year: 1998 ident: c6 article-title: Iterative reconstruction for helical CT: A simulation study publication-title: Phys. Med. Biol. – volume: 3 start-page: 1742 year: 1996 ident: c11 article-title: A very fast implementation of 2D iterative reconstruction algorithms publication-title: IEEE Proc Med Imaging Conf – volume: 36 start-page: 252 issn: 0094-2405 year: 2009 ident: c16 article-title: Iterative image reconstruction for CBCT using edge-preserving prior publication-title: Med. Phys. – volume: 52 start-page: 489 issn: 0018-9448 year: 2006 ident: c28 article-title: Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information publication-title: IEEE Trans. Inf. Theory – volume: 38 start-page: 769 issn: 0020-9996 year: 2003 ident: c1 article-title: A new algorithm for metal artifact reduction in computed tomography publication-title: Invest. Radiol. – volume: 25 start-page: 1022 issn: 0278-0062 year: 2006 ident: c26 article-title: Penalized-likelihood sinogram restoration for computed tomography publication-title: IEEE Trans. Med. Imaging – volume: 19 start-page: 1238 issn: 0278-0062 year: 2000 ident: c3 article-title: X-ray CT metal artifact reduction using wavelets: An application for imaging total hip prostheses publication-title: IEEE Trans. Med. Imaging – volume: 37 start-page: 5867 issn: 0094-2405 year: 2010 ident: c18 article-title: Sinogram processing and binary reconstruction for determination of the shape and location of metal objects in computed tomography (CT) publication-title: Med. Phys. – volume: 59 start-page: 1207 issn: 0010-3640 year: 2006 ident: c29 article-title: Stable signal recovery from incomplete and inaccurate measurements publication-title: Commun. Pure Appl. Math. – volume: 50 start-page: 189 issn: 0030-4026 year: 1978 ident: c14 article-title: Image reconstruction from projections: III. Projection completion methods publication-title: Optik (Stuttgart) – volume: 15 start-page: 657 issn: 0278-0062 year: 1996 ident: c4 article-title: Iterative deblurring for CT metal artifact reduction publication-title: IEEE Trans. Med. Imaging – volume: 53 start-page: 4777 issn: 0031-9155 year: 2008 ident: c19 article-title: Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization publication-title: Phys. Med. Biol. – volume: 38 start-page: 769-775 year: 2003 publication-title: Invest. Radiol. doi: 10.1097/01.rli.0000086495.96457.54 – volume: 13 start-page: 1357-1358 year: 1990 publication-title: Orthopedics – volume: 36 start-page: 252-260 year: 2009 publication-title: Med. Phys. doi: 10.1118/1.3036112 – volume: 43 start-page: 729-737 year: 1998 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/43/4/003 – volume: 12 start-page: 629-639 year: 1990 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.56205 – volume: 3 start-page: 1742-1746 year: 1996 publication-title: IEEE Proc Med Imaging Conf – volume: 52 start-page: 489-509 year: 2006 publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.2005.862083 – volume: 19 start-page: 1238-1247 year: 2000 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.897816 – volume: 8 start-page: 2268-2268 year: 2007 publication-title: J. Appl. Clin. Med. Phys. doi: 10.1120/jacmp.v8i3.2268 – volume: 21 start-page: 293-298 year: 1997 publication-title: J. Comput. Assist. Tomogr. doi: 10.1097/00004728-199703000-00024 – volume: 50 start-page: 189-204 year: 1978 publication-title: Optik (Stuttgart) – volume: 51 start-page: 2505-2513 year: 2004 publication-title: IEEE Trans. Nucl. Sci. doi: 10.1109/TNS.2004.834824 – volume: 59 start-page: 1207-1223 year: 2006 publication-title: Commun. Pure Appl. Math. doi: 10.1002/cpa.20124 – volume: 25 start-page: 1022-1036 year: 2006 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2006.875429 – volume: 19 start-page: 1075-1081 year: 2000 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.896783 – volume: 15 start-page: 657-664 year: 1996 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.538943 – volume: 41 start-page: 534-548 year: 1993 publication-title: IEEE Trans. Signal Process. doi: 10.1109/78.193196 – volume: 13 start-page: 1577-1582 year: 1987 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/0360-3016(87)90327-0 – volume: 7622 start-page: 76225A-76225A-10 year: 2010 publication-title: Proc. SPIE – volume: 14 start-page: 1-19 year: 1997 publication-title: J Med Life Sci Eng – volume: 53 start-page: 4777-4807 year: 2008 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/53/17/021 – volume: 5 start-page: 58-65 year: 1999 publication-title: Microsc. Microanal. doi: 10.1017/S1431927699000057 – volume: 25 start-page: 1272-1283 year: 2006 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2006.882141 – volume: 37 start-page: 5867-5875 year: 2010 publication-title: Med. Phys. doi: 10.1118/1.3505294 – volume: 29 start-page: 2404-2418 year: 2002 publication-title: Med. Phys. doi: 10.1118/1.1509443 – volume: 1234 start-page: 642-650 year: 1990 publication-title: SPIE Med Imaging IV – volume: 164 start-page: 576-577 year: 1987 publication-title: Radiology – volume: 13 start-page: 290-300 year: 1994 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.293921 – volume: 53 start-page: 3327-3341 year: 2008 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/53/12/018 – volume: 13 start-page: 1577 year: 1987 end-page: 1582 article-title: CT‐assisted assessment of bladder and rectum dose in gynecological implants publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 50 start-page: 189 year: 1978 end-page: 204 article-title: Image reconstruction from projections: III. Projection completion methods publication-title: Optik (Stuttgart) – volume: 53 start-page: 4777 year: 2008 end-page: 4807 article-title: Image reconstruction in circular cone‐beam computed tomography by constrained, total‐variation minimization publication-title: Phys. Med. Biol. – volume: 15 start-page: 657 year: 1996 end-page: 664 article-title: Iterative deblurring for CT metal artifact reduction publication-title: IEEE Trans. Med. Imaging – volume: 25 start-page: 1272 year: 2006 end-page: 1283 article-title: Penalized weighted least‐squares approach to sinogram noise reduction and image reconstruction for low‐dose x‐ray computed tomography publication-title: IEEE Trans. Med. Imaging – volume: 13 start-page: 290 year: 1994 end-page: 300 article-title: Penalized weighted least‐squares image‐reconstruction for positron emission tomography publication-title: IEEE Trans. Med. Imaging – volume: 14 start-page: 1 year: 1997 end-page: 19 article-title: Image reconstruction from incomplete projection publication-title: J Med Life Sci Eng – volume: 43 start-page: 729 year: 1998 end-page: 737 article-title: Iterative reconstruction for helical CT: A simulation study publication-title: Phys. Med. Biol. – volume: 29 start-page: 2404 year: 2002 end-page: 2418 article-title: Prospects for quantitative computed tomography imaging in the presence of foreign metal bodies using statistical image reconstruction publication-title: Med. Phys. – volume: 59 start-page: 1207 year: 2006 end-page: 1223 article-title: Stable signal recovery from incomplete and inaccurate measurements publication-title: Commun. Pure Appl. Math. – volume: 5 start-page: 58 year: 1999 end-page: 65 article-title: Iterative x‐ray cone‐beam tomography for metal artifact reduction and local region reconstruction publication-title: Microsc. Microanal. – volume: 19 start-page: 1075 year: 2000 end-page: 1081 article-title: Penalized weighted least‐squares image reconstruction for dual energy x‐ray transmission tomography publication-title: IEEE Trans. Med. Imaging – volume: 8 start-page: 2268 year: 2007 end-page: 2268 article-title: Comparing computed tomography localization with daily ultrasound during image‐guided radiation therapy for the treatment of prostate cancer: A prospective evaluation publication-title: J. Appl. Clin. Med. Phys. – volume: 37 start-page: 5867 year: 2010 end-page: 5875 article-title: Sinogram processing and binary reconstruction for determination of the shape and location of metal objects in computed tomography (CT) publication-title: Med. Phys. – volume: 21 start-page: 293 year: 1997 end-page: 298 article-title: Total hip prosthesis metal‐artifact suppression using iterative deblurring reconstruction publication-title: J. Comput. Assist. Tomogr. – volume: 51 start-page: 2505 year: 2004 end-page: 2513 article-title: Nonlinear sinogram smoothing for low‐dose x‐ray CT publication-title: IEEE Trans. Nucl. Sci. – volume: 12 start-page: 629 year: 1990 end-page: 639 article-title: Scale‐space and edge‐detection using anisotropic diffusion publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 36 start-page: 252 year: 2009 end-page: 260 article-title: Iterative image reconstruction for CBCT using edge‐preserving prior publication-title: Med. Phys. – volume: 52 start-page: 489 year: 2006 end-page: 509 article-title: Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information publication-title: IEEE Trans. Inf. Theory – volume: 164 start-page: 576 year: 1987 end-page: 577 article-title: Reduction of CT artifacts caused by metallic implants publication-title: Radiology – volume: 41 start-page: 534 year: 1993 end-page: 548 article-title: A local update strategy for iterative reconstruction from projections publication-title: IEEE Trans. Signal Process. – volume: 53 start-page: 3327 year: 2008 end-page: 3341 article-title: An experimental study on the noise properties of x‐ray CT sinogram data in Radon space publication-title: Phys. Med. Biol. – volume: 1234 start-page: 642 year: 1990 end-page: 650 article-title: Algorithms for reduction of CT artifacts caused by metallic implants publication-title: SPIE Med Imaging IV – volume: 7622 start-page: 76225A year: 2010 end-page: 76225A article-title: Accurate determination of the shape and location of metal objects in x‐ray computed tomography publication-title: Proc. SPIE – year: 2004 – volume: 38 start-page: 769 year: 2003 end-page: 775 article-title: A new algorithm for metal artifact reduction in computed tomography publication-title: Invest. Radiol. – volume: 13 start-page: 1357 year: 1990 end-page: 1358 article-title: Reduction of postoperative CT artefacts of pelvic fractures by use of titanium implants publication-title: Orthopedics – volume: 3 start-page: 1742 year: 1996 end-page: 1746 article-title: A very fast implementation of 2D iterative reconstruction algorithms publication-title: IEEE Proc Med Imaging Conf – volume: 25 start-page: 1022 year: 2006 end-page: 1036 article-title: Penalized‐likelihood sinogram restoration for computed tomography publication-title: IEEE Trans. Med. Imaging – volume: 19 start-page: 1238 year: 2000 end-page: 1247 article-title: X‐ray CT metal artifact reduction using wavelets: An application for imaging total hip prostheses publication-title: IEEE Trans. Med. Imaging – ident: e_1_2_6_28_1 doi: 10.1109/34.56205 – ident: e_1_2_6_2_1 doi: 10.1097/01.rli.0000086495.96457.54 – ident: e_1_2_6_17_1 doi: 10.1118/1.3036112 – ident: e_1_2_6_9_1 doi: 10.3928/0147-7447-19901201-06 – ident: e_1_2_6_7_1 doi: 10.1088/0031‐9155/43/4/003 – volume: 14 start-page: 1 year: 1997 ident: e_1_2_6_3_1 article-title: Image reconstruction from incomplete projection publication-title: J Med Life Sci Eng – ident: e_1_2_6_23_1 doi: 10.1109/TNS.2004.834824 – volume: 50 start-page: 189 year: 1978 ident: e_1_2_6_15_1 article-title: Image reconstruction from projections: III. Projection completion methods publication-title: Optik (Stuttgart) – ident: e_1_2_6_8_1 doi: 10.1118/1.1509443 – ident: e_1_2_6_25_1 doi: 10.1109/78.193196 – ident: e_1_2_6_21_1 doi: 10.1109/42.293921 – ident: e_1_2_6_10_1 doi: 10.1016/0360‐3016(87)90327‐0 – ident: e_1_2_6_19_1 doi: 10.1118/1.3505294 – ident: e_1_2_6_30_1 doi: 10.1002/cpa.20124 – ident: e_1_2_6_13_1 doi: 10.1148/radiology.164.2.3602406 – ident: e_1_2_6_16_1 doi: 10.1120/jacmp.v8i3.2268 – ident: e_1_2_6_24_1 doi: 10.1088/0031‐9155/53/12/018 – ident: e_1_2_6_18_1 doi: 10.1117/12.844294 – ident: e_1_2_6_22_1 doi: 10.1109/TMI.2006.882141 – ident: e_1_2_6_11_1 doi: 10.1017/S1431927699000057 – ident: e_1_2_6_6_1 doi: 10.1097/00004728‐199703000‐00024 – volume: 1234 start-page: 642 year: 1990 ident: e_1_2_6_14_1 article-title: Algorithms for reduction of CT artifacts caused by metallic implants publication-title: SPIE Med Imaging IV – volume: 3 start-page: 1742 year: 1996 ident: e_1_2_6_12_1 article-title: A very fast implementation of 2D iterative reconstruction algorithms publication-title: IEEE Proc Med Imaging Conf – ident: e_1_2_6_26_1 doi: 10.1109/42.896783 – ident: e_1_2_6_27_1 doi: 10.1109/TMI.2006.875429 – ident: e_1_2_6_4_1 doi: 10.1109/42.897816 – ident: e_1_2_6_29_1 doi: 10.1109/TIT.2005.862083 – ident: e_1_2_6_31_1 doi: 10.1017/CBO9780511804441 – ident: e_1_2_6_20_1 doi: 10.1088/0031‐9155/53/17/021 – ident: e_1_2_6_5_1 doi: 10.1109/42.538943 – reference: 18523346 - Phys Med Biol. 2008 Jun 21;53(12):3327-41 – reference: 12408315 - Med Phys. 2002 Oct;29(10):2404-18 – reference: 16894995 - IEEE Trans Med Imaging. 2006 Aug;25(8):1022-36 – reference: 9071303 - J Comput Assist Tomogr. 1997 Mar-Apr;21(2):293-8 – reference: 9572499 - Phys Med Biol. 1998 Apr;43(4):729-37 – reference: 17024831 - IEEE Trans Med Imaging. 2006 Oct;25(10):1272-83 – reference: 18701771 - Phys Med Biol. 2008 Sep 7;53(17):4777-807 – reference: 17712295 - J Appl Clin Med Phys. 2007;8(3):2268 – reference: 18215947 - IEEE Trans Med Imaging. 1996;15(5):657-64 – reference: 3602406 - Radiology. 1987 Aug;164(2):576-7 – reference: 3624031 - Int J Radiat Oncol Biol Phys. 1987 Oct;13(10):1577-82 – reference: 18218505 - IEEE Trans Med Imaging. 1994;13(2):290-300 – reference: 11212372 - IEEE Trans Med Imaging. 2000 Dec;19(12):1238-47 – reference: 21158299 - Med Phys. 2010 Nov;37(11):5867-75 – reference: 10227827 - Microsc Microanal. 1999 Jan;5(1):58-65 – reference: 21045277 - J Xray Sci Technol. 2010;18(4):403-14 – reference: 14627894 - Invest Radiol. 2003 Dec;38(12):769-75 – reference: 19235393 - Med Phys. 2009 Jan;36(1):252-60 – reference: 11204845 - IEEE Trans Med Imaging. 2000 Nov;19(11):1075-81 – reference: 2274478 - Orthopedics. 1990 Dec;13(12):1357-8 |
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The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the... The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the authors... Purpose: The streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. In this work, the... |
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| SubjectTerms | ALGORITHMS Artifacts and distortion CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS Computed tomography computerised tomography COMPUTERIZED TOMOGRAPHY gradient methods IMAGE PROCESSING Image Processing, Computer-Assisted - methods image reconstruction image segmentation Interpolation ITERATIVE METHODS Medical image artifacts Medical image noise medical image processing Medical image reconstruction Medical imaging Medical X‐ray imaging metal artifact METALS minimisation MINIMIZATION Modulation transfer functions NOISE Nonmetals Numerical optimization optimization Phantoms, Imaging Quality Control Radiation Imaging Physics RADIATION SOURCE IMPLANTS RADIOLOGY AND NUCLEAR MEDICINE Reconstruction Segmentation Tomography, X-Ray Computed - methods X RADIATION X‐ray imaging |
| Title | Metal artifact reduction in x-ray computed tomography (CT) by constrained optimization |
| URI | http://dx.doi.org/10.1118/1.3533711 https://onlinelibrary.wiley.com/doi/abs/10.1118%2F1.3533711 https://www.ncbi.nlm.nih.gov/pubmed/21452707 https://www.proquest.com/docview/859759769 https://www.osti.gov/biblio/22096907 https://pubmed.ncbi.nlm.nih.gov/PMC3033877 |
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