Development and Evaluation of Sterographic Display for Lung Cancer Screening

Abstract

The main purpose of this project is to investigate the feasibility and efficacy of using a stereo display workstation for lung cancer screening on CT images. The tasks included in this project are development and evaluation of stereo image projection and display for chest CT images, observer performance evaluation for the stereo display, and stereo feature analysis and comparison to the conventionally used display methods for lung cancer detection. During this progress period, we have made progress in following tasks: 1) Building stereo display workstation for chest CT images: we have investigated effects of several commonly used compositing methods on nodule representation and detection in stereo CT images. Among these methods, conventional maximum intensity projection (MIP) produced the highest image contrast, but gave ambiguities in local geometric detail and texture, whereas averaging compositing resulted in the lowest contrast, but preserved geometric details. Distance-weighted MIP partially recovered geometric information, which was lost in images composited by conventional MIP. 2) Preparing cases for observer performance study: to get consensus truth of the cases collected for this project, three radiologists have read the cases and recorded their subjective ratings on conventional workstation. Inter- and intra-reader variations have been calculated, and will be compared with the readings from stereo display. 3) Conducting pilot observer performance study: six radiologists have participated a pilot observer performance study. The study has three display modes, conventional slice-by-slice mode, conventional MIP display mode and stereo display mode. The performance of lung nodule detection and characterization are examined and compared for the three modes.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA448578

Entities

People

  • Carl R. Fuhrman
  • David Gur
  • Howard E. Rockett
  • Walter F. Good
  • Xiao H. Wang

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Cancer
  • Cancer Screening
  • Detection
  • Health Services
  • Human-Machine Interaction
  • Image Processing
  • Lung Cancer
  • Medical Personnel
  • Neoplasms
  • Observers
  • Optical Properties
  • Pilot Studies
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional
  • X-Ray Computed Tomography

Readers

  • Human-Computer Interaction (HCI).
  • Oncology and Biomarker-Based Cancer Detection.