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Photoacoustic Cystography

Photoacoustic Cystography

Published on: June 11, 2013

PATLAB: A graphical computational software package for photoacoustic computed tomography research.

P Omidi^1,2, L C M Yip^1,3, E Rascevska^1,2

¹Imaging Program, Lawson Health Research Institute, 268 Grosvenor St., London, ON N6A 4V2, Canada.

|October 3, 2022

Summary

Researchers can now simulate and reconstruct images using PATLAB, a new open-source software for photoacoustic tomography (PAT). This tool aids in developing advanced methods for high-resolution tissue imaging.

Keywords:

Back projection Filtered back projection Image reconstruction Photoacoustic tomography Time reversal Universal back projection

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Area of Science:

Biomedical optics
Medical imaging technology
Computational imaging

Background:

Photoacoustic tomography (PAT) offers high-resolution optical imaging of tissues up to several centimeters deep.
PAT has been a research focus for over 30 years, with ongoing intensive research.
A significant gap exists in comprehensive, open-source graphical software for PAT simulation and reconstruction.

Purpose of the Study:

Introduce PATLAB, a novel open-source MATLAB-based software package.
Provide researchers with a tool for both PAT simulation and image reconstruction.
Offer a user-friendly yet powerful platform for complex PAT data processing and method development.

Main Methods:

Developed an open-source graphical software package using MATLAB.
Integrated functionalities for both simulating photoacoustic signals and reconstructing images.
Designed the software for ease of use while supporting advanced data processing.

Main Results:

PATLAB enables comprehensive simulation and reconstruction for photoacoustic tomography.
The software is user-friendly for basic tasks and provides a framework for advanced users.
Facilitates the development and testing of new PAT methods.

Conclusions:

PATLAB addresses the need for an accessible, open-source tool in the PAT research community.
This software package can accelerate research and development in high-resolution biomedical imaging.
Empowers researchers to explore and innovate within photoacoustic tomography.