{
  "annotation_id": "caef2189-2605-4c6a-8abd-4f073c25ff65",
  "date_created": "2026-03-02T18:01:00.641000Z",
  "date_modified": "2026-03-02T18:01:00.641000Z",
  "file_hash": "0f0ee2ce273f445a88cbaa0fe020981f87926b075f142dc461907c2b0a6c02f4",
  "private": false,
  "record": {
    "abstract": "In Single Photon Emission Computed Tomography (SPECT), 3D images usually\nreconstructed by performing a set of bidimensional (2D) analytical or iterative\nreconstructions can also be reconstructed using an iterative reconstruction\nalgorithm involving a 3D projector. Accurate Monte Carlo (MC) simulations\nmodeling all the physical effects that affect the imaging process can be used\nto estimate this projector. However, the accuracy of the projector is affected\nby the stochastic nature of MC simulations. In this paper, we study the\naccuracy of the reconstructed images with respect to the number of simulated\nhistories used to estimate the MC projector. Furthermore, we study the impact\nof applying the bootstrapping technique when estimating the projector",
    "arxiv_id": "physics/0507176",
    "authors": [
      "Z. El Bitar",
      "I. Buvat",
      "V. Breton",
      "D. Lazaro",
      "D. Hill"
    ],
    "categories": [
      "physics.ins-det",
      "cond-mat.stat-mech"
    ],
    "journal_ref": "Dans Open international conference on modeling and simulation\n  (2005) 415-429",
    "title": "Monte Carlo tomographic reconstruction in SPECT impact of bootstrapping   and number of generated events",
    "url": "https://arxiv.org/abs/physics/0507176"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a7543d47-6251-4db3-a367-cbdb31c1f49a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}