Quantitative Photo-acoustic Tomography with Partial Data
Abstract
Photo-acoustic tomography is a newly developed hybrid imaging modality that combines a high-resolution modality with a high-contrast modality. We analyze the reconstruction of diffusion and absorption parameters in an elliptic equation and improve an earlier result of Bal and Uhlmann to the partial date case. We show that the reconstruction can be uniquely determined by the knowledge of 4 internal data based on well-chosen partial boundary conditions. Stability of this reconstruction is ensured if a convexity condition is satisfied. Similar stability result is obtained without this geometric constraint if 4n well-chosen partial boundary conditions are available, where is the spatial dimension. The set of well-chosen boundary measurements is characterized by some complex geometric optics (CGO) solutions vanishing on a part of the boundary.
Cite
@article{arxiv.1204.2213,
title = {Quantitative Photo-acoustic Tomography with Partial Data},
author = {Jie Chen and Yang Yang},
journal= {arXiv preprint arXiv:1204.2213},
year = {2015}
}
Comments
arXiv admin note: text overlap with arXiv:0910.2503