TY  - GEN
KW  - Science & Technology
KW  -  Physical Sciences
KW  -  Life Sciences & Biomedicine
KW  -  Optics
KW  -  Radiology
KW  -  Nuclear Medicine & Medical Imaging
KW  -  Quantitative photoacoustic tomography
KW  -  statistical independence
KW  -  model-based inversion
KW  -  mutual information
KW  -  gradient-based minimisation
KW  -  experimental uncertainty
KW  -  multiwavelength
KW  -  RANGE
A1  - An, L
A1  - Saratoon, T
A1  - Fonseca, M
A1  - Ellwood, R
A1  - Cox, B
T3  - Proceedings of SPIE
SN  - 0277-786X
UR  - http://doi.org/10.1117/12.2250290
PB  - Society of Photo-Optical Instrumentation Engineers (SPIE)
ID  - discovery1570831
N2  - To unlock the full capability of photoacoustic tomography as a quantitative, high resolution, molecular imaging modality, the problem of quantitative photoacoustic tomography must be solved. The aim in this is to extract clinically relevant functional information from photoacoustic images by finding the concentrations of the chromophores in the tissue. This is a challenging task due to the effect of the unknown but spatially and spectrally varying light fluence within the tissue. Many inversion schemes that include a model of the fluence have been proposed, but these have yet to make an impact in pre-clinical or clinical imaging. In this study, the statistical independence of the chromophore's distributions is proposed as a means of improving the robustness and hence the usefulness of the model-based inversion methods. This was achieved by minimising the mutual information between the estimated chromophore distributions in addition to the least squares data error within a gradient-based optimisation scheme. By applying the proposed inversion scheme to simulated multiwavelength photoacoustic images, it was shown that more accurate estimates for the concentrations of independent chromophores could be obtained in the presence of errors in the model parameters.
N1  - © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). This version is the version of record. For information on re-use, please refer to the publisher?s terms and conditions.
EP  - 10064197
SP  - 10064191
AV  - public
Y1  - 2017/03/23/
TI  - Exploiting statistical independence for quantitative photoacoustic tomography
ER  -