Add tue-aaa README + pipeline(s) from accepted_submissions

tue-aaa/README.md

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+---
+pretty_name: "OpenH-RF — TU/e PULS/e — Abdominal Aortic Aneurysm (C5-2v) channel data"
+license: cc-by-4.0
+task_categories:
+  - image-to-image
+tags:
+  - ultrasound
+  - rf
+  - openh-rf
+  - beamforming
+  - motion-estimation
+  - abdominal-aortic-aneurysm
+  - curved-array
+language:
+  - en
+---
+
+# Abdominal Aortic Aneurysm (AAA) curved-array channel data
+
+## Dataset Description
+
+This dataset contains ultrasound channel data acquired in vivo from patients with abdominal aortic aneurysms (AAA). The dataset consists of ultrafast acquisitions obtained using a curved array ultrasound transducer operating in diverging wave transmission mode with a Verasonics system. The data capture raw radio frequency (RF) channel signals at high frame rates, enabling access to the full spatiotemporal information.
+
+## Dataset Contributor(s)
+
+PULS/e group
+Department of Biomedical Engineering
+Eindhoven University of Technology
+contact: Hans-Martin Schwab (h.schwab@tue.nl)
+
+## Dataset Creation Date
+
+July 2026
+
+## License / Terms of Use
+
+CC BY 4.0.
+
+## Intended Usage
+
+Advanced beamforming
+Motion estimation
+
+## Dataset Characterization
+
+- **Data collection method:** clinical
+- **Acquisition system:** Verasonics Vantage, C5-2v curved array, 128 elements, center frequency 3.6 MHz
+- **Transmit sequence:** 15 steered diverging waves (polar angles −12° … +12°)
+
+## Dataset Format
+
+zea file format. Subject metadata is stored under `metadata/subject` (`age`, `sex`, `bmi`); attribution under `metadata/credit`.
+
+## Dataset Quantification
+
+- **Samples / frames:** 500 acquisitions
+- **Total size on disk:** 5.7 GB
+
+| Field | Shape | dtype | Units | Description |
+|---|---|---|---|---|
+| `raw_data` | `(N_frames, N_tx, N_ax, N_el, 1)` | int16 | — | Raw RF channel data |
+
+## Subject Metadata
+
+Patients are dominantly male, aged 63–90, and scanned in the Netherlands.
+
+## Data Validation
+
+A `zea.Pipeline` (cast → axial window → demodulate → DAS beamforming → envelope detection → normalization → log compression) is defined in `pipeline.yaml`. Run `reconstruct.py` to reproduce the reference B-mode image (`AAApatient01_bmode.png`).
+
+## Known Issues
+
+N/A
+
+## Ethical Considerations
+
+The experiment protocol was approved by the local ethics review board of the Catharina Hospital Eindhoven on 22 December 2023 (ID-number: nWMO-2023.115) and written informed consent was obtained from each patient prior to scanning.

tue-aaa/pipeline.yaml

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+pipeline:
+    operations:
+    -   name: keras.ops.cast
+        params:
+            dtype: float32
+    -   name: apply_window
+        params:
+            size: 64
+            end: 96
+    - demodulate
+    -   name: beamform
+        params:
+            num_patches: 200
+    - envelope_detect
+    -   name: normalize
+        params:
+            output_range:
+            - 0.0
+            - 1.0
+    - log_compress
+parameters:
+    grid_size_x: 580
+    grid_size_z: 600
+    xlims:
+    - -0.1
+    - 0.1
+    zlims:
+    - 0.0065
+    - 0.18
+    f_number: 1.0
+    dynamic_range:
+    - -60
+    - 0
+    apply_lens_correction: true