Improved automatic exposure control using morphology-based disturbance recognition

R.I. Gaasbeek; R.J.R. van der Maas; M. den Hartog; A.G. de Jager

doi:10.1109/ISBI.2014.6868108

Improved automatic exposure control using morphology-based disturbance recognition

R.I. Gaasbeek, R.J.R. van der Maas, M. den Hartog, A.G. de Jager

Control Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

2 Downloads (Pure)

Abstract

In medical X-ray imaging, the detector intensity heavily influences the signal-to-noise ratio, and thus the image quality. Consequently, image quality and patient dose are dependent on the performance of the Automatic Exposure Control. Introducing large opaque objects to the image, which can be considered disturbances for the dose control, leads to a loss of image quality (overexposed tissue) as well as an increased patient dose. The effect of scatter-radiation makes it difficult to exclude these disturbances from the image using simple thresholding. In this work, a morphology-based filter is proposed as a pre-processing step for the Automatic Exposure Control leading to a superior disturbance exclusion. The algorithm has been verified in a real-time environment and it is shown to be robust against large disturbances in the X-ray images.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1271-1274
Number of pages	4
ISBN (Electronic)	978-1-4673-1961-4
DOIs	https://doi.org/10.1109/ISBI.2014.6868108
Publication status	Published - 2014
Event	11th IEEE International Symposium on Biomedical Imaging (ISBI 2014) - Renaissance Beijing Capital Hotel, Beijing, China Duration: 29 Apr 2014 → 2 May 2014 Conference number: 11 http://biomedicalimaging.org/2014/

Conference

Conference	11th IEEE International Symposium on Biomedical Imaging (ISBI 2014)
Abbreviated title	ISBI 2014
Country/Territory	China
City	Beijing
Period	29/04/14 → 2/05/14
Internet address	http://biomedicalimaging.org/2014/

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10.1109/ISBI.2014.6868108

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@inproceedings{cc017da4eed94115a657b88d564e18dd,

title = "Improved automatic exposure control using morphology-based disturbance recognition",

abstract = "In medical X-ray imaging, the detector intensity heavily influences the signal-to-noise ratio, and thus the image quality. Consequently, image quality and patient dose are dependent on the performance of the Automatic Exposure Control. Introducing large opaque objects to the image, which can be considered disturbances for the dose control, leads to a loss of image quality (overexposed tissue) as well as an increased patient dose. The effect of scatter-radiation makes it difficult to exclude these disturbances from the image using simple thresholding. In this work, a morphology-based filter is proposed as a pre-processing step for the Automatic Exposure Control leading to a superior disturbance exclusion. The algorithm has been verified in a real-time environment and it is shown to be robust against large disturbances in the X-ray images.",

author = "R.I. Gaasbeek and {van der Maas}, R.J.R. and {den Hartog}, M. and {de Jager}, A.G.",

year = "2014",

doi = "10.1109/ISBI.2014.6868108",

language = "English",

pages = "1271--1274",

booktitle = "Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "11th IEEE International Symposium on Biomedical Imaging (ISBI 2014), ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",

url = "http://biomedicalimaging.org/2014/",

}

Gaasbeek, RI, van der Maas, RJR, den Hartog, M & de Jager, AG 2014, Improved automatic exposure control using morphology-based disturbance recognition. in Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI). Institute of Electrical and Electronics Engineers, Piscataway, pp. 1271-1274, 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014), Beijing, China, 29/04/14. https://doi.org/10.1109/ISBI.2014.6868108

Improved automatic exposure control using morphology-based disturbance recognition. / Gaasbeek, R.I.; van der Maas, R.J.R.; den Hartog, M. et al.
Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI). Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 1271-1274.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Improved automatic exposure control using morphology-based disturbance recognition

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AU - van der Maas, R.J.R.

AU - den Hartog, M.

AU - de Jager, A.G.

N1 - Conference code: 11

PY - 2014

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N2 - In medical X-ray imaging, the detector intensity heavily influences the signal-to-noise ratio, and thus the image quality. Consequently, image quality and patient dose are dependent on the performance of the Automatic Exposure Control. Introducing large opaque objects to the image, which can be considered disturbances for the dose control, leads to a loss of image quality (overexposed tissue) as well as an increased patient dose. The effect of scatter-radiation makes it difficult to exclude these disturbances from the image using simple thresholding. In this work, a morphology-based filter is proposed as a pre-processing step for the Automatic Exposure Control leading to a superior disturbance exclusion. The algorithm has been verified in a real-time environment and it is shown to be robust against large disturbances in the X-ray images.

AB - In medical X-ray imaging, the detector intensity heavily influences the signal-to-noise ratio, and thus the image quality. Consequently, image quality and patient dose are dependent on the performance of the Automatic Exposure Control. Introducing large opaque objects to the image, which can be considered disturbances for the dose control, leads to a loss of image quality (overexposed tissue) as well as an increased patient dose. The effect of scatter-radiation makes it difficult to exclude these disturbances from the image using simple thresholding. In this work, a morphology-based filter is proposed as a pre-processing step for the Automatic Exposure Control leading to a superior disturbance exclusion. The algorithm has been verified in a real-time environment and it is shown to be robust against large disturbances in the X-ray images.

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DO - 10.1109/ISBI.2014.6868108

M3 - Conference contribution

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BT - Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014)

Y2 - 29 April 2014 through 2 May 2014

ER -

Improved automatic exposure control using morphology-based disturbance recognition

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