Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomics.

Journal: European journal of radiology
Published Date: Mar 30, 2025

Abstract

BACKGROUND AND PURPOSE: Radiomics analysis has emerged as a promising approach to aid in cancer diagnosis and treatment. However, radiomics research currently lacks standardization, and radiomics features can be highly dependent on acquisition and pre-processing techniques used. In this study, we aim to investigate the effect of various image normalization techniques on robustness of radiomics features extracted from breast cancer patient MRI scans.

Authors

  • Florian Schwarzhans
    Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Rathausplatz 1, AT-3500 Krems-Stein, Austria. Electronic address: florian.schwarzhans@dp-uni.ac.at.
  • Geevarghese George
    Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Rathausplatz 1, AT-3500 Krems-Stein, Austria. Electronic address: geevarghese.george@dp-uni.ac.at.
  • Lorena Escudero Sanchez
    Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom.
  • Olgica Zaric
    Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Rathausplatz 1, AT-3500 Krems-Stein, Austria. Electronic address: olgica.zaric@dp-uni.ac.at.
  • Jean E Abraham
    Cancer Research UK Cambridge Centre, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Precision Breast Cancer Institute, Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, UK. Electronic address: ja344@medschl.cam.ac.uk.
  • Ramona Woitek
    Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna 1090, Austria. Electronic address: rw585@cam.ac.uk.
  • Sepideh Hatamikia
    Austrian Center for Medical Innovation and Technology, Vienna, Austria.

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