Resources: Page 468

Advanced visualization method slashes VC interpretation times
By Erik L. Ridley
Thursday, December 2 | 10:50 a.m.-11:00 a.m. | SSQ05-03 | Room E353CIn this paper presentation, a German team will share how a new 3D visualization technique can provide fast and accurate interpretation of virtual colonoscopy images.
November 14, 2010
Can facial recognition software identify patients based on 3D facial images?
By Erik L. Ridley
Thursday, December 2 | 10:50 a.m.-11:00 a.m. | SSQ10-03 | Room S402ABResearchers from Weill Cornell Medical College in New York City examined the potential for facial recognition software to match patient photos with their 3D images, in this study to be presented on Thursday.
November 14, 2010
iPad offers potential in radiology
By Erik L. Ridley
Wednesday, December 1 | 12:45 p.m.-1:15 p.m. | LL-INS-WE1B | Lakeside Learning CenterResearchers from Nassau University Medical Center in East Meadow, NY, will examine in this poster presentation how the iPad might aid radiology.
November 14, 2010
Elastography CAD application equals radiologist interpretation
By Brian Casey
Wednesday, December 1 | 11:20 a.m.-11:30 a.m. | SSK12-06 | Room N229In a positive early finding, South Korean researchers found that the use of a computer-aided detection (CAD) algorithm to generate ultrasound elasticity scores in thyroid scans worked as well as radiologists generating the scores on their own.
November 14, 2010
Concurrent use of CAD fares well in low-dose CT
By Erik L. Ridley
Wednesday, December 1 | 10:40 a.m.-10:50 a.m. | SSK05-02 | Room S404CDWhat are the effects of running a computer-aided detection (CAD) algorithm concurrently during the reading process for low-dose CT studies? A group from Kobe University in Japan sought answers in this study.
November 14, 2010
Automatic segmentation algorithm yields workflow gains
By Erik L. Ridley
Tuesday, November 30 | 3:20 p.m.-3:30 p.m. | SSJ14-03 | Room S402ABResearchers from software giant Microsoft of Redmond, WA, will show an automated full-body CT segmentation algorithm that can provide access to quantitative information, among other benefits.
November 14, 2010
VC CAD helps radiologists detect difficult polyps
By Erik L. Ridley
Tuesday, November 30 | 11:50 a.m.-12:00 p.m. | SSG13-09 | Room S403AIn another presentation from the University of Chicago, researchers will show how virtual colonoscopy computer-aided detection (CAD) software can assist in identifying difficult polyps.
November 14, 2010
New VC CAD technique powers up sensitivity for flat lesions
By Erik L. Ridley
Tuesday, November 30 | 11:30 a.m.-11:40 a.m. | SSG13-07 | Room S403AIn this Tuesday paper presentation, a University of Chicago team will share its results with a new computer-aided detection (CAD) technique that may yield higher sensitivity for the all-important flat lesions found on virtual colonoscopy.
November 14, 2010
CAD aids in assessing breast amorphous calcifications
By Erik L. Ridley
Tuesday, November 30 | 11:30 a.m.-11:40 a.m. | SSG01-07 | Room E450AIn this session, researchers from Princess Margaret Hospital in Toronto will present data showing a high sensitivity for computer-aided detection (CAD) technology in detecting amorphous calcifications on full-field digital mammography studies.
November 14, 2010
Automatic segmentation technique shows promise for CT urograms
By Erik L. Ridley
Tuesday, November 30 | 11:20 a.m.-11:30 a.m. | SSG13-06 | Room S403AResearchers from the University of Michigan in Ann Arbor have developed an automatic bladder lesion segmentation technique for CT urograms. Presenter Lubomir Hadjiiski, PhD, will share the details of their study in this session on Tuesday.
November 14, 2010
Interactive breast ultrasound CAD improves lesion characterization
By Erik L. Ridley
Tuesday, November 30 | 11:10 a.m.-11:20 a.m. | SSG01-05 | Room E450AIn this Tuesday scientific session, a Canadian research team will share details on why computer-aided detection (CAD) can be a useful adjunctive tool for interpreting breast ultrasound studies.
November 14, 2010
New CAD approach reduces false-positives for HCC
By Erik L. Ridley
Tuesday, November 30 | 10:30 a.m.-10:40 a.m. | SSG13-01 | Room S403AA University of Chicago team will provide an update on its development of computer-aided detection (CAD) software for addressing hepatocellular carcinoma (HCC), according to this paper to be presented on Tuesday morning.
November 14, 2010
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