Development and Evaluation of Stereographic 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. In the previous report periods, we have built a stereo display workstation for chest CT images, then conducted and analyzed a pilot observer performance study. In this annual report period, we have conducted a main observer performance study as scheduled in the proposal, and investigated spectrophotometric characteristics for further understanding and improving stereo display. The tasks we did in this period are: 1. Conducting a main study: the main study was organized as a retrospective study of 100 lung cancer screening cases containing about 560 nodules. The cases were interpreted in each of the 3 display modes by 8 radiologists who have extensive experience in reading chest CT. Collection of the interpretation data has been completed for analysis. About 1159 suspicious lesions, including true and false positives have been found in the readings and will be used for evaluation of the 3 tested display modes. 2. Investigating spectrophotometric characteristics of stereographic image pairs: to further understand the characteristics of stereo imaging and displaying, we analyzed differences in spectrophotometric characteristics between images acquired during stereographic imaging. We found that though uniform global differences can easily be corrected by applying traditional histogram matching techniques, these methods are not capable of dealing with differences that are object or distance dependent.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2007
Accession Number
ADA485390

Entities

People

  • Xiao H. Wang

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Biomedical Research
  • Cancer
  • Cancer Screening
  • Computer Stereo Vision
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Imaging Techniques
  • Lung Cancer
  • Medical Personnel
  • Neoplasms
  • Pilot Studies
  • Test And Evaluation
  • Three Dimensional

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).
  • Medical Imaging.