diff --git a/atlas/tasks.py b/atlas/tasks.py
index 085c4815..e752705d 100644
--- a/atlas/tasks.py
+++ b/atlas/tasks.py
@@ -86,6 +86,7 @@ from generic.models import CimarCase
 from rad.settings import REMOTE_URL, CIMAR_USERNAME, CIMAR_PASSWORD
 from helpers.cimar import CimarAPI, NotFoundError
 from pydicom.uid import generate_uid
+from datetime import datetime
 from django.contrib.auth.models import User
 from django.core.files.base import ContentFile
 from django.core.cache import cache
@@ -338,6 +339,7 @@ def series_reconstruct_task(
                 "spacing_between_slices_out": float(plane_spacing),
                 "slice_thickness_out": float(plane_thickness),
                 "image_orientation_out": [1.0, 0.0, 0.0, 0.0, 1.0, 0.0],
+                "plane_normal_out": [0.0, 0.0, 1.0],
                 "position_fn": lambda idx, centers=slab_centers_idx: position_from_patient_zyx(centers[idx], 0.0, 0.0),
             }
         elif plane_norm == "coronal":
@@ -348,12 +350,13 @@ def series_reconstruct_task(
             )
             plane_builders[plane_norm] = {
                 "count": int(len(slab_indices)),
-                "slice_fn": lambda idx, slabs=slab_indices: _reduce_slab(vol_zyx[:, slabs[idx], :], reduce_axis=1),
+                "slice_fn": lambda idx, slabs=slab_indices: np.flipud(_reduce_slab(vol_zyx[:, slabs[idx], :], reduce_axis=1)),
                 "pixel_spacing_out": [float(spacing_z), float(spacing_x)],
                 "spacing_between_slices_out": float(plane_spacing),
                 "slice_thickness_out": float(plane_thickness),
-                "image_orientation_out": [1.0, 0.0, 0.0, 0.0, 0.0, 1.0],
-                "position_fn": lambda idx, centers=slab_centers_idx: position_from_patient_zyx(0.0, centers[idx], 0.0),
+                "image_orientation_out": [1.0, 0.0, 0.0, 0.0, 0.0, -1.0],
+                "plane_normal_out": [0.0, 1.0, 0.0],
+                "position_fn": lambda idx, centers=slab_centers_idx: position_from_patient_zyx(float(vol_zyx.shape[0] - 1), centers[idx], 0.0),
             }
         elif plane_norm == "sagittal":
             plane_spacing = float(requested_slice_spacing) if requested_slice_spacing is not None else float(spacing_x)
@@ -363,12 +366,13 @@ def series_reconstruct_task(
             )
             plane_builders[plane_norm] = {
                 "count": int(len(slab_indices)),
-                "slice_fn": lambda idx, slabs=slab_indices: _reduce_slab(vol_zyx[:, :, slabs[idx]], reduce_axis=2),
+                "slice_fn": lambda idx, slabs=slab_indices: np.flipud(_reduce_slab(vol_zyx[:, :, slabs[idx]], reduce_axis=2)),
                 "pixel_spacing_out": [float(spacing_z), float(spacing_y)],
                 "spacing_between_slices_out": float(plane_spacing),
                 "slice_thickness_out": float(plane_thickness),
-                "image_orientation_out": [0.0, 1.0, 0.0, 0.0, 0.0, 1.0],
-                "position_fn": lambda idx, centers=slab_centers_idx: position_from_patient_zyx(0.0, 0.0, centers[idx]),
+                "image_orientation_out": [0.0, 1.0, 0.0, 0.0, 0.0, -1.0],
+                "plane_normal_out": [1.0, 0.0, 0.0],
+                "position_fn": lambda idx, centers=slab_centers_idx: position_from_patient_zyx(float(vol_zyx.shape[0] - 1), 0.0, centers[idx]),
             }
 
     if not plane_builders:
@@ -388,6 +392,9 @@ def series_reconstruct_task(
         recon_series = atlas_views._create_series_derivative(series, f"Recon {plane_norm.title()} ({source_plane.title()} src)")
         recon_series.series_instance_uid = generate_uid()
         recon_series.save(update_fields=["series_instance_uid"])
+        now = datetime.utcnow()
+        date_str = now.strftime("%Y%m%d")
+        time_str = now.strftime("%H%M%S.%f")[:13]
 
         for idx in range(int(cfg["count"])):
             arr2d = cfg["slice_fn"](idx)
@@ -399,12 +406,28 @@ def series_reconstruct_task(
             ds_new.InstanceNumber = idx + 1
             ds_new.SOPInstanceUID = generate_uid()
             ds_new.SeriesInstanceUID = recon_series.series_instance_uid
+            ds_new.SeriesDescription = recon_series.description or f"Recon {plane_norm.title()}"
+            ds_new.ImageType = ["DERIVED", "SECONDARY", "MPR"]
+            ds_new.DerivationDescription = (
+                f"{plane_norm.title()} reconstruction; mode={recon_thickness_mode}; "
+                f"thickness={float(cfg['slice_thickness_out']):.3f}mm; spacing={float(cfg['spacing_between_slices_out']):.3f}mm"
+            )
+            ds_new.ContentDate = date_str
+            ds_new.ContentTime = time_str
+            ds_new.InstanceCreationDate = date_str
+            ds_new.InstanceCreationTime = time_str
             ds_new.PixelData = arr2d.tobytes()
             ds_new.PixelSpacing = [float(cfg["pixel_spacing_out"][0]), float(cfg["pixel_spacing_out"][1])]
             ds_new.ImageOrientationPatient = cfg["image_orientation_out"]
-            ds_new.ImagePositionPatient = cfg["position_fn"](idx)
+            ipp = cfg["position_fn"](idx)
+            ds_new.ImagePositionPatient = ipp
             ds_new.SliceThickness = float(cfg["slice_thickness_out"])
             ds_new.SpacingBetweenSlices = float(cfg["spacing_between_slices_out"])
+            try:
+                normal = np.asarray(cfg["plane_normal_out"], dtype=float)
+                ds_new.SliceLocation = float(np.dot(np.asarray(ipp, dtype=float), normal))
+            except Exception:
+                pass
 
             out_io = io.BytesIO()
             ds_new.save_as(out_io, write_like_original=False)