diff --git a/example/example_modality_centric_preprocessor.py b/example/example_modality_centric_preprocessor.py
index 5fc002c..f89a119 100644
--- a/example/example_modality_centric_preprocessor.py
+++ b/example/example_modality_centric_preprocessor.py
@@ -13,128 +13,109 @@
 
 def preprocess(inputDir):
     inputDir = turbopath(inputDir)
-    try:
-        print("*** start ***")
-
-        # where are the raw mr files?
-        btk_raw_dir = turbopath(inputDir)
-
-        # is the exam already processed?
-        brainles_dir = turbopath(inputDir) + "/" + inputDir.name + "_brainles"
-        raw_bet_dir = brainles_dir / "raw_bet"
-        norm_bet_dir = brainles_dir / "normalized_bet"
-        raw_skull_dir = brainles_dir / "raw_skull"
-        norm_skull_dir = brainles_dir / "normalized_skull"
-
-        # if not os.path.exists(prep_dir):
-        # if os.path.exists(prep_dir):
-        t1_file = btk_raw_dir.files("*t1.nii.gz")
-        t1c_file = btk_raw_dir.files("*t1c.nii.gz")
-        t2_file = btk_raw_dir.files("*t2.nii.gz")
-        flair_file = btk_raw_dir.files("*fla.nii.gz")
-
-        if len(t1_file) == len(t1c_file) == len(t2_file) == len(flair_file) == 1:
-            # print(t1_file)
-            # print(t1c_file)
-            # print(t2_file)
-            # print(flair_file)
-
-            t1File = t1_file[0]
-            t1cFile = t1c_file[0]
-            t2File = t2_file[0]
-            flaFile = flair_file[0]
-
-            # normalizer
-            percentile_normalizer = PercentileNormalizer(
-                lower_percentile=0.1,
-                upper_percentile=99.9,
-                lower_limit=0,
-                upper_limit=1,
-            )
-
-            # define modalities
-            center = Modality(
-                modality_name="t1c",
-                input_path=t1cFile,
-                raw_bet_output_path=raw_bet_dir / inputDir.name + "_t1c_bet_raw.nii.gz",
+    print("*** start ***")
+
+    # where are the raw mr files?
+    btk_raw_dir = turbopath(inputDir)
+    # is the exam already processed?
+    brainles_dir = turbopath(inputDir) + "/" + inputDir.name + "_brainles"
+    raw_bet_dir = brainles_dir / "raw_bet"
+    norm_bet_dir = brainles_dir / "normalized_bet"
+    raw_skull_dir = brainles_dir / "raw_skull"
+    norm_skull_dir = brainles_dir / "normalized_skull"
+    # if not os.path.exists(prep_dir):
+    # if os.path.exists(prep_dir):
+    t1_file = btk_raw_dir.files("*t1.nii.gz")
+    t1c_file = btk_raw_dir.files("*t1c.nii.gz")
+    t2_file = btk_raw_dir.files("*t2.nii.gz")
+    flair_file = btk_raw_dir.files("*fla.nii.gz")
+    if len(t1_file) == len(t1c_file) == len(t2_file) == len(flair_file) == 1:
+        # print(t1_file)
+        # print(t1c_file)
+        # print(t2_file)
+        # print(flair_file)
+        t1File = t1_file[0]
+        t1cFile = t1c_file[0]
+        t2File = t2_file[0]
+        flaFile = flair_file[0]
+        # normalizer
+        percentile_normalizer = PercentileNormalizer(
+            lower_percentile=0.1,
+            upper_percentile=99.9,
+            lower_limit=0,
+            upper_limit=1,
+        )
+        # define modalities
+        center = Modality(
+            modality_name="t1c",
+            input_path=t1cFile,
+            raw_bet_output_path=raw_bet_dir / inputDir.name + "_t1c_bet_raw.nii.gz",
+            raw_skull_output_path=raw_skull_dir / inputDir.name
+            + "_t1c_skull_raw.nii.gz",
+            # normalized_bet_output_path=norm_bet_dir / inputDir.name
+            # + "_t1c_bet_normalized.nii.gz",
+            normalized_skull_output_path=norm_skull_dir / inputDir.name
+            + "_t1c_skull_normalized.nii.gz",
+            atlas_correction=True,
+            normalizer=percentile_normalizer,
+        )
+        moving_modalities = [
+            Modality(
+                modality_name="t1",
+                input_path=t1File,
+                raw_bet_output_path=raw_bet_dir / inputDir.name + "_t1_bet_raw.nii.gz",
                 raw_skull_output_path=raw_skull_dir / inputDir.name
-                + "_t1c_skull_raw.nii.gz",
+                + "_t1_skull_raw.nii.gz",
                 normalized_bet_output_path=norm_bet_dir / inputDir.name
-                + "_t1c_bet_normalized.nii.gz",
+                + "_t1_bet_normalized.nii.gz",
                 normalized_skull_output_path=norm_skull_dir / inputDir.name
-                + "_t1c_skull_normalized.nii.gz",
+                + "_t1_skull_normalized.nii.gz",
                 atlas_correction=True,
                 normalizer=percentile_normalizer,
-            )
-
-            moving_modalities = [
-                Modality(
-                    modality_name="t1",
-                    input_path=t1File,
-                    raw_bet_output_path=raw_bet_dir / inputDir.name
-                    + "_t1_bet_raw.nii.gz",
-                    raw_skull_output_path=raw_skull_dir / inputDir.name
-                    + "_t1_skull_raw.nii.gz",
-                    normalized_bet_output_path=norm_bet_dir / inputDir.name
-                    + "_t1_bet_normalized.nii.gz",
-                    normalized_skull_output_path=norm_skull_dir / inputDir.name
-                    + "_t1_skull_normalized.nii.gz",
-                    atlas_correction=True,
-                    normalizer=percentile_normalizer,
-                ),
-                Modality(
-                    modality_name="t2",
-                    input_path=t2File,
-                    raw_bet_output_path=raw_bet_dir / inputDir.name
-                    + "_t2_bet_raw.nii.gz",
-                    raw_skull_output_path=raw_skull_dir / inputDir.name
-                    + "_t2_skull_raw.nii.gz",
-                    normalized_bet_output_path=norm_bet_dir / inputDir.name
-                    + "_t2_bet_normalized.nii.gz",
-                    normalized_skull_output_path=norm_skull_dir / inputDir.name
-                    + "_t2_skull_normalized.nii.gz",
-                    atlas_correction=True,
-                    normalizer=percentile_normalizer,
-                ),
-                Modality(
-                    modality_name="flair",
-                    input_path=flaFile,
-                    raw_bet_output_path=raw_bet_dir / inputDir.name
-                    + "_fla_bet_raw.nii.gz",
-                    raw_skull_output_path=raw_skull_dir / inputDir.name
-                    + "_fla_skull_raw.nii.gz",
-                    normalized_bet_output_path=norm_bet_dir / inputDir.name
-                    + "_fla_bet_normalized.nii.gz",
-                    normalized_skull_output_path=norm_skull_dir / inputDir.name
-                    + "_fla_skull_normalized.nii.gz",
-                    atlas_correction=True,
-                    normalizer=percentile_normalizer,
-                ),
-            ]
-
-            preprocessor = Preprocessor(
-                center_modality=center,
-                moving_modalities=moving_modalities,
-                registrator=NiftyRegRegistrator(),
-                brain_extractor=HDBetExtractor(),
-                temp_folder="tempo",
-                limit_cuda_visible_devices="1",
-            )
-
-            preprocessor.run(
-                save_dir_coregistration=brainles_dir + "/co-registration",
-                save_dir_atlas_registration=brainles_dir + "/atlas-registration",
-                save_dir_atlas_correction=brainles_dir + "/atlas-correction",
-                save_dir_brain_extraction=brainles_dir + "/brain-extraction",
-            )
-
-    except Exception as e:
-        print("error: " + str(e))
-        print("conversion error for:", inputDir)
-
-        time = str(datetime.datetime.now().time())
-
-        print("** finished:", inputDir.name, "at:", time)
+            ),
+            Modality(
+                modality_name="t2",
+                input_path=t2File,
+                raw_bet_output_path=raw_bet_dir / inputDir.name + "_t2_bet_raw.nii.gz",
+                raw_skull_output_path=raw_skull_dir / inputDir.name
+                + "_t2_skull_raw.nii.gz",
+                normalized_bet_output_path=norm_bet_dir / inputDir.name
+                + "_t2_bet_normalized.nii.gz",
+                normalized_skull_output_path=norm_skull_dir / inputDir.name
+                + "_t2_skull_normalized.nii.gz",
+                atlas_correction=True,
+                normalizer=percentile_normalizer,
+            ),
+            Modality(
+                modality_name="flair",
+                input_path=flaFile,
+                raw_bet_output_path=raw_bet_dir / inputDir.name + "_fla_bet_raw.nii.gz",
+                raw_skull_output_path=raw_skull_dir / inputDir.name
+                + "_fla_skull_raw.nii.gz",
+                normalized_bet_output_path=norm_bet_dir / inputDir.name
+                + "_fla_bet_normalized.nii.gz",
+                normalized_skull_output_path=norm_skull_dir / inputDir.name
+                + "_fla_skull_normalized.nii.gz",
+                atlas_correction=True,
+                normalizer=percentile_normalizer,
+            ),
+        ]
+
+        preprocessor = Preprocessor(
+            center_modality=center,
+            moving_modalities=moving_modalities,
+            registrator=NiftyRegRegistrator(),
+            brain_extractor=HDBetExtractor(),
+            temp_folder="tempo",
+            limit_cuda_visible_devices="1",
+        )
+
+        preprocessor.run(
+            save_dir_coregistration=brainles_dir + "/co-registration",
+            save_dir_atlas_registration=brainles_dir + "/atlas-registration",
+            save_dir_atlas_correction=brainles_dir + "/atlas-correction",
+            save_dir_brain_extraction=brainles_dir + "/brain-extraction",
+        )
 
 
 ### *** GOGOGO *** ###