A method for automatic low-contrast object segmentation for low-contrast detectability in CT images

affected the increase in CNR. In conclusion, an automatic method for detecting low-contrast objects in the ACR 464 CT phantom was successfully completed. Low-contrast objects segmentation was shown to be accurate in test images.

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Publication Details

Journal
Biomedical Physics & Engineering Express
Published
2026-03-31
DOI
https://doi.org/10.1088/2057-1976/ae5970
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
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A method for automatic low-contrast object segmentation for low-contrast detectability in CT images

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A method for automatic low-contrast object segmentation for low-contrast detectability in CT images

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article en

Abstract

affected the increase in CNR. In conclusion, an automatic method for detecting low-contrast objects in the ACR 464 CT phantom was successfully completed. Low-contrast objects segmentation was shown to be accurate in test images.

Biomedical Physics & Engineering ExpressVol. 12(2)
Diponegoro University (ID), California State University, Channel Islands (US)
Openalex Percentile: Top 33%
Advanced X-ray and CT Imaging
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