diff --git a/trace-analysis.ipynb b/trace-analysis.ipynb
index e0136ba..3aa92b9 100644
--- a/trace-analysis.ipynb
+++ b/trace-analysis.ipynb
@@ -121,6 +121,11 @@
     "# E.g. r\"^/sensing/\" will cover all sensing topics\n",
     "E2E_INPUT_TOPIC_PATTERNS = [r\"^/vehicle/status/\", r\"^/sensing/\"]\n",
     "\n",
+    "# E2E paths are uniquely identified by a string like \"/topic/1 -> void(Node1)(args1) -> /topic/2 -> void(Node2)(args2) -> void(Node2)(args3) -> ...\".\n",
+    "# Certain patterns only occur in initial setup or in scenario switching and can be excluded via RegEx patterns here.\n",
+    "E2E_EXCLUDED_PATH_PATTERNS = [r\"NDTScanMatcher\"]\n",
+    "\n",
+    "\n",
     "# This code overrides the above constants with environment variables, do not edit.\n",
     "for env_key, env_value in os.environ.items():\n",
     "    if env_key.startswith(\"ANA_NB_\"):\n",
@@ -1371,6 +1376,9 @@
     "        dur_str = colored(f\"{duration * 1000 :>.3f}ms\", colors[E2E_PLOT_TIMESTAMP])\n",
     "        print(f\"  -> {dur_str} {part}\")\n",
     "\n",
+    "# Filter out excluded path patterns\n",
+    "out_df = out_df[~out_df[\"path\"].apply(lambda path: any(re.search(f, path) for f in E2E_EXCLUDED_PATH_PATTERNS))]\n",
+    "\n",
     "out_df.to_csv(os.path.join(OUT_PATH, \"e2e.csv\"), sep=\"\\t\", index=False)\n"
    ],
    "metadata": {