{
  "annotation_id": "f3411a12-5e10-49c2-80a5-dce9936208e2",
  "date_created": "2026-03-02T18:01:14.816000Z",
  "date_modified": "2026-03-02T18:01:14.816000Z",
  "file_hash": "bb4a38feaffedb11823454dfd7e76d393577f8ab3156268811752c451eb3bdfd",
  "private": false,
  "record": {
    "abstract": "In this paper we present a methodology to adress the problem of brain tissue\ndeformation referred to as \"brainshift\". This deformation occurs throughout a\nneurosurgery intervention and strongly alters the accuracy of the\nneuronavigation systems used to date in clinical routine which rely solely on\npreoperative patient imaging to locate the surgical target, such as a tumour or\na functional area. After a general description of the framework of our\nintraoperative image-guided system, we propose a biomechanical model of the\nbrain which can take into account interactively such deformations as well as\nsurgical procedures that modify the brain structure, like tumour or tissue\nresection.",
    "arxiv_id": "physics/0610185",
    "authors": [
      "Marek Bucki",
      "Yohan Payan"
    ],
    "categories": [
      "physics.med-ph"
    ],
    "title": "Framework and Bio-Mechanical Model for a Per-Operative Image-Guided   Neuronavigator Including \u0027Brain-Shift\u0027 Compensation",
    "url": "https://arxiv.org/abs/physics/0610185"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "7b30d88e-fab6-44af-8791-6feaa13c7738",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}