The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans

Samuel G Armato, Geoffrey McLennan, Luc Bidaut, Michael F McNitt-Gray, Charles R Meyer, Anthony P Reeves, Binsheng Zhao, Denise R Aberle, Claudia I Henschke, Eric A Hoffman, Ella A Kazerooni, Heber MacMahon, Edwin van Beek, David Yankelevitz, Alberto M Biancardi, Peyton H Bland, Matthew S Brown, Roger M Engelmann, Gary E Laderach, Daniel MaxRichard C Pais, David P Y Qing, Rachael Y Roberts, Amanda R Smith, Adam Starkey, Poonam Batrah, Philip Caligiuri, Ali Farooqi, Gregory W Gladish, C Matilda Jude, Reginald F Munden, Iva Petkovska, Leslie E Quint, Lawrence H Schwartz, Baskaran Sundaram, Lori E Dodd, Charles Fenimore, David Gur, Nicholas Petrick, John Freymann, Justin Kirby, Brian Hughes, Alessi Vande Casteele, Sangeeta Gupte, Maha Sallamm, Michael D Heath, Michael H Kuhn, Ekta Dharaiya, Richard Burns, David S Fryd, Marcos Salganicoff, Vikram Anand, Uri Shreter, Stephen Vastagh, Barbara Y Croft

Research output: Contribution to journalArticlepeer-review

Abstract

The development of computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well-characterized repository of computed tomography (CT) scans. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) completed such a database, establishing a publicly available reference for the medical imaging research community. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process.
Original languageEnglish
Pages (from-to)915-31
Number of pages17
JournalMedical physics
Volume38
Issue number2
DOIs
Publication statusPublished - 2011

Keywords

  • lung nodule
  • Computed tomography
  • thoracic imaging
  • interobserver variability
  • computer-aided diagnosis (CAD)

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