Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging

Our results suggest that intensity normalization using the Z-score of intensity within prostate, breast, and brain MR images produces the most comparable intensities between sites, MR vendors, magnetic field strength, and prostate endorectal coil usage. Likewise, Z-score normalization provided the highest percentage of radiomic features that were statistically equal across the three organs.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-02-07
DOI
https://doi.org/10.3389/fonc.2025.1433444
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08

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article

Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging

Fitzgerald Kyereme, Biprojit Nath, Aleksandra Winiarz, Peter S. LaViolette et al.
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Frontiers in Oncology
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article

Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging

Fitzgerald Kyereme, Biprojit Nath, Aleksandra Winiarz, Peter S. LaViolette, Stephanie Vincent-Sheldon, Samuel Bobholz, Savannah Duenweg, Allison K. Lowman, Michael Barrett
article en
3 citations

Abstract

Our results suggest that intensity normalization using the Z-score of intensity within prostate, breast, and brain MR images produces the most comparable intensities between sites, MR vendors, magnetic field strength, and prostate endorectal coil usage. Likewise, Z-score normalization provided the highest percentage of radiomic features that were statistically equal across the three organs.

Frontiers in OncologyVol. 15
Medical College of Wisconsin (US)
National Cancer Institute
Good health and well-being
Openalex Percentile: Top 8%
Radiomics and Machine Learning in Medical Imaging
4.08
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