SPIE Startup Challenge 2015 Founding Partner - JENOPTIK Get updates from SPIE Newsroom
  • Newsroom Home
  • Astronomy
  • Biomedical Optics & Medical Imaging
  • Defense & Security
  • Electronic Imaging & Signal Processing
  • Illumination & Displays
  • Lasers & Sources
  • Micro/Nano Lithography
  • Nanotechnology
  • Optical Design & Engineering
  • Optoelectronics & Communications
  • Remote Sensing
  • Sensing & Measurement
  • Solar & Alternative Energy
  • Sign up for Newsroom E-Alerts
  • Information for:
    Advertisers
SPIE Photonics West 2017 | Register Today

SPIE Defense + Commercial Sensing 2017 | Call for Papers

2017 SPIE Optics + Photonics | Call for Papers

Get Down (loaded) - SPIE Journals OPEN ACCESS

SPIE PRESS




Print PageEmail Page

Biomedical Optics & Medical Imaging

Geoffrey D. Rubin: Critical Path Technology -- Volumetric Analyses in the Interpretation of CT Data

A plenary presentation from SPIE Medical Imaging 2013

11 March 2013, SPIE Newsroom. DOI: 10.1117/2.3201303.11

Geoffrey D. Rubin, M.D.Geoffrey D. Rubin, M.D. is George Barth Geller Professor of Radiology and Bioengineering Chair in the Department of Radiology at Duke University Medical Center (United States).

Computed tomography has evolved from a planar to a volumetric imaging modality. Initiated in the 1990s by the introduction of spiral CT scanning, the evolution was complete with the development of multi-detector row CT scanners capable of acquiring clinically practical isotropic datasets. This capability has been accompanied by an explosion in imaging applications, particularly in the planning and monitoring of minimally invasive therapies. As an accurate characterization of the diseased anatomy is critical to the selection and sizing of medical devices, volumetric analyses, both qualitative and quantitative have become necessary elements of clinical CT examinations. This presentation will review the development, evolution, and application of volumetric analyses in CT and how they have become critical elements for maximizing the utility of the CT scan.