Korean J Radiol.  2013 Apr;14(2):139-153. 10.3348/kjr.2013.14.2.139.

An Engineering View on Megatrends in Radiology: Digitization to Quantitative Tools of Medicine

Affiliations
  • 1Medical Engineering R&D Center, Asan Medical Center, Seoul 138-736, Korea.
  • 2Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 138-736, Korea. namkugkim@gmail.com
  • 3R&D Department, Coreline Soft, Co. Ltd., Seoul 137-897, Korea.
  • 4Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul 110-744, Korea.

Abstract

Within six months of the discovery of X-ray in 1895, the technology was used to scan the interior of the human body, paving the way for many innovations in the field of medicine, including an ultrasound device in 1950, a CT scanner in 1972, and MRI in 1980. More recent decades have witnessed developments such as digital imaging using a picture archiving and communication system, computer-aided detection/diagnosis, organ-specific workstations, and molecular, functional, and quantitative imaging. One of the latest technical breakthrough in the field of radiology has been imaging genomics and robotic interventions for biopsy and theragnosis. This review provides an engineering perspective on these developments and several other megatrends in radiology.

Keyword

Being digital; Computer-aided diagnosis; Imaging genomics, picture archiving and communication system, quantitative imaging, robotic interventions

MeSH Terms

Biological Markers/analysis
Biomedical Engineering
Diagnosis, Computer-Assisted/*trends
Diagnostic Imaging/*trends
Equipment Design
Genomics
Humans
Image Processing, Computer-Assisted/*trends
Radiology Information Systems/*trends
Robotics
Systems Integration
User-Computer Interface
Biological Markers

Figure

  • Fig. 1 Digitization of medical image.

  • Fig. 2 ImageChecker computer aided diagnosis for Digital Mammography by Hologic Inc.

  • Fig. 3 Toshiba's cardiology imaging solution.A. Ultrasound. B. CT. C. X-ray. D. MRI

  • Fig. 4 Pulmonary functional imaging using dual-energy CT.A. Xenon ventilation map. B. Iodine perfusion map

  • Fig. 5 Portable display devices.A. MIM mobile software with mobile devices. B. Pico-projector (Samsung SP-H03TM)

  • Fig. 6 3D input devices.A. User interaction with 3D mouse. B. Haptic device (Sensible PHANToM Omni™)

  • Fig. 7 Stereo cameras.A. NDI Polaris system and passive markers. B. Microsoft Kinect™

  • Fig. 8 UCSC Genome Browser.UCSC = University of California-Santa Cruz


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