diff --git a/nnunetv2/preprocessing/normalization/map_channel_name_to_normalization.py b/nnunetv2/preprocessing/normalization/map_channel_name_to_normalization.py
index 18f027bed..7d92b56a7 100644
--- a/nnunetv2/preprocessing/normalization/map_channel_name_to_normalization.py
+++ b/nnunetv2/preprocessing/normalization/map_channel_name_to_normalization.py
@@ -4,8 +4,8 @@
     ZScoreNormalization, RescaleTo01Normalization, RGBTo01Normalization, ImageNormalization
 
 channel_name_to_normalization_mapping = {
-    'CT': CTNormalization,
-    'noNorm': NoNormalization,
+    'ct': CTNormalization,
+    'nonorm': NoNormalization,
     'zscore': ZScoreNormalization,
     'rescale_to_0_1': RescaleTo01Normalization,
     'rgb_to_0_1': RGBTo01Normalization
@@ -17,7 +17,7 @@ def get_normalization_scheme(channel_name: str) -> Type[ImageNormalization]:
     If we find the channel_name in channel_name_to_normalization_mapping return the corresponding normalization. If it is
     not found, use the default (ZScoreNormalization)
     """
-    norm_scheme = channel_name_to_normalization_mapping.get(channel_name)
+    norm_scheme = channel_name_to_normalization_mapping.get(channel_name.casefold())
     if norm_scheme is None:
         norm_scheme = ZScoreNormalization
     # print('Using %s for image normalization' % norm_scheme.__name__)