A review of Methods for Bias Correction in Medical Images
Main Article Content
Abstract
Abstract
Bias field in medical images is an undesirable artifact primarily arises from the improper image acquisition process or the specific properties of the imaged object. This artifact can be characterized by a smooth variation of intensities across the image and significantly degrade many medical image analysis techniques. Studies on bias correction have been investigated extensively over these years. In this paper, we proposed to category and analysis existing bias
correction methods, provide a complete review article that enables comparative studies on bias correction in medical images.
Bias field in medical images is an undesirable artifact primarily arises from the improper image acquisition process or the specific properties of the imaged object. This artifact can be characterized by a smooth variation of intensities across the image and significantly degrade many medical image analysis techniques. Studies on bias correction have been investigated extensively over these years. In this paper, we proposed to category and analysis existing bias
correction methods, provide a complete review article that enables comparative studies on bias correction in medical images.
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SONG, Shuang; ZHENG, Yuanjie; HE, Yunlong.
A review of Methods for Bias Correction in Medical Images.
Biomedical Engineering Review, [S.l.], v. 1, n. 1, sep. 2017.
ISSN 2375-9151.
Available at: <https://esmed.org/MRA/bme/article/view/1550>. Date accessed: 14 dec. 2024.
doi: https://doi.org/10.18103/bme.v3i1.1550.
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References
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