Thoracic Imaging: Page 164

New method reduces scatter in portable x-ray systems
By Kathlyn Stone
Researchers at Emory University's Winship Cancer Institute and GE Global Research are collaborating on a software-based method for reducing scatter in portable systems. Tested on thorax phantom images, the algorithm reduced the x-ray signal by 50% to 100% without loss of image quality.
August 21, 2008
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Biological 'fingerprints' help identify mislabeled chest x-rays
By Cynthia E. Keen
When patient images end up misfiled in PACS, the process of identifying them can be laborious and time-consuming. Now Japanese researchers say they've found a solution with an image-matching technique that uses biological "fingerprints" of posteroanterior chest radiographs to match unknown x-rays to prior images.
August 19, 2008
IDC takes Texas order
By AuntMinnie.com staff writers
Canadian digital radiography (DR) developer Imaging Dynamics (IDC) has received an order for its 1600 Plus X-Series DR system from Doctors Hospital at Renaissance in Edinburg, TX.
August 12, 2008
JPEG 2000 compression artifacts more prevalent in thin-section CT images
By Erik L. Ridley
Joint Photographic Experts Group (JPEG) 2000 compression produces more artifacts in thin-section lung CT images than in thick-section images, according to research published in the American Journal of Roentgenology.
August 12, 2008
CAD steals show from U.S. research database
By Eric Barnes
A painstakingly compiled database of CT lung scans was no match for a university's computer-aided detection (CAD) system. The CAD system found more lung nodules in more patients than the original expert reader panel, which had reviewed each scan twice.
August 11, 2008
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Digital tomosynthesis beats standard DR in finding chest lesions
By Brian Casey
Early clinical results with a digital radiography (DR)-based tomosynthesis system indicate that it outperforms conventional digital x-ray in detecting pulmonary nodules. Duke University researchers found that tomosynthesis had triple the sensitivity of standard DR for detecting nodules large enough to require further diagnostic workup.
August 10, 2008
CT databases aimed at lung imaging research
By Eric Barnes
The lack of quality controlled imaging databases has complicated lung cancer research, but help is on the way. A multiyear, multicenter project funded by the National Cancer Institute is delivering new lung imaging databases on which computer-aided detection (CAD) systems can be tested.
August 7, 2008
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Surrogate organs stand in for lung tumors during fluoroscopic tracking
By Kathlyn Stone
Working from the premise that other more visible anatomic features move in concert with lung tumors, researchers have developed a computer algorithm that uses these visible features as tumor stand-ins. In a feasibility study, the method localized the tumor position to an accuracy of within 1 mm and 2.5 mm.
August 7, 2008
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PACS data-mining tool analyzes CR retake rates
By Brian Casey
Researchers from Spain have developed software that analyzes PACS data to automatically perform quality control analysis of retake rates of computed radiography studies. They believe their QC tool could make it easier for imaging facilities to reduce retakes and improve the overall quality of service.
August 4, 2008
Novel CAD concept reduces lung nodule false positives
By Eric Barnes
A new computer-aided detection (CAD) algorithm detected more lung nodules with fewer false positives than conventional schemes, potentially delivering a better and more cost-effective way to screen for lung cancer with CT.
August 3, 2008
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Riverain gets VA contract
By AuntMinnie.com staff writers
Computer-aided detection (CAD) developer Riverain Medical has received a contract from the U.S. Department of Veterans Affairs for its OnGuard CAD technology.
July 22, 2008
CAD offers potential for diagnosing pediatric pneumonia
By Erik L. Ridley
Computer-aided detection technology can assist in diagnosing pneumonia on chest radiographs in children, according to research published in the August issue of the International Journal of Medical Informatics.
July 22, 2008
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