tal treatment. The total number of pairs was
3,600. The system produced three candidates to match each patient's x-ray.
Computation time averaged 3.6 seconds per pair. The recognition rate was 87
percent for the first candidate, increased to 98 percent for the second
candidate and to 100 percent for the third. These top three candidates were
then evaluated by forensic experts for the final matching decision, thus
cutting the workload of the experts by 95 percent.
"Our testing has demonstrated the accuracy and efficiency of the
image-matching system," said study co-author Koichi Ito, Ph.D., assistant
professor at the Graduate School of Information Sciences at Tohoku
University in Japan.
Drs. Kosuge and Ito predict that the system can be put into practice
within a year.
"In the case of a mass disaster, the public will never know that this
system was used," Dr. Kosuge said. "What they will know is that instead of
waiting a month for their loved ones to be returned, they will wait only
days."
Co-authors are R. Kawamata, D.D.S., I. Kashima, Ph.D., A. Nikaido,
B.Eng., and T. Aoki, Ph.D.
Note: Copies of RSNA 2007 news releases and electronic images will be
available online at RSNA.org/press07 beginning Monday, Nov. 26.
RSNA is an association of more than 41,000 radiologists, radiation
oncologists, medical physicists and related scientists committed to
excellence in patient care through education and research. The Society is
based in Oak Brook, Ill. (RSNA.org)
Editor's note: The data in these releases may differ from those in the
printed abstract and those actually presented at the meeting, as
researchers continue to update their data right up until the meeting. To
ensure you are using the most up-to-date information, please call the RSNA
Newsroom at 1-312-949-3233.
AT A GLANCE
-- Researchers have developed an automated dental radiograph (x-ray)
matching system that can identify victims of mass di
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SOURCE Radiological Society of North America Copyright©2007 PR Newswire. All rights reserved | |
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