diff --git a/detection/generate_transforms.py b/detection/generate_transforms.py
index b255532742..5fc9ac91c2 100644
--- a/detection/generate_transforms.py
+++ b/detection/generate_transforms.py
@@ -78,7 +78,7 @@ def generate_detection_train_transform(
 
     train_transforms = Compose(
         [
-            LoadImaged(keys=[image_key], meta_key_postfix="meta_dict"),
+            LoadImaged(keys=[image_key], image_only=False, meta_key_postfix="meta_dict"),
             EnsureChannelFirstd(keys=[image_key]),
             EnsureTyped(keys=[image_key, box_key], dtype=torch.float32),
             EnsureTyped(keys=[label_key], dtype=torch.long),
@@ -224,7 +224,7 @@ def generate_detection_val_transform(
 
     val_transforms = Compose(
         [
-            LoadImaged(keys=[image_key], meta_key_postfix="meta_dict"),
+            LoadImaged(keys=[image_key], image_only=False, meta_key_postfix="meta_dict"),
             EnsureChannelFirstd(keys=[image_key]),
             EnsureTyped(keys=[image_key, box_key], dtype=torch.float32),
             EnsureTyped(keys=[label_key], dtype=torch.long),
@@ -280,7 +280,7 @@ def generate_detection_inference_transform(
 
     test_transforms = Compose(
         [
-            LoadImaged(keys=[image_key], meta_key_postfix="meta_dict"),
+            LoadImaged(keys=[image_key], image_only=False, meta_key_postfix="meta_dict"),
             EnsureChannelFirstd(keys=[image_key]),
             EnsureTyped(keys=[image_key], dtype=torch.float32),
             Orientationd(keys=[image_key], axcodes="RAS"),
diff --git a/detection/luna16_prepare_images.py b/detection/luna16_prepare_images.py
index 0e9047e5ca..ae0f7dc86e 100644
--- a/detection/luna16_prepare_images.py
+++ b/detection/luna16_prepare_images.py
@@ -61,6 +61,7 @@ def main():
         [
             LoadImaged(
                 keys=["image"],
+                image_only=False,
                 meta_key_postfix="meta_dict",
                 reader="itkreader",
                 affine_lps_to_ras=True,
diff --git a/detection/luna16_prepare_images_dicom.py b/detection/luna16_prepare_images_dicom.py
index 5e8ed782db..165d158b37 100644
--- a/detection/luna16_prepare_images_dicom.py
+++ b/detection/luna16_prepare_images_dicom.py
@@ -63,6 +63,7 @@ def main():
         [
             LoadImaged(
                 keys=["image"],
+                image_only=False,
                 meta_key_postfix="meta_dict",
                 reader="itkreader",
                 affine_lps_to_ras=True,
diff --git a/reconstruction/MRI_reconstruction/unet_demo/inference.ipynb b/reconstruction/MRI_reconstruction/unet_demo/inference.ipynb
index 301dd9cb2f..8f8e3a6767 100644
--- a/reconstruction/MRI_reconstruction/unet_demo/inference.ipynb
+++ b/reconstruction/MRI_reconstruction/unet_demo/inference.ipynb
@@ -236,7 +236,7 @@
     "\n",
     "test_transforms = Compose(\n",
     "    [\n",
-    "        LoadImaged(keys=[\"kspace\"], reader=FastMRIReader, dtype=np.complex64),\n",
+    "        LoadImaged(keys=[\"kspace\"], reader=FastMRIReader, image_only=False, dtype=np.complex64),\n",
     "        # user can also add other random transforms\n",
     "        ExtractDataKeyFromMetaKeyd(keys=[\"reconstruction_rss\", \"mask\"], meta_key=\"kspace_meta_dict\"),\n",
     "        MaskTransform,\n",
diff --git a/reconstruction/MRI_reconstruction/unet_demo/train.py b/reconstruction/MRI_reconstruction/unet_demo/train.py
index b54bd224bf..4286223eaa 100644
--- a/reconstruction/MRI_reconstruction/unet_demo/train.py
+++ b/reconstruction/MRI_reconstruction/unet_demo/train.py
@@ -97,7 +97,7 @@ def trainer(args):
 
     train_transforms = Compose(
         [
-            LoadImaged(keys=["kspace"], reader=FastMRIReader, dtype=np.complex64),
+            LoadImaged(keys=["kspace"], reader=FastMRIReader, image_only=False, dtype=np.complex64),
             # user can also add other random transforms
             ExtractDataKeyFromMetaKeyd(keys=["reconstruction_rss", "mask"], meta_key="kspace_meta_dict"),
             MaskTransform,
diff --git a/reconstruction/MRI_reconstruction/varnet_demo/inference.ipynb b/reconstruction/MRI_reconstruction/varnet_demo/inference.ipynb
index 0533fadef1..d858ddd70a 100644
--- a/reconstruction/MRI_reconstruction/varnet_demo/inference.ipynb
+++ b/reconstruction/MRI_reconstruction/varnet_demo/inference.ipynb
@@ -251,7 +251,7 @@
     "\n",
     "test_transforms = Compose(\n",
     "    [\n",
-    "        LoadImaged(keys=[\"kspace\"], reader=FastMRIReader, dtype=np.complex64),\n",
+    "        LoadImaged(keys=[\"kspace\"], reader=FastMRIReader, image_only=False, dtype=np.complex64),\n",
     "        # user can also add other random transforms\n",
     "        ExtractDataKeyFromMetaKeyd(keys=[\"reconstruction_rss\", \"mask\"], meta_key=\"kspace_meta_dict\"),\n",
     "        MaskTransform,\n",
diff --git a/reconstruction/MRI_reconstruction/varnet_demo/train.py b/reconstruction/MRI_reconstruction/varnet_demo/train.py
index 6e8c3d3949..969976bf90 100644
--- a/reconstruction/MRI_reconstruction/varnet_demo/train.py
+++ b/reconstruction/MRI_reconstruction/varnet_demo/train.py
@@ -106,7 +106,7 @@ def trainer(args):
 
     train_transforms = Compose(
         [
-            LoadImaged(keys=["kspace"], reader=FastMRIReader, dtype=np.complex64),
+            LoadImaged(keys=["kspace"], reader=FastMRIReader, image_only=False, dtype=np.complex64),
             # user can also add other random transforms but remember to disable randomness for val_transforms
             ExtractDataKeyFromMetaKeyd(keys=["reconstruction_rss", "mask"], meta_key="kspace_meta_dict"),
             MaskTransform,