On the Separation of Quantum Noise for Cardiac X-Ray Image Compression

F.J. de Bruijn; Cornelis H. Slump

doi:10.1109/IEMBS.1996.652784

On the Separation of Quantum Noise for Cardiac X-Ray Image Compression

F.J. de Bruijn, Cornelis H. Slump

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

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Abstract

In lossy medical image compression, the requirements for the preservation of diagnostic integrity cannot be easily formulated in terms of a perceptual model. Especially, since human visual perception is dependent on numerous factors such as the viewing conditions and psycho-visual factors. Therefore, the authors investigate the possibility to set criteria for data loss, based on the characteristics of the acquisition system. In general, medical images tend to be relatively noisy, due to the low patient dose. The nature of the noise is usually known and partially uncorrelated. In addition, the systems modulation transfer function (MTF) imposes a known spatial-frequency limitation to the information. In the assumption that noise which is not correlated with the signal contains no diagnostic information, the authors derive compression criterion based on a physical model of a digital cardiac cineangiography system

Original language	Undefined
Title of host publication	Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of Publication	Amsterdam
Publisher	IEEE
Pages	-
Number of pages	2
ISBN (Print)	90-9010005-9(CD
DOIs	https://doi.org/10.1109/IEMBS.1996.652784
Publication status	Published - 31 Oct 1996
Event	18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996: Bridging Disciplines for Biomedicine - Amsterdam, Netherlands Duration: 31 Oct 1996 → 3 Nov 1996 Conference number: 18

Publication series

Name
Publisher	IEEE
Volume	3

Conference

Conference	18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996
Abbreviated title	EMBC
Country	Netherlands
City	Amsterdam
Period	31/10/96 → 3/11/96

Keywords

IR-17432
METIS-114327

Access to Document

10.1109/IEMBS.1996.652784

00652784
open

Cite this

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title = "On the Separation of Quantum Noise for Cardiac X-Ray Image Compression",

abstract = "In lossy medical image compression, the requirements for the preservation of diagnostic integrity cannot be easily formulated in terms of a perceptual model. Especially, since human visual perception is dependent on numerous factors such as the viewing conditions and psycho-visual factors. Therefore, the authors investigate the possibility to set criteria for data loss, based on the characteristics of the acquisition system. In general, medical images tend to be relatively noisy, due to the low patient dose. The nature of the noise is usually known and partially uncorrelated. In addition, the systems modulation transfer function (MTF) imposes a known spatial-frequency limitation to the information. In the assumption that noise which is not correlated with the signal contains no diagnostic information, the authors derive compression criterion based on a physical model of a digital cardiac cineangiography system",

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author = "{de Bruijn}, F.J. and Slump, {Cornelis H.}",

year = "1996",

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de Bruijn, FJ & Slump, CH 1996, On the Separation of Quantum Noise for Cardiac X-Ray Image Compression. in Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, Amsterdam, pp. -, 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996, Amsterdam, Netherlands, 31/10/96. https://doi.org/10.1109/IEMBS.1996.652784

On the Separation of Quantum Noise for Cardiac X-Ray Image Compression. / de Bruijn, F.J.; Slump, Cornelis H.

Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Amsterdam : IEEE, 1996. p. -.

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

TY - GEN

T1 - On the Separation of Quantum Noise for Cardiac X-Ray Image Compression

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Y1 - 1996/10/31

N2 - In lossy medical image compression, the requirements for the preservation of diagnostic integrity cannot be easily formulated in terms of a perceptual model. Especially, since human visual perception is dependent on numerous factors such as the viewing conditions and psycho-visual factors. Therefore, the authors investigate the possibility to set criteria for data loss, based on the characteristics of the acquisition system. In general, medical images tend to be relatively noisy, due to the low patient dose. The nature of the noise is usually known and partially uncorrelated. In addition, the systems modulation transfer function (MTF) imposes a known spatial-frequency limitation to the information. In the assumption that noise which is not correlated with the signal contains no diagnostic information, the authors derive compression criterion based on a physical model of a digital cardiac cineangiography system

AB - In lossy medical image compression, the requirements for the preservation of diagnostic integrity cannot be easily formulated in terms of a perceptual model. Especially, since human visual perception is dependent on numerous factors such as the viewing conditions and psycho-visual factors. Therefore, the authors investigate the possibility to set criteria for data loss, based on the characteristics of the acquisition system. In general, medical images tend to be relatively noisy, due to the low patient dose. The nature of the noise is usually known and partially uncorrelated. In addition, the systems modulation transfer function (MTF) imposes a known spatial-frequency limitation to the information. In the assumption that noise which is not correlated with the signal contains no diagnostic information, the authors derive compression criterion based on a physical model of a digital cardiac cineangiography system

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CY - Amsterdam

Y2 - 31 October 1996 through 3 November 1996

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