TH‐C‐342‐01: Image Display, Processing and Analysis (CAD)

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Abstract

Medical imaging is rapidly expanding in the manner in which images are acquired and thus the manner in which they are displayed has also become a very important issue. The presentations in this session will discuss some of the issues associated with three important links in the imaging chain with respect to the display of radiographic images: Image Display, Processing and Analysis (CAD). In each area the key to success is to develop ways to present image data to the human observer in the most efficient and informative manner, taking into account the perceptual and cognitive capabilities of the human observer. The ultimate goal is to facilitate the decision‐making process and enhance patient care — improving the radiologist's ability to render correct diagnoses with a minimum of errors. Another important consideration is how Image Display, Processing and Analysis (CAD) tools affect workflow. Radiologists are being faced with an ever increasing number of images to interpret overall and within a given case. To the extent possible, these tools should make the interpretation process more efficient rather than prolong the process. The three presentations will focus on the state‐of‐the‐art in Image Display, Processing and Analysis (CAD). Specific imaging applications will be discussed, but the underlying principles extend to medical imaging applications in general. Educational Objectives: 1. Understand the role of the display in the interpretation process and why optimization is important. 2. Understand how image processing or the rendering of image data in new ways can improve the radiologists' interpretation process. 3. Understand the basic nature of CAD and the various ways it is being used (e.g., detection and discrimination) to improve diagnostic accuracy of radiologists.

Original languageEnglish (US)
Pages (from-to)2978-2979
Number of pages2
JournalMedical Physics
Volume35
Issue number6
DOIs
Publication statusPublished - 2008

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ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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