{
  "id": "1405.2679",
  "version": "v1",
  "published": "2014-05-12T09:05:51.000Z",
  "updated": "2014-05-12T09:05:51.000Z",
  "title": "Reconstruction and stability in acousto-optic imaging for absorption maps with bounded variation",
  "authors": [
    "Habib Ammari",
    "Loc Hoang Nguyen",
    "Laurent Seppecher"
  ],
  "categories": [
    "math.AP"
  ],
  "abstract": "The aim of this paper is to propose for the first time a reconstruction scheme and a stability result for recovering from acoustic-optic data absorption distributions with bounded variation. The paper extends earlier results on smooth absorption distributions. It opens a door for a mathematical and numerical framework for imaging, from internal data, parameter distributions with high contrast in biological tissues.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2014-05-12T09:05:51.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "bounded variation",
      "absorption maps",
      "acousto-optic imaging",
      "reconstruction",
      "paper extends earlier results"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2014arXiv1405.2679A"
    }
  }
}