Academic Radiology
Volume 17, Issue 2 , Pages 169-180, February 2010

A Process Model for Direct Correlation between Computed Tomography and Histopathology:

Application in Lung Cancer

  • Jessica C. Sieren, PhD

      Affiliations

    • Department of Internal Medicine, C325-GH, University of Iowa, Iowa City, IA 55242
    • Department of Biomedical Engineering, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Jamie Weydert, MD

      Affiliations

    • Department of Surgical Pathology, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Eman Namati, PhD

      Affiliations

    • Department of Internal Medicine, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Jacqueline Thiesse, PhD

      Affiliations

    • Department of Internal Medicine, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Jered P. Sieren, RTR MR CT

      Affiliations

    • Department of Radiology, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Joseph M. Reinhardt, PhD

      Affiliations

    • Department of Biomedical Engineering, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Eric A. Hoffman, PhD

      Affiliations

    • Department of Biomedical Engineering, C325-GH, University of Iowa, Iowa City, IA 55242
    • Department of Radiology, C325-GH, University of Iowa, Iowa City, IA 55242
    • ,
  • Geoffrey McLennan, MD, PhD

      Affiliations

    • Department of Internal Medicine, C325-GH, University of Iowa, Iowa City, IA 55242
    • Department of Biomedical Engineering, C325-GH, University of Iowa, Iowa City, IA 55242
    • Department of Radiology, C325-GH, University of Iowa, Iowa City, IA 55242
    • Corresponding Author InformationAddress correspondence to: G.M.

Received 17 June 2009; accepted 10 September 2009. published online 18 November 2009.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

 Supported by NIH R01 CA129022-01 (7/1/2007-6/30/2012), Precise Correspondence of 3D Pathology with Radiological Features in Lung Nodules.

PII: S1076-6332(09)00498-X

doi:10.1016/j.acra.2009.09.006

Academic Radiology
Volume 17, Issue 2 , Pages 169-180, February 2010

Article Tools

* Image Usage & Resolution