archiveDatamu.zip

# GENERAL INFORMATION

The dataset here includes codes and porosity map and deduced chromophore
concentration maps used to illustrate the paper:
"Capart, A., Allais, R., Wojak, J., Boiron, O., & Da Silva, A. (2025).
Quantitative photo-acoustic Imaging based on data normalisation:
application to the reconstruction of the opto-mechanical properties of
the intervertebral disc.
Biomedical Physics & Engineering Express, 11(6), 065017."

## Dataset title: Quantitative photo-acoustic Imaging based on data normalisation : application to the reconstruction of the opto-mechanical properties of the intervertebral disc

## DOI: https://doi.org/10.57745/0BBX8U

## Contact email: [e-mail]

# METHODOLOGICAL INFORMATION
The dataset here include codes and porosity map. Two reconstructions
scenarii are proposed: (i) using a knonw Gruneinsen parameter (G) to
estimate water and colagen concentrations
(ii) estimating Gruneisen parameter, water and colagen concentration

## Requirements:
All the code is implemented using matlab, the Curve Fitting Toolbox
is required

An external Library MC matlab included in the dataset is needed.
https://github.com/ankrh/MCmatlab (doi:10.1117/1.JBO.23.12.121622)

Some files are written in c, using a "mex" compilation to be used
from matlab. Compilation instructions are in the file:
2-SimulationsAndReconstructions/mex_compilation_intructions.txt

# DATA & FILE OVERVIEW
Two repository are in the dataset:
1-ReadInputs
It illustrates how to read the porosity map and how to create
synthetics measurements
2-SimulationsAndReconstructions
It illustrates the full process from synthetic measurements creation
to retrieve chromophores concentration using the inversion algorithm.
The entry points are the two scripts:
- Example_G_known.m
- Example_G_unknown.m