Influence of metal segmentation on the quality of metal artifact reduction methods

M. Stille; B. Kratz; J. Müller; N. Maaß; I. Schasiepen; M. Elter; I. Weyers; T. M. Buzug

doi:10.1117/12.2006810

Influence of metal segmentation on the quality of metal artifact reduction methods

M. Stille, B. Kratz, J. Müller, N. Maaß, I. Schasiepen, M. Elter, I. Weyers, T. M. Buzug

Abstract

In computed tomography, star shape artifacts are introduced by metal objects, which are inside a patient's body. The quality of the reconstructed image can be enhanced by applying a metal artifact reduction method. Unfortunately, a method that removes all such artifacts in order to make the images valuable for medical diagnosis remains to be found. In this study, the influence of metal segmentation is investigated. A thresholding technique, which is the state of the art in the field, is compared with a manual segmentation. Results indicate that a more accurate segmentation can lead to a preservation of important anatomical details, which are of high value for medical diagnosis.

Originalsprache	Englisch
Titel	Medical Imaging 2013: Physics of Medical Imaging
Redakteure/-innen	Christoph Hoeschen, Bruce R. Whiting, Robert M. Nishikawa
Seitenumfang	6
Band	8668
Herausgeber (Verlag)	SPIE
Erscheinungsdatum	06.03.2013
Seiten	8668 - 8668 - 6
ISBN (Print)	9780819494429
DOIs	https://doi.org/10.1117/12.2006810
Publikationsstatus	Veröffentlicht - 06.03.2013
Veranstaltung	Image Processing, SPIE Medical Imaging 2013 - Lake Buena Vista (Orlando Area), USA / Vereinigte Staaten Dauer: 09.02.2013 → 14.02.2013

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Dokumente

10.1117/12.2006810

http://spie.org/Publications/Proceedings/Paper/10.1117/12.2006810

Zitieren

Stille, M., Kratz, B., Müller, J., Maaß, N., Schasiepen, I., Elter, M., Weyers, I., & Buzug, T. M. (2013). Influence of metal segmentation on the quality of metal artifact reduction methods. in C. Hoeschen, B. R. Whiting, & R. M. Nishikawa (Hrsg.), Medical Imaging 2013: Physics of Medical Imaging (Band 8668, S. 8668 - 8668 - 6). (Proceedings of SPIE; Band 8668). SPIE. https://doi.org/10.1117/12.2006810

@inproceedings{56d21fdb37084678bafc68974e95acb5,

title = "Influence of metal segmentation on the quality of metal artifact reduction methods",

abstract = "In computed tomography, star shape artifacts are introduced by metal objects, which are inside a patient's body. The quality of the reconstructed image can be enhanced by applying a metal artifact reduction method. Unfortunately, a method that removes all such artifacts in order to make the images valuable for medical diagnosis remains to be found. In this study, the influence of metal segmentation is investigated. A thresholding technique, which is the state of the art in the field, is compared with a manual segmentation. Results indicate that a more accurate segmentation can lead to a preservation of important anatomical details, which are of high value for medical diagnosis.",

author = "M. Stille and B. Kratz and J. M{\"u}ller and N. Maa{\ss} and I. Schasiepen and M. Elter and I. Weyers and Buzug, \{T. M.\}",

year = "2013",

month = mar,

day = "6",

doi = "10.1117/12.2006810",

language = "English",

isbn = "9780819494429",

volume = "8668",

series = "Proceedings of SPIE",

publisher = "SPIE",

pages = "8668 -- 8668 -- 6",

editor = "Hoeschen, \{Christoph \} and Whiting, \{Bruce R. \} and Nishikawa, \{Robert M. \}",

booktitle = "Medical Imaging 2013: Physics of Medical Imaging",

note = "Image Processing, SPIE Medical Imaging 2013<br/> ; Conference date: 09-02-2013 Through 14-02-2013",

}

Stille, M, Kratz, B, Müller, J, Maaß, N, Schasiepen, I, Elter, M, Weyers, I & Buzug, TM 2013, Influence of metal segmentation on the quality of metal artifact reduction methods. in C Hoeschen, BR Whiting & RM Nishikawa (Hrsg.), Medical Imaging 2013: Physics of Medical Imaging. Bd. 8668, Proceedings of SPIE, Bd. 8668, SPIE, S. 8668 - 8668 - 6, Image Processing, SPIE Medical Imaging 2013
, Lake Buena Vista (Orlando Area), Florida, USA / Vereinigte Staaten, 09.02.13. https://doi.org/10.1117/12.2006810

Influence of metal segmentation on the quality of metal artifact reduction methods. / Stille, M.; Kratz, B.; Müller, J. et al.
Medical Imaging 2013: Physics of Medical Imaging. Hrsg. / Christoph Hoeschen; Bruce R. Whiting; Robert M. Nishikawa. Band 8668 SPIE, 2013. S. 8668 - 8668 - 6 (Proceedings of SPIE; Band 8668).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Influence of metal segmentation on the quality of metal artifact reduction methods

AU - Stille, M.

AU - Kratz, B.

AU - Müller, J.

AU - Maaß, N.

AU - Schasiepen, I.

AU - Elter, M.

AU - Weyers, I.

AU - Buzug, T. M.

PY - 2013/3/6

Y1 - 2013/3/6

N2 - In computed tomography, star shape artifacts are introduced by metal objects, which are inside a patient's body. The quality of the reconstructed image can be enhanced by applying a metal artifact reduction method. Unfortunately, a method that removes all such artifacts in order to make the images valuable for medical diagnosis remains to be found. In this study, the influence of metal segmentation is investigated. A thresholding technique, which is the state of the art in the field, is compared with a manual segmentation. Results indicate that a more accurate segmentation can lead to a preservation of important anatomical details, which are of high value for medical diagnosis.

AB - In computed tomography, star shape artifacts are introduced by metal objects, which are inside a patient's body. The quality of the reconstructed image can be enhanced by applying a metal artifact reduction method. Unfortunately, a method that removes all such artifacts in order to make the images valuable for medical diagnosis remains to be found. In this study, the influence of metal segmentation is investigated. A thresholding technique, which is the state of the art in the field, is compared with a manual segmentation. Results indicate that a more accurate segmentation can lead to a preservation of important anatomical details, which are of high value for medical diagnosis.

U2 - 10.1117/12.2006810

DO - 10.1117/12.2006810

M3 - Conference contribution

SN - 9780819494429

VL - 8668

T3 - Proceedings of SPIE

SP - 8668 - 8668 - 6

BT - Medical Imaging 2013: Physics of Medical Imaging

A2 - Hoeschen, Christoph

A2 - Whiting, Bruce R.

A2 - Nishikawa, Robert M.

PB - SPIE

T2 - Image Processing, SPIE Medical Imaging 2013<br/>

Y2 - 9 February 2013 through 14 February 2013

ER -