{ "cells": [ { "cell_type": "markdown", "id": "7ecc3b05", "metadata": {}, "source": [ "# Ultrasound speckle tracking\n", "\n", "This notebook demonstrates ultrasound speckle tracking using both an optical flow method with the Lucas-Kanade algorithm and a segmentation-based approach on cardiac ultrasound data from the CAMUS dataset." ] }, { "cell_type": "markdown", "id": "94017393", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tue-bmd/zea/blob/main/docs/source/notebooks/models/speckle_tracking_example.ipynb)\n", " \n", "[![View on GitHub](https://img.shields.io/badge/GitHub-View%20Source-blue?logo=github)](https://github.com/tue-bmd/zea/blob/main/docs/source/notebooks/models/speckle_tracking_example.ipynb)" ] }, { "cell_type": "markdown", "id": "f5a61109", "metadata": {}, "source": [ "‼️ **Important:** This notebook is optimized for **GPU/TPU**. Code execution on a **CPU** may be very slow.\n", "\n", "If you are running in Colab, please enable a hardware accelerator via:\n", "\n", "**Runtime → Change runtime type → Hardware accelerator → GPU/TPU** 🚀." ] }, { "cell_type": "code", "execution_count": 1, "id": "55a3d34a", "metadata": {}, "outputs": [], "source": [ "%%capture\n", "%pip install zea" ] }, { "cell_type": "code", "execution_count": 2, "id": "c505515a", "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "os.environ[\"KERAS_BACKEND\"] = \"jax\"" ] }, { "cell_type": "code", "execution_count": 3, "id": "b9adfff1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Using backend 'jax'\n" ] } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from keras import ops\n", "\n", "import zea\n", "from zea.models.lv_segmentation import AugmentedCamusSeg, INFERENCE_SIZE\n", "from zea.tracking import LucasKanadeTracker, SegmentationTracker\n", "from zea.visualize import set_mpl_style\n", "from zea.io_lib import matplotlib_figure_to_numpy, save_to_gif\n", "from zea.func import find_contour\n", "\n", "zea.init_device(verbose=False)\n", "set_mpl_style()" ] }, { "cell_type": "code", "execution_count": 4, "id": "50604ef9", "metadata": { "tags": [ "parameters" ] }, "outputs": [], "source": [ "n_frames = 13\n", "n_points = 20\n", "max_iterations = 30" ] }, { "cell_type": "markdown", "id": "0bc959e8", "metadata": {}, "source": [ "## Load ultrasound dataset\n", "\n", "Load a cardiac ultrasound sequence:" ] }, { "cell_type": "code", "execution_count": 5, "id": "8dfe10b4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded 13 frames of shape (519, 630)\n" ] } ], "source": [ "us_path = \"hf://zeahub/camus-sample/test/patient0451/patient0451_2CH_half_sequence.hdf5\"\n", "\n", "with zea.File(us_path) as file:\n", " frames = file.load_data(\"image_sc\")\n", "\n", "frames = frames[:n_frames]\n", "\n", "print(f\"Loaded {n_frames} frames of shape {frames[0].shape}\")" ] }, { "cell_type": "markdown", "id": "fb62d77c", "metadata": {}, "source": [ "## Extract initial points\n", "\n", "Use a segmentation model to find the myocardium contour and sample points. For more details see the [segmentation example notebook](../models/left_ventricle_segmentation_example.ipynb)." ] }, { "cell_type": "code", "execution_count": 6, "id": "38c6d223", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "059e7ddec86f4cceab07317b7e8e764f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "config.json: 0%| | 0.00/428 [00:00= 0.5, 1, 0).astype(np.uint8)\n", " return mask\n", "\n", "\n", "# Segment first frame\n", "frame_input = segmentation_preprocess_fn(frames[0], size=size)\n", "\n", "outputs = seg_model.call(frame_input)\n", "\n", "mask = segmentation_postprocess_fn(outputs, frames[0].shape, label=2)\n", "\n", "contour = find_contour(mask)\n", "\n", "# Sample 20 points\n", "indices = np.linspace(0, len(contour) - 1, n_points, dtype=int)\n", "initial_points = contour[indices].astype(np.float32)" ] }, { "cell_type": "markdown", "id": "fd1883a9", "metadata": {}, "source": [ "Visualize the initial points " ] }, { "cell_type": "code", "execution_count": 7, "id": "f2ae022c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(4, 4))\n", "ax.imshow(frames[0], cmap=\"gray\", aspect=\"auto\")\n", "ax.plot(\n", " initial_points[:, 1],\n", " initial_points[:, 0],\n", " \"ro\",\n", " markersize=8,\n", " markeredgecolor=\"white\",\n", " markeredgewidth=2,\n", ")\n", "ax.set_title(\"Initial Tracking Points\")\n", "ax.axis(\"off\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "f8de1b3e", "metadata": {}, "source": [ "## Track points\n", "\n", "Initialize the tracker and track through the sequence:" ] }, { "cell_type": "code", "execution_count": 8, "id": "6df42f57", "metadata": {}, "outputs": [], "source": [ "tracker = LucasKanadeTracker(win_size=(32, 32), max_level=3, max_iterations=max_iterations)\n", "\n", "trajectories = tracker.track_sequence(frames, initial_points)" ] }, { "cell_type": "markdown", "id": "fa70b088", "metadata": {}, "source": [ "Now we can visualize the trajectories of the tracked points:" ] }, { "cell_type": "code", "execution_count": 9, "id": "75ba8810", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: \u001b[32mSuccessfully saved GIF to -> \u001b[33mtracking_result.gif\u001b[0m\u001b[0m\n" ] } ], "source": [ "viz_frames = []\n", "\n", "for t in range(n_frames):\n", " fig, ax = plt.subplots(figsize=(4, 4))\n", " ax.imshow(frames[t], cmap=\"gray\", aspect=\"auto\")\n", "\n", " for i in range(n_points):\n", " traj = np.array(trajectories[i][: t + 1])\n", "\n", " if len(traj) > 1:\n", " ax.plot(traj[:, 1], traj[:, 0], \"r-\", alpha=0.4, linewidth=2)\n", "\n", " ax.plot(\n", " traj[-1, 1],\n", " traj[-1, 0],\n", " \"o\",\n", " color=\"red\",\n", " markersize=8,\n", " markeredgecolor=\"white\",\n", " markeredgewidth=2,\n", " )\n", "\n", " ax.set_title(f\"Frame {t}/{n_frames - 1}\")\n", " ax.axis(\"off\")\n", " fig.tight_layout()\n", "\n", " viz_frames.append(matplotlib_figure_to_numpy(fig))\n", " plt.close(fig)\n", "\n", "save_to_gif(viz_frames, \"tracking_result.gif\", fps=10)" ] }, { "cell_type": "markdown", "id": "d980b309", "metadata": {}, "source": [ "![Tracking Result](tracking_result.gif)" ] }, { "cell_type": "markdown", "id": "25f28572", "metadata": {}, "source": [ "## Comparison with segmentation-based tracking\n", "\n", "In the following we will compare optical flow tracking with a segmentation-based approach.\n", "\n", "- **Left (Red)**: Lucas-Kanade optical flow tracking - tracks points smoothly between frames\n", "- **Right (Green)**: Segmentation-based tracking - finds closest contour points in each segmented frame" ] }, { "cell_type": "code", "execution_count": 10, "id": "92aff29a", "metadata": {}, "outputs": [], "source": [ "seg_tracker = SegmentationTracker(\n", " model=seg_model,\n", " preprocess_fn=segmentation_preprocess_fn,\n", " postprocess_fn=segmentation_postprocess_fn,\n", ")\n", "\n", "seg_trajectories = seg_tracker.track_sequence(frames, initial_points)" ] }, { "cell_type": "code", "execution_count": 11, "id": "1a6afd6d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: \u001b[32mSuccessfully saved GIF to -> \u001b[33mtracking_comparison.gif\u001b[0m\u001b[0m\n" ] } ], "source": [ "comparison_frames = []\n", "\n", "methods = [\n", " {\"trajectories\": trajectories, \"color\": \"red\", \"title\": \"Lucas-Kanade\"},\n", " {\"trajectories\": seg_trajectories, \"color\": \"green\", \"title\": \"Segmentation-based\"},\n", "]\n", "\n", "for t in range(n_frames):\n", " fig, axes = plt.subplots(1, 2, figsize=(8, 4))\n", "\n", " for ax, method in zip(axes, methods):\n", " ax.imshow(frames[t], cmap=\"gray\", aspect=\"auto\")\n", "\n", " for i in range(n_points):\n", " traj = np.array(method[\"trajectories\"][i][: t + 1])\n", "\n", " if len(traj) > 1:\n", " ax.plot(traj[:, 1], traj[:, 0], method[\"color\"], alpha=0.4, linewidth=2)\n", "\n", " ax.plot(\n", " traj[-1, 1],\n", " traj[-1, 0],\n", " \"o\",\n", " color=method[\"color\"],\n", " markersize=8,\n", " markeredgecolor=\"white\",\n", " markeredgewidth=2,\n", " )\n", "\n", " ax.set_title(method[\"title\"])\n", " ax.axis(\"off\")\n", "\n", " fig.suptitle(f\"Frame {t}/{n_frames - 1}\", y=0.95)\n", "\n", " comparison_frames.append(matplotlib_figure_to_numpy(fig))\n", " plt.close(fig)\n", "\n", "save_to_gif(comparison_frames, \"tracking_comparison.gif\", fps=10)" ] }, { "cell_type": "markdown", "id": "0aae3485", "metadata": {}, "source": [ "![Tracking Comparison](./tracking_comparison.gif)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.11" } }, "nbformat": 4, "nbformat_minor": 5 }