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Distributed Network, Wireless and Cloud Computing Enabled 3-D Ultrasound; a New Medical Technology Paradigm

Overview of attention for article published in PLOS ONE, November 2009
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Title
Distributed Network, Wireless and Cloud Computing Enabled 3-D Ultrasound; a New Medical Technology Paradigm
Published in
PLOS ONE, November 2009
DOI 10.1371/journal.pone.0007974
Pubmed ID
Authors

Arie Meir, Boris Rubinsky

Abstract

Medical technologies are indispensable to modern medicine. However, they have become exceedingly expensive and complex and are not available to the economically disadvantaged majority of the world population in underdeveloped as well as developed parts of the world. For example, according to the World Health Organization about two thirds of the world population does not have access to medical imaging. In this paper we introduce a new medical technology paradigm centered on wireless technology and cloud computing that was designed to overcome the problems of increasing health technology costs. We demonstrate the value of the concept with an example; the design of a wireless, distributed network and central (cloud) computing enabled three-dimensional (3-D) ultrasound system. Specifically, we demonstrate the feasibility of producing a 3-D high end ultrasound scan at a central computing facility using the raw data acquired at the remote patient site with an inexpensive low end ultrasound transducer designed for 2-D, through a mobile device and wireless connection link between them. Producing high-end 3D ultrasound images with simple low-end transducers reduces the cost of imaging by orders of magnitude. It also removes the requirement of having a highly trained imaging expert at the patient site, since the need for hand-eye coordination and the ability to reconstruct a 3-D mental image from 2-D scans, which is a necessity for high quality ultrasound imaging, is eliminated. This could enable relatively untrained medical workers in developing nations to administer imaging and a more accurate diagnosis, effectively saving the lives of people.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
India 2 2%
New Zealand 2 2%
Ireland 1 1%
Australia 1 1%
France 1 1%
Spain 1 1%
Luxembourg 1 1%
Unknown 74 85%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Ph. D. Student 12 14%
Researcher 9 10%
Student > Postgraduate 9 10%
Student > Doctoral Student 6 7%
Other 24 28%
Unknown 13 15%
Readers by discipline Count As %
Computer Science 23 26%
Medicine and Dentistry 19 22%
Engineering 10 11%
Social Sciences 5 6%
Agricultural and Biological Sciences 4 5%
Other 10 11%
Unknown 16 18%