Advanced Visualization: Page 247

Mammo CAD can contribute in detecting invasive lobular carcinoma
By Erik L. Ridley
Friday, December 4 | 11:00 a.m.-11:10 a.m. | SST01-04 | Room E451AInvasive lobular carcinoma is a challenging diagnosis for radiologists, but computer-aided detection (CAD) can offer some assistance, according to this scientific paper from researchers at Elizabeth Wende Breast Care.
November 8, 2009
DMIST data show equivalence between CAD applications
By Erik L. Ridley
Friday, December 4 | 10:50 a.m.-11:00 a.m. | SST01-03 | Room E451AResults from the use of computer-aided detection (CAD) software on cancer cases in the Digital Mammographic Imaging Screening Trial (DMIST) suggest that two of the most commonly used commercial mammography CAD applications work about equally well.
November 8, 2009
Automated segmentation method adds value to MRI myocardial assessment
By Erik L. Ridley
Thursday, December 3 | 11:50 a.m.-12:00 p.m. | SSQ10-09 | Room S402ABA new automatic segmentation method can outperform traditional segmentation methods used in delayed gadolinium-enhanced MRI for assessing myocardial viability.
November 8, 2009
New 4D flow MRI approach may overcome clinical barriers
By Erik L. Ridley
Thursday, December 3 | 11:30 a.m.-11:40 a.m. | SSQ10-07 | Room S402ABA team from Stanford University will share a new method for processing and interpreting 4D flow MRI studies in this Thursday morning scientific session.
November 8, 2009
CT registration method speeds visualization of lung motion
By Erik L. Ridley
Thursday, December 3 | 11:10 a.m.-11:20 a.m. | SSQ10-05 | Room S402ABIn this presentation, researchers from Seoul Women's University in Korea will share details on a new deformable registration method for visualizing lung motion in end-exhale and end-inhale CT scans.
November 8, 2009
Microsoft algorithm recognizes anatomical patterns
By Erik L. Ridley
Thursday, December 3 | 10:30 a.m.-10:40 a.m. | SSQ10-01 | Room S402ABA team of Microsoft researchers will present a software algorithm that can automatically detect and localize anatomical structures in 3D CT images.
November 8, 2009
VC CAD users may be more likely to incorrectly dismiss large, irregular lesions
By Erik L. Ridley
Monday, November 30 | 3:40 p.m.-3:50 p.m. | SSE08-05 | Room E353CThis scientific session presentation will share further details on why some radiologists incorrectly dismiss lesions correctly marked by computer-aided detection (CAD) software on virtual colonoscopy studies.
November 8, 2009
Software application analyzes contrast ultrasound liver images
By Brian Casey
Tuesday, December 1 | 10:40 a.m.-10:50 a.m. | SSG06-02 | Room E353CAs ultrasound contrast becomes more widely used (at least outside the U.S.), software is becoming available to analyze contrast-enhanced ultrasound (CEUS) images. In this Tuesday morning presentation, Swiss researchers will discuss their use of a commercially available software application for analyzing CEUS images of focal liver lesions.
November 8, 2009
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
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