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Benchmarking framework for deep learning-based photoacoustic computed tomography reconstruction, comprising clinically relevant synthetic breast datasets and image quality evaluation strategies

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PACT-DL-Recon-Bench

This repository contains the source code accompanying the paper:
“Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography (PACT) with Clinically Relevant Synthetic Datasets”

Authors: Panpan Chen, Seonyeong Park, Gangwon Jeong, Refik Mert Cam, Umberto Villa, and Mark A. Anastasio

Affiliation: University of Illinois Urbana–Champaign

Status: 🔧 This repository is currently being prepared for public release.

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Benchmarking framework for deep learning-based photoacoustic computed tomography reconstruction, comprising clinically relevant synthetic breast datasets and image quality evaluation strategies

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