waltsims / dbua

Code repository for the 2023 MICCAI Paper "Differentiable Beamforming for Ultrasound Autofocusing"
MIT License
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differentiable jax ultrasound

Differentiable Beamforming for Ultrasound Autofocusing

Project Page | Paper | Pre-Print | Data

Walter Simson, Louise Zhuang, Sergio Sanabria, Neha Antil, Jeremy Dahl, Dongwoon Hyun
Stanford University

This is the official implementation of the paper "Differentiable Beamforming for Ultrasound Autofocusing."

dbua_video

High-Level Overview

Getting Started

This project requires ffmpeg to be installed to save mp4 files. If you have not already, install ffmpeg on Ubuntu by running:

sudo apt-get install ffmpeg

You can install the required Python dependencies like this:

micromamba env create -f environment.yml
micromamba activate dbua

Then, install JAX using the instructions for the pip GPU installation method found here.

Reproducing results

The hyperparameters set in dbua can be used to reproduce the results from the paper. The data from the paper can be found in the release on GitHub, and the mat files should be placed in the data/ directory of this repository:

data
├── 1420.mat
├── 1465.mat
├── 1480.mat
├── 1510.mat
├── 1540.mat
├── 1555.mat
├── 1570.mat
├── checker2.mat
├── checker8.mat
├── four_layer.mat
├── inclusion_layer.mat
├── inclusion.mat
├── README.md
└── two_layer.mat

Run the program with this command:

python dbua.py

Citation

@inproceedings{simson2023dbua,
            title={Differentiable Beamforming for Ultrasound Autofocusing},
            author={Simson, Walter and Zhuang, Louise and Sanabria, Sergio J and Antil, Neha and Dahl, Jeremy J and Hyun, Dongwoon},
            booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
            pages={428--437},
            year={2023},
            organization={Springer}
          }

FAQ:

Attribute Detail
OS Ubuntu Linux
RAM 32GB
GPU NVIDIA RTX A6000 (48 GB VRAM)
CUDA Version 12.1