Chest CT window settings with multiscale adaptive histogram equalization: Pilot study

Laura M. Fayad; Yinpeng Jin; Andrew F. Laine; Yahya M. Berkmen; Gregory D. Pearson; Benjamin Freedman; Ronald Van Heertum

doi:10.1148/radiol.2233010943

Chest CT window settings with multiscale adaptive histogram equalization: Pilot study

Laura M. Fayad, Yinpeng Jin, Andrew F. Laine, Yahya M. Berkmen, Gregory D. Pearson, Benjamin Freedman, Ronald Van Heertum

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

Multiscale adaptive histogram equalization (MAHE), a wavelet-based algorithm, was investigated as a method of automatic simultaneous display of the full dynamic contrast range of a computed tomographic image. Interpretation times were significantly lower for MAHE-enhanced images compared with those for conventionally displayed images. Diagnostic accuracy, however, was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display.

Original language	English (US)
Pages (from-to)	845-852
Number of pages	8
Journal	RADIOLOGY
Volume	223
Issue number	3
DOIs	https://doi.org/10.1148/radiol.2233010943
State	Published - Jan 1 2002
Externally published	Yes

Keywords

Computed tomography (CT), image display and recording
Computed tomography (CT), image processing
Liver, CT
Lung, CT

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1148/radiol.2233010943

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title = "Chest CT window settings with multiscale adaptive histogram equalization: Pilot study",

abstract = "Multiscale adaptive histogram equalization (MAHE), a wavelet-based algorithm, was investigated as a method of automatic simultaneous display of the full dynamic contrast range of a computed tomographic image. Interpretation times were significantly lower for MAHE-enhanced images compared with those for conventionally displayed images. Diagnostic accuracy, however, was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display.",

keywords = "Computed tomography (CT), image display and recording, Computed tomography (CT), image processing, Liver, CT, Lung, CT",

author = "Fayad, {Laura M.} and Yinpeng Jin and Laine, {Andrew F.} and Berkmen, {Yahya M.} and Pearson, {Gregory D.} and Benjamin Freedman and {Van Heertum}, Ronald",

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doi = "10.1148/radiol.2233010943",

language = "English (US)",

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AU - Fayad, Laura M.

AU - Jin, Yinpeng

AU - Laine, Andrew F.

AU - Berkmen, Yahya M.

AU - Pearson, Gregory D.

AU - Freedman, Benjamin

AU - Van Heertum, Ronald

PY - 2002/1/1

Y1 - 2002/1/1

N2 - Multiscale adaptive histogram equalization (MAHE), a wavelet-based algorithm, was investigated as a method of automatic simultaneous display of the full dynamic contrast range of a computed tomographic image. Interpretation times were significantly lower for MAHE-enhanced images compared with those for conventionally displayed images. Diagnostic accuracy, however, was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display.

AB - Multiscale adaptive histogram equalization (MAHE), a wavelet-based algorithm, was investigated as a method of automatic simultaneous display of the full dynamic contrast range of a computed tomographic image. Interpretation times were significantly lower for MAHE-enhanced images compared with those for conventionally displayed images. Diagnostic accuracy, however, was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display.

KW - Computed tomography (CT), image display and recording

KW - Computed tomography (CT), image processing

KW - Liver, CT

KW - Lung, CT

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Chest CT window settings with multiscale adaptive histogram equalization: Pilot study

Abstract

Keywords

ASJC Scopus subject areas

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