Cover Image

Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography with Clinically Relevant Synthetic Datasets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Panpan, Park, Seonyeong, Jeong, Gangwon, Cam, Refik Mert, Villa, Umberto, Anastasio, Mark A.
Format:	Preprint
Published:	2026
Subjects:	Medical Physics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative Photoacoustic Computed Tomography
by: Cam, Refik Mert, et al.
Published: (2025)

Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometries
by: Chen, Panpan, et al.
Published: (2024)

A Virtual Imaging Framework for Three-Dimensional Quantitative Optoacoustic Tomography Using Stochastic Numerical Breast Phantoms
by: Park, Seonyeong, et al.
Published: (2025)

A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography
by: Yang, Kaiyi, et al.
Published: (2026)

Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints
by: Jeong, Gangwon, et al.
Published: (2024)

Optimizing Quantitative Photoacoustic Imaging Systems: The Bayesian Cramér-Rao Bound Approach
by: Crafts, Evan Scope, et al.
Published: (2024)

Stochastic numerical head phantoms to enable virtual imaging studies of transcranial photoacoustic computed tomography
by: Huang, Hsuan-Kai, et al.
Published: (2025)

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography
by: Jeong, Gangwon, et al.
Published: (2023)

Technical Note: An Efficient Implementation of the Spherical Radon Transform with Cylindrical Apertures
by: Lozenski, Luke, et al.
Published: (2024)

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction
by: Lozenski, Luke, et al.
Published: (2024)

FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography
by: Gao, Zijian, et al.
Published: (2022)

Spatial Sampling of Hemispherical Arrays for Three-Dimensional Photoacoustic Computed Tomography
by: Zhang, Wanqing, et al.
Published: (2026)

Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction
by: Dey, Sreemanti, et al.
Published: (2024)

Spiral Scanning and Self-Supervised Image Reconstruction Enable Ultra-Sparse Sampling Multispectral Photoacoustic Tomography
by: Zhong, Yutian, et al.
Published: (2024)

Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report
by: Huijben, Evi M. C., et al.
Published: (2024)

Proton Computed Tomography Image Reconstruction Based on the Richardson-Lucy Algorithm
by: Bíró, Gábor, et al.
Published: (2022)

Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography
by: Vazia, Corentin, et al.
Published: (2024)

An Ingestible Light Source for Deep Photoacoustic Imaging
by: Garrett, David C., et al.
Published: (2026)

Advancing Positron Emission Tomography Image Quantification: Artificial Intelligence-Driven Methods, Clinical Challenges, and Emerging Opportunities in Long-Axial Field-of-View Positron Emission Tomography/Computed Tomography Imaging
by: Yousefirizi, Fereshteh, et al.
Published: (2025)

Facilitating Computed Tomography Education in Clinical Practice
by: Matthew Russell, et al.
Published: (2026)

New Methods for Computer Tomography Based Ion Thruster Diagnostics and Simulation
by: Krenzer, Jörn, et al.
Published: (2024)

Photoacoustics on the go: An Embedded Photoacoustic Sensing Platform
by: Xu, Talia, et al.
Published: (2025)

A Memory-Efficient Dynamic Image Reconstruction Method using Neural Fields
by: Lozenski, Luke, et al.
Published: (2022)

Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
by: Li, Kaiyan, et al.
Published: (2025)

Deep Tissue Sensing of Chiral Molecules using Polarization Enhanced Photoacoustics
by: Padmanabhan, Swathi, et al.
Published: (2024)

Time-Domain Reconstruction of the Speed of Sound in Ring-Array Ultrasound Computed Tomography with Randomized Super-Shots
by: Forte, Luca A.
Published: (2025)

Image Reconstruction in Cone Beam Computed Tomography Using Controlled Gradient Sparsity
by: Meaney, Alexander, et al.
Published: (2024)

Artifacts in Photoacoustic Imaging: Origins and Mitigations
by: Rietberg, Max T., et al.
Published: (2025)

HDN: Hybrid Deep-Learning and Non-Line-of-Sight Reconstruction Framework for Transcranial Photoacoustic Imaging of Human Brain
by: Wan, Pengcheng, et al.
Published: (2024)

PyTomography: A Python Library for Medical Image Reconstruction
by: Polson, Lucas A., et al.
Published: (2023)

Incorporating Cyclic Group Equivariance into Deep Learning for Reliable Reconstruction of Rotationally Symmetric Tomography Systems
by: Zhang, Yaogong, et al.
Published: (2025)

Transcranial Photoacoustic Imaging for Human Intracranial Pressure Evaluation
by: Sun, Ruixi, et al.
Published: (2025)

Super Phantoms: advanced models for testing medical imaging technologies
by: Manohar, Srirang, et al.
Published: (2023)

Benchmarking Open-Source FDK Against Commercial and Iterative Reconstruction Methods for Preclinical Micro-CBCT
by: Wiegmann, Falk L, et al.
Published: (2026)

Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models
by: Lozenski, Luke, et al.
Published: (2025)

Practical Global Backprojection-Convolution in Transmission Cone-beam Computed Tomography
by: Grewar, Murdock, et al.
Published: (2024)

Unsupervised Learning for Inverse Problems in Computed Tomography
by: Hellwege, Laura, et al.
Published: (2025)

Approaches to Computed Tomography Education for Radiography Students
by: Yobelli Alexandra Jimenez, et al.
Published: (2026)

Photoacoustic image reconstruction via deep learning
by: Antholzer, Stephan, et al.
Published: (2019)

Algebraic Methods and Computational Strategies for Pseudoinverse-Based MR Image Reconstruction (Pinv-Recon)
by: Yeung, Kylie, et al.
Published: (2024)