Image Processing: Page 94

Standardization, technologist training boosts 3D lab performance
By Erik L. Ridley
Educational Exhibit | LL-HS5020 | Lakeside Learning CenterIn this educational exhibit, Stanford University researchers will present their success with a quality control program in their 3D lab.
November 8, 2009
Survey finds widespread acceptance of mammography CAD
By Erik L. Ridley
Friday, December 4 | 11:40 a.m.-11:50 a.m. | SST01-08 | Room E451AThe utilization of computer-aided detection (CAD) technology in mammography has grown rapidly since 2004, according to research from Thomas Jefferson University in Philadelphia.
November 8, 2009
Automatic segmentation tool adds value for head and neck tumors
By Erik L. Ridley
Friday, December 4 | 10:50 a.m.-11:00 a.m. | SST10-03 | Room S402ABA computer-aided segmentation method can accurately provide volume and Response Evaluation Criteria in Solid Tumors (RECIST) measurements for head and neck tumors, according to researchers from Goethe University Frankfurt in Germany.
November 8, 2009
Image quality affects CAD performance for acute PE
By Erik L. Ridley
Thursday, December 3 | 10:30 a.m.-10:40 a.m. | SSQ04-01 | Room S404CDA Dutch research team will report on its study in which three institutions performed comparably in using computer-aided detection (CAD) software for finding acute pulmonary embolism (PE) -- however, the group also noted that image quality affected false-positive results.
November 8, 2009
Automatic dual-energy CT bone-removal technique shows potential
By Erik L. Ridley
Thursday, December 3 | 10:30 a.m.-10:40 a.m. | SSQ18-01 | Room S404ABIn this Thursday scientific session presentation, researchers from Erasmus Medical Center in Rotterdam, Netherlands, will present data showing the benefits of a bone removal technique for dual-energy CT scans.
November 8, 2009
CAD fails to improve nodule detection on chest x-ray
By Erik L. Ridley
Wednesday, December 2 | 11:10 a.m.-11:20 a.m. | SSK06-05 | Room S504CDAlthough computer-aided detection (CAD) software can produce similar sensitivity compared to experienced radiologists in detecting suspicious lesions on chest radiographs, a Dutch research team has also found it may not yield a significant improvement in nodule detection.
November 8, 2009
3D reconstruction helps visualize important EVAR complications
By Erik L. Ridley
Wednesday, December 2 | 10:50 a.m.-11:00 a.m. | SSK23-03 | Room E353BThe use of maximum intensity projection and volume-rendering 3D reconstruction techniques with contrast-enhanced CT angiography images can detect stent fractures and suture breaks in endovascular abdominal aortic repair (EVAR) patients, according to research from Stanford University.
November 8, 2009
CAD can assist with lung lesions on chest x-ray, but more potential remains
By Erik L. Ridley
Tuesday, December 1 | 2:20 p.m.-2:30 p.m. | VC31-05 | Room S103CDComputer-aided detection (CAD) technology may help inexperienced radiologists find malignant lung lesions on chest radiographs, but it could add even more value if readers could better distinguish between true-positive and false-positive CAD marks.
November 8, 2009
Using CAD concurrently when reading lung CT studies offers time savings
By Erik L. Ridley
Tuesday, December 1 | 12:15 p.m.-1:15 p.m. | LL-CH4311-H01 | Lakeside Learning CenterCT lung computer-aided detection (CAD) applications can be used concurrently during primary image interpretation to save time without hurting observer performance, according to this scientific poster presentation showing on Tuesday afternoon.
November 8, 2009
Image analysis tool may boost management of renal tumors
By Erik L. Ridley
Tuesday, December 1 | 11:30 a.m.-11:40 a.m. | SSG17-07 | Room S403AIn this Tuesday morning session, a U.S. National Institutes of Health group will describe how computer-assisted image analysis may facilitate classification and guide clinical management of renal neoplasms.
November 8, 2009
VC CAD software improves reader sensitivity
By Erik L. Ridley
Monday, November 30 | 3:20 p.m.-3:30 p.m. | SSE08-03 | Room E353CA large multireader trial performed by University of Chicago researchers has found that applying computer-aided detection (CAD) technology to virtual colonoscopy can improve reader sensitivity while maintaining a high level of specificity.
November 8, 2009
VC CAD still boosts sensitivity in low-risk screening populations
By Erik L. Ridley
Monday, November 30 | 3:10 p.m.-3:20 p.m. | SSE08-02 | Room E353CEven in low-risk screening populations, computer-aided detection (CAD) technology continues to improve the sensitivity of radiologists reading virtual colonoscopy studies, according to this scientific paper from University College Hospital in London.
November 8, 2009
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