A review of Methods for Bias Correction in Medical Images
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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 biascorrection methods, provide a complete review article that enables comparative studies on bias correction in medical images.
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One of the most common types of MRI noise is based on the inhomogeneity of the magnetic field.
“One of the most common types of MRI noise is based on the inhomogeneity of the magnetic field83.”
From Federated learning enables big data for rare cancer boundary detection (2022) · cites this paper as [83]
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- Authors
- Song, S., Zheng, Y., & He, Y.
- Affiliations
- Shandong Normal University (CN)
- Venue
- Biomedical Engineering Review
- Publisher
- Knowledge Enterprise Journals
- Published
- 2017
- Volume
- 3
- Issue
- 1
- ISSN
- 2375-9143 (ISSN-L)
- 2375-9151
- OpenAlex
- W2768274329
- Cited by
- 62
- References
- 109
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 10 · 2023: 6 · 2022: 15 · 2021: 17 · 2020: 6 · 2019: 2 · 2018: 1
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Biomedical Engineering Review (publishedVersion)
- HAL (submittedVersion)
- Funders
- National Natural Science Foundation of China (ZR2014FM001, 61572300, TSHW201502038)
- Natural Science Foundation of Shandong Province (61572300, TSHW201502038, ZR2014FM001)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- bias field correction, medical image registration, intensity inhomogeneity, image intensity variation, method comparison
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