The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images

May Oehler; Thorsten M. Buzug

doi:10.1007/978-3-540-68764-1_6

The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images

Institute of Medical Engineering

Abstract

Filtered backprojection (FBP) is an inadequate method to cope with inconsistencies in Radon space and, consequently, leads to artifacts in reconstructed CT images. A solution to this problem is given by statistical reconstruction methods like the Maximum-Likelihood Expectation-Maximization (MLEM) algorithm. The advantage of MLEM is that it allows to weight raw projection data during reconstruction. The method presented here consists of two steps. In a first step, inconsistent data in the Radon space were bridged using a directional interpolation scheme. Since these surrogate data are contaminated with residual inconsistencies, in a second step, the image is reconstructed using a weighted MLEM algorithm. In this work, the modified MLEM algorithm for metal artifact reduction in CT is presented for clinical hip prosthesis data. On the basis of image entropy the reconstruction success is evaluated.

Original language	English
Title of host publication	Advances in Medical Engineering
Editors	Thorsten M. Buzug, Dietrich Holz, Jens Bongartz, Matthias Kohl-Bareis, Ulrich Hartmann, Simone Weber
Number of pages	6
Volume	114
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	01.01.2007
Pages	42-47
ISBN (Print)	978-3-540-68763-4
ISBN (Electronic)	978-3-540-68764-1
DOIs	https://doi.org/10.1007/978-3-540-68764-1_6
Publication status	Published - 01.01.2007

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10.1007/978-3-540-68764-1_6

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Oehler, M., & Buzug, T. M. (2007). The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images. In T. M. Buzug, D. Holz, J. Bongartz, M. Kohl-Bareis, U. Hartmann, & S. Weber (Eds.), Advances in Medical Engineering (Vol. 114, pp. 42-47). (Springer Proceedings in Physics; Vol. 114). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-68764-1_6

Oehler, May ; Buzug, Thorsten M. / The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images. Advances in Medical Engineering. editor / Thorsten M. Buzug ; Dietrich Holz ; Jens Bongartz ; Matthias Kohl-Bareis ; Ulrich Hartmann ; Simone Weber. Vol. 114 Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. pp. 42-47 (Springer Proceedings in Physics).

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title = "The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images",

abstract = "Filtered backprojection (FBP) is an inadequate method to cope with inconsistencies in Radon space and, consequently, leads to artifacts in reconstructed CT images. A solution to this problem is given by statistical reconstruction methods like the Maximum-Likelihood Expectation-Maximization (MLEM) algorithm. The advantage of MLEM is that it allows to weight raw projection data during reconstruction. The method presented here consists of two steps. In a first step, inconsistent data in the Radon space were bridged using a directional interpolation scheme. Since these surrogate data are contaminated with residual inconsistencies, in a second step, the image is reconstructed using a weighted MLEM algorithm. In this work, the modified MLEM algorithm for metal artifact reduction in CT is presented for clinical hip prosthesis data. On the basis of image entropy the reconstruction success is evaluated.",

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Oehler, M & Buzug, TM 2007, The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images. in TM Buzug, D Holz, J Bongartz, M Kohl-Bareis, U Hartmann & S Weber (eds), Advances in Medical Engineering. vol. 114, Springer Proceedings in Physics, vol. 114, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 42-47. https://doi.org/10.1007/978-3-540-68764-1_6

The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images. / Oehler, May; Buzug, Thorsten M.
Advances in Medical Engineering. ed. / Thorsten M. Buzug; Dietrich Holz; Jens Bongartz; Matthias Kohl-Bareis; Ulrich Hartmann; Simone Weber. Vol. 114 Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. p. 42-47 (Springer Proceedings in Physics; Vol. 114).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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T1 - The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images

AU - Oehler, May

AU - Buzug, Thorsten M.

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N2 - Filtered backprojection (FBP) is an inadequate method to cope with inconsistencies in Radon space and, consequently, leads to artifacts in reconstructed CT images. A solution to this problem is given by statistical reconstruction methods like the Maximum-Likelihood Expectation-Maximization (MLEM) algorithm. The advantage of MLEM is that it allows to weight raw projection data during reconstruction. The method presented here consists of two steps. In a first step, inconsistent data in the Radon space were bridged using a directional interpolation scheme. Since these surrogate data are contaminated with residual inconsistencies, in a second step, the image is reconstructed using a weighted MLEM algorithm. In this work, the modified MLEM algorithm for metal artifact reduction in CT is presented for clinical hip prosthesis data. On the basis of image entropy the reconstruction success is evaluated.

AB - Filtered backprojection (FBP) is an inadequate method to cope with inconsistencies in Radon space and, consequently, leads to artifacts in reconstructed CT images. A solution to this problem is given by statistical reconstruction methods like the Maximum-Likelihood Expectation-Maximization (MLEM) algorithm. The advantage of MLEM is that it allows to weight raw projection data during reconstruction. The method presented here consists of two steps. In a first step, inconsistent data in the Radon space were bridged using a directional interpolation scheme. Since these surrogate data are contaminated with residual inconsistencies, in a second step, the image is reconstructed using a weighted MLEM algorithm. In this work, the modified MLEM algorithm for metal artifact reduction in CT is presented for clinical hip prosthesis data. On the basis of image entropy the reconstruction success is evaluated.

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A2 - Buzug, Thorsten M.

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Oehler M, Buzug TM. The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images. In Buzug TM, Holz D, Bongartz J, Kohl-Bareis M, Hartmann U, Weber S, editors, Advances in Medical Engineering. Vol. 114. Berlin, Heidelberg: Springer Berlin Heidelberg. 2007. p. 42-47. (Springer Proceedings in Physics). doi: 10.1007/978-3-540-68764-1_6

The λ-MLEM Algorithm: An Iterative Reconstruction Technique for Metal Artifact Reduction in CT Images

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