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IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 34, NO. 12, DECEMBER 2015
Erratum Erratum to “Noise Suppression for Dual-Energy CT Through Entropy Minimization” Michael Petrongolo and Lei Zhu* In the above paper [1], the following corrections should be made on p. 2288 (i.e., the third page of the document). The paper currently reads “Singular value decomposition (SVD) gives:
(8) Manuscript received November 18, 2015. Date of current version November 25, 2015. This work was supported in part by the National Institutes of Health (NIH) under Grant R21 EB012700. Asterisk indicates corresponding author. M. Petrongolo is with the Nuclear and Radiological Engineering and Medical Physics Programs within the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. *L. Zhu is with the Nuclear and Radiological Engineering and Medical Physics Programs within the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TMI.2015.2502488
where and are unitary matrices, and is a diagonal matrix whose entries are eigenvalues of .” Here, the term “eigenvalues” should be replaced with “singular values”. Just before (10), the paper currently reads: “Exerting SVD on , we obtain the eigenvalues of .” Here, the term “eigenvalues” should be replaced with “singular values”. Eq. (11) in the paper currently reads:
(11) and Here, tion reads:
should have their positions switched so that the equa-
(11) In [30], an author’s name is missing. The author list should read, T. Niu, X. Dong, M. Petrongolo, and L. Zhu.
REFERENCES [1] M. Petrongolo and L. Zhu, “Noise suppression for dual-energy CT through entropy minimization,” IEEE Trans. Med. Imag., vol. 34, no. 11, pp. 2286–2297, Nov. 2015.
0278-0062 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 34, NO. 12, DECEMBER 2015
Erratum Erratum to “Noise Suppression for Dual-Energy CT Through Entropy Minimization” Michael Petrongolo and Lei Zhu* In the above paper [1], the following corrections should be made on p. 2288 (i.e., the third page of the document). The paper currently reads “Singular value decomposition (SVD) gives:
(8) Manuscript received November 18, 2015. Date of current version November 25, 2015. This work was supported in part by the National Institutes of Health (NIH) under Grant R21 EB012700. Asterisk indicates corresponding author. M. Petrongolo is with the Nuclear and Radiological Engineering and Medical Physics Programs within the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. *L. Zhu is with the Nuclear and Radiological Engineering and Medical Physics Programs within the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TMI.2015.2502488
where and are unitary matrices, and is a diagonal matrix whose entries are eigenvalues of .” Here, the term “eigenvalues” should be replaced with “singular values”. Just before (10), the paper currently reads: “Exerting SVD on , we obtain the eigenvalues of .” Here, the term “eigenvalues” should be replaced with “singular values”. Eq. (11) in the paper currently reads:
(11) and Here, tion reads:
should have their positions switched so that the equa-
(11) In [30], an author’s name is missing. The author list should read, T. Niu, X. Dong, M. Petrongolo, and L. Zhu.
REFERENCES [1] M. Petrongolo and L. Zhu, “Noise suppression for dual-energy CT through entropy minimization,” IEEE Trans. Med. Imag., vol. 34, no. 11, pp. 2286–2297, Nov. 2015.
0278-0062 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
