{
  "id": "2012.11000",
  "version": "v1",
  "published": "2020-12-20T19:12:16.000Z",
  "updated": "2020-12-20T19:12:16.000Z",
  "title": "Iterative regularization methods for a discrete inverse problem in MRI",
  "authors": [
    "A. Leitao",
    "J. Zubelli"
  ],
  "comment": "11 pages",
  "journal": "CUBO, A Mathematical Journal 10 (2008), no. 2, 137-146",
  "categories": [
    "math.NA",
    "cs.NA"
  ],
  "abstract": "We propose and investigate efficient numerical methods for inverse problems related to Magnetic Resonance Imaging (MRI). Our goal is to extend the recent convergence results for the Landweber-Kaczmarz method obtained in [Haltmeier, Leitao, Scherzer 2007], in order to derive a convergent iterative regularization method for an inverse problem in MRI.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2020-12-20T19:12:16.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "65J20",
      "47A52"
    ],
    "keywords": [
      "discrete inverse problem",
      "convergent iterative regularization method",
      "convergence results",
      "landweber-kaczmarz method",
      "efficient numerical methods"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 11,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}