tel-aviv: sync data card, mouse_tumor pipeline and figures with GitHub

Syncs the tel-aviv (Ilovitsh Lab) card, pipeline and figures on the Hub with the reviewed state on GitHub (open-h/OpenH-RF).

`mouse_tumor/pipeline.yaml` raises the axial grid from 256 to 352 samples over the same 0-72 mm depth range, matching the reference reconstruction. The lateral grid and limits are unchanged.

Adds the cine loop the card now leads with, `assets/01-scan-3.gif`: `mouse_tumor/seg/01-scan-3.hdf5` reconstructed from the raw channel data with that pipeline. `assets/main.png` is the release image and is not embedded in the card.

Files changed: 4.

```
+ tel-aviv/assets/01-scan-3.gif
+ tel-aviv/assets/main.png
~ tel-aviv/README.md
~ tel-aviv/mouse_tumor/pipeline.yaml
```

tel-aviv/README.md

@@ -7,6 +7,12 @@ tags: [ultrasound, rf, openh-rf]
 
 # Ilovitsh Lab Mice Tumors & Water-Bead Phantoms
 
+![Reconstructed cineloop from 01-scan-3.hdf5](assets/01-scan-3.gif)
+
+Cine loop of [`01-scan-3.hdf5`](https://huggingface.co/datasets/nvidia/OpenH-RF/blob/main/tel-aviv/mouse_tumor/seg/01-scan-3.hdf5), reconstructed from the raw
+channel data with the `pipeline.yaml` in this folder.
+
+
 ## Dataset Description
 
 This dataset provides ultrasound data captured via a motorized 1D transducer array. It captures both in-vivo tumors in mice and in-silico water-bead phantoms, and was originally acquired as part of our work on implicit neural representations (INR) [1].

tel-aviv/mouse_tumor/pipeline.yaml

@@ -2,7 +2,7 @@ parameters:
   xlims: [-0.01902, 0.01863]
   zlims: [0.0, 0.072]
   grid_size_x: 256
-  grid_size_z: 256
+  grid_size_z: 352
 
 pipeline:
   operations: