{
  "annotation_id": "40350739-cf99-43c5-8d3e-3df925a22577",
  "date_created": "2026-03-02T18:01:10.867000Z",
  "date_modified": "2026-03-02T18:01:10.867000Z",
  "file_hash": "63cbb781b3287b77d5fbafdc27cbbeef8fef53ea5c3e8784b35cf423615f5d4d",
  "private": false,
  "record": {
    "abstract": "This paper presents a method to register a preoperative CT volume to a sparse\nset of intraoperative US slices. In the context of percutaneous renal puncture,\nthe aim is to transfer a planning information to an intraoperative coordinate\nsystem. The spatial position of the US slices is measured by localizing a\ncalibrated probe. Our method consists in optimizing a rigid 6 degree of freedom\n(DOF) transform by evaluating at each step the similarity between the set of US\nimages and the CT volume. The images have been preprocessed in order to\nincrease the relationship between CT and US pixels. Correlation Ratio turned\nout to be the most accurate and appropriate similarity measure to be used in a\nPowell-Brent minimization scheme. Results are compared to a standard rigid\npoint-to-point registration involving segmentation, and discussed.",
    "arxiv_id": "physics/0606216",
    "authors": [
      "Antoine Leroy",
      "Pierre Mozer",
      "Yohan Payan",
      "Jocelyne Troccaz"
    ],
    "categories": [
      "physics.med-ph",
      "physics.ins-det"
    ],
    "journal_ref": "Lecture notes in computer science (LNCS) 3216 (2004) 837-844",
    "title": "Rigid Registration of Freehand 3D Ultrasound and CT-Scan Kidney Images",
    "url": "https://arxiv.org/abs/physics/0606216"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f581bfff-0583-4400-a2c3-c742ada660a2",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}