{
  "id": "1705.06712",
  "version": "v1",
  "published": "2017-05-18T17:28:53.000Z",
  "updated": "2017-05-18T17:28:53.000Z",
  "title": "Model-based Catheter Segmentation in MRI-images",
  "authors": [
    "Andre Mastmeyer",
    "Guillaume Pernelle",
    "Lauren Barber",
    "Steve Pieper",
    "Dirk Fortmeier",
    "Sandy Wells",
    "Heinz Handels",
    "Tina Kapur"
  ],
  "comment": "MICCAI 2015 conference IMIC session",
  "categories": [
    "cs.CV"
  ],
  "abstract": "Accurate and reliable segmentation of catheters in MR-gui- ded interventions remains a challenge, and a step of critical importance in clinical workflows. In this work, under reasonable assumptions, me- chanical model based heuristics guide the segmentation process allows correct catheter identification rates greater than 98% (error 2.88 mm), and reduction in outliers to one-fourth compared to the state of the art. Given distal tips, searching towards the proximal ends of the catheters is guided by mechanical models that are estimated on a per-catheter basis. Their bending characteristics are used to constrain the image fea- ture based candidate points. The final catheter trajectories are hybrid sequences of individual points, each derived from model and image fea- tures. We evaluate the method on a database of 10 patient MRI scans including 101 manually segmented catheters. The mean errors were 1.40 mm and the median errors were 1.05 mm. The number of outliers devi- ating more than 2 mm from the gold standard is 7, and the number of outliers deviating more than 3 mm from the gold standard is just 2.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2017-05-18T17:28:53.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "model-based catheter segmentation",
      "correct catheter identification rates greater",
      "gold standard",
      "mri-images",
      "patient mri scans"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}