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Assessing the combined effect of bias field correction and intensity normalization of T2w images on prostate tumor probability maps
Stephanie Alley1, Uulke Van der Heide2, Cynthia Ménard3, and Samuel Kadoury1,3
1Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada, 2Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 3Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
We demonstrate that a systematic assessment of the combined effect of bias field correction and intensity normalization on T2w images leads to enhanced accuracy in tumor localization within the prostate.
Figure 3. Tumor probability maps for two patients across all pre-processing combinations: a) None, b) N4, c) PABIC, d) N4 + basic normalization, e) PABIC + basic normalization, f) N4 + PZ normalization, g) PABIC + PZ normalization, h) N4 + histogram normalization, i) PABIC + histogram normalization.
Figure 2. Normalization performance for basic, median peripheral zone (PZ), and histogram matching normalization. Percent coefficient of variation was employed as the ad hoc metric.