{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Myocardial image quality estimation\n", "\n", "[![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/metrics/myocardial_quality_example.ipynb)   [![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/metrics/myocardial_quality_example.ipynb)   [![Hugging Face model](https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface)](https://huggingface.co/gillesvdv/mobilenetv2_regional_quality)   [![UMB](https://img.shields.io/badge/UMB-Paper-431E4F.svg)](https://www.sciencedirect.com/science/article/pii/S0301562924004691)\n", "\n", "This notebook demonstrates regional image quality scoring for apical echocardiography views using a MobileNetV2-based model.\n", "\n", "**References**:\n", "- Paper: [Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning](https://www.sciencedirect.com/science/article/pii/S0301562924004691), Gilles Van De Vyver et al.\n", "- GitHub: [arqee](https://github.com/GillesVanDeVyver/arqee) (original implementation of the model and visualization)" ] }, { "cell_type": "markdown", "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, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "%pip install zea\n", "%pip install onnxruntime # needed for both segmentation and image quality models" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Using backend 'tensorflow'\n" ] } ], "source": [ "import os\n", "\n", "os.environ[\"KERAS_BACKEND\"] = \"tensorflow\"\n", "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\"\n", "\n", "import matplotlib.pyplot as plt\n", "from keras import ops\n", "from zea.visualize import plot_shape_from_mask\n", "import numpy as np\n", "\n", "from zea import init_device\n", "from zea.backend.tensorflow.dataloader import make_dataloader\n", "from zea.visualize import set_mpl_style\n", "from zea.io_lib import matplotlib_figure_to_numpy, save_video\n", "\n", "init_device(verbose=False)\n", "set_mpl_style()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading models\n", "To predict regional image quality, we need both:\n", "- a segmentation model (for LV and myocardium regions)\n", "- the image quality model\n", "\n", "For more details on segmentation, see the [LV segmentation notebook](../models/left_ventricle_segmentation_example.ipynb)." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from zea.models.regional_quality import MobileNetv2RegionalQuality\n", "\n", "quality_model = MobileNetv2RegionalQuality.from_preset(\"mobilenetv2_regional_quality\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from zea.models.lv_segmentation import AugmentedCamusSeg\n", "\n", "seg_model = AugmentedCamusSeg.from_preset(\"augmented_camus_seg\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load CAMUS Validation Data\n", "\n", "We load a batch of images from the CAMUS validation set." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Using pregenerated dataset info file: \u001b[33m/root/.cache/zea/huggingface/datasets/datasets--zeahub--camus-sample/snapshots/617cf91a1267b5ffbcfafe9bebf0813c7cee8493/val/dataset_info.yaml\u001b[0m ...\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: ...for reading file paths in \u001b[33m/root/.cache/zea/huggingface/datasets/datasets--zeahub--camus-sample/snapshots/617cf91a1267b5ffbcfafe9bebf0813c7cee8493/val\u001b[0m\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Dataset was validated on \u001b[32mOctober 01, 2025\u001b[0m\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Remove \u001b[33m/root/.cache/zea/huggingface/datasets/datasets--zeahub--camus-sample/snapshots/617cf91a1267b5ffbcfafe9bebf0813c7cee8493/val/validated.flag\u001b[0m if you want to redo validation.\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: \u001b[38;5;214mWARNING\u001b[0m H5Generator: Not all files have the same shape. This can lead to issues when resizing images later....\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: H5Generator: Shuffled data.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: H5Generator: Shuffled data.\n" ] } ], "source": [ "# Load a batch and run both models.\n", "n_imgs = 1\n", "INFERENCE_SIZE = 256\n", "val_dataset = make_dataloader(\n", " \"hf://zeahub/camus-sample/val\",\n", " key=\"data/image_sc\",\n", " batch_size=n_imgs,\n", " shuffle=True,\n", " image_range=[-45, 0],\n", " clip_image_range=True,\n", " normalization_range=[-1, 1],\n", " image_size=(INFERENCE_SIZE, INFERENCE_SIZE),\n", " resize_type=\"resize\",\n", " seed=42,\n", " n_frames=10,\n", ")\n", "batch = next(iter(val_dataset))\n", "# bring frame dimension to front\n", "# [frames, height, width, channels]\n", "batch = ops.swapaxes(batch, 0, -1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will run the segmentation model to get the LV and myocardium masks, and then feed those to the image quality model to get regional quality scores." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Predicted regional image quality scores:\n", " basal_left: 4.59\n", " mid_left: 5.21\n", " apical_left: 3.60\n", " apical_right: 2.37\n", " mid_right: 2.64\n", " basal_right: 2.99\n", " annulus_left: 6.01\n", " annulus_right: 4.85\n" ] } ], "source": [ "# onnx model needs [batch, channels, height, width]\n", "batch_np = ops.convert_to_numpy(batch)\n", "onnx_input = np.transpose(batch_np, (0, 3, 1, 2))\n", "\n", "# Run the image quality model\n", "scores = quality_model.call(onnx_input)\n", "scores = np.array(scores)\n", "\n", "# Run the segmentation model (LV + myocardium)\n", "outputs_seg = seg_model.call(onnx_input)\n", "outputs_seg = np.array(outputs_seg)\n", "masks = np.argmax(outputs_seg, axis=1).astype(np.uint8)\n", "\n", "fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n", "ax.imshow(batch_np[0], cmap=\"gray\")\n", "plot_shape_from_mask(ax, masks[0] == 1, color=\"red\", alpha=0.3) # LV\n", "plot_shape_from_mask(ax, masks[0] == 2, color=\"blue\", alpha=0.3) # Myocardium\n", "plt.axis(\"off\")\n", "plt.show()\n", "\n", "region_labels = [\n", " \"basal_left\",\n", " \"mid_left\",\n", " \"apical_left\",\n", " \"apical_right\",\n", " \"mid_right\",\n", " \"basal_right\",\n", " \"annulus_left\",\n", " \"annulus_right\",\n", "]\n", "\n", "print(\"Predicted regional image quality scores:\")\n", "for label, score in zip(region_labels, scores[0]):\n", " print(f\" {label}: {score:.2f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need the `arqee` package for a complete visualization.\n", "The colored overlay shows the predicted regional image quality for each myocardial region." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "%pip install git+https://github.com/GillesVanDeVyver/arqee" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: \u001b[32mSuccesfully saved GIF to -> \u001b[33m./myocardial_image_quality.gif\u001b[0m\u001b[0m\n" ] } ], "source": [ "import arqee\n", "\n", "frames = []\n", "for image, mask, labels in zip(batch_np, masks, scores):\n", " labels = [int(i) for i in labels]\n", " image = np.squeeze(image, axis=-1)\n", " fig, *_ = arqee.plot_quality_prediction_result(image, mask, labels)\n", " frames.append(matplotlib_figure_to_numpy(fig))\n", " plt.close(fig)\n", "\n", "save_video(frames, \"./myocardial_image_quality.gif\", fps=10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![myocardial image quality](./myocardial_image_quality.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": 2 }