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Advanced Visualization: Page 127
How to build a collaborative 3D printing lab
By
Eric Barnes
Monday, November 28 | Approximately 1:30 p.m.-2:00 p.m. | RCC23D | Room S501ABCThis course, the last in Monday's 3D Printing: Clinical Applications I session that runs from 12:30 p.m. to 2:00 p.m., is a how-to for creating a collaborative 3D printing lab in today's environment of rapidly accelerating technology development.
November 7, 2016
Deep learning shows promise for reading chest x-rays
By
Erik L. Ridley
Monday, November 28 | 12:15 p.m.-12:45 p.m. | IN211-SD-MOA2 | Lakeside, IN Community, Station 2A deep-learning method could be used to provide a more "human-like" diagnosis on chest x-rays, according to a group from the U.S. National Institutes of Health Clinical Center.
November 7, 2016
CAD boosts MRI proficiency for prostate cancer
By
Wayne Forrest
Monday, November 28 | 11:50 a.m.-12:00 p.m. | SSC08-09 | Room S402ABAdding computer-aided detection (CAD) results in greater sensitivity and interreader agreement for radiologists interpreting multiparametric MRI scans for prostate cancer, as well as reduced reading times, according to researchers from Italy.
November 7, 2016
Deep learning + CADx combo performs best in breast tumors
By
Erik L. Ridley
Monday, November 28 | 11:30 a.m.-11:40 a.m. | SSC08-07 | Room S402ABIn this talk, researchers will describe how the combination of deep convolutional neural networks and computer-assisted diagnosis (CADx) software yields improved diagnostic performance in differentiating breast tumors on full-field digital mammography and ultrasound.
November 7, 2016
Radiogenomics mapping joins lung nodule features with genes
By
Eric Barnes
Monday, November 28 | 11:20 a.m.-11:30 a.m. | SSC08-06 | Room S402ABResearchers from Stanford University built a radiogenomics map that linked high-level metagenes detailing lung cancer pathways with CT images, opening a window on predicting survival.
November 7, 2016
IR boosts lung CAD detection at all dose levels
By
Eric Barnes
Monday, November 28, 2016 | 10:50 a.m.-11:00 a.m. | SSC03-03 | Room S404CDJapanese researchers found huge dose reductions combined with high nodule detection sensitivity when they used advanced iterative reconstruction (IR) with their newly developed computer-aided detection (CAD) scheme for lung nodules.
November 7, 2016
Deep learning can find, label images in PACS
By
Erik L. Ridley
Sunday, November 27 | 12:30 p.m.-1:00 p.m. | IN200-SD-SUA1 | Lakeside, IN Community, Station 1In this poster presentation, researchers will highlight the potential of deep-learning techniques for categorizing and labeling images stored on PACS archives.
November 7, 2016
4D CT kinematic assessment boosts radioulnar joint view
By
Eric Barnes
Sunday, November 27 | 12:05 p.m.-12:15 p.m. | SSA15-09 | Room S406B4D CT with a multiplanar reformatted technique is useful for evaluating motion of the distal radioulnar joint, according to this study being presented on Sunday afternoon.
November 7, 2016
Should 4D flow replace standard MRI for LV function assessment?
By
Eric Barnes
Sunday, November 27 | 12:05 p.m.-12:15 p.m. | SSA03-09 | Room S502AB4D flow is a volumetric cardiac MR technique that in 10 short minutes provides both anatomic and flow information over the cardiac cycle in a nonbreath-hold acquisition. Is it ready to replace standard MRI for left ventricular (LV) assessment?
November 7, 2016
CT software noninvasively stages liver fibrosis
By
Eric Barnes
Sunday, November 27 | 11:05 a.m.-11:15 a.m. | SSA09-03 | Room E450BResearchers from the University of Wisconsin-Madison have developed a semiautomated tool to assess for liver surface nodularity corresponding with liver fibrosis. The tool can predict both the presence of liver fibrosis and the disease stage.
November 7, 2016
Road to RSNA 2016: Advanced Visualization Preview
By
Eric Barnes
The brave new world of advanced visualization, 3D and 4D, and computer-aided detection (CAD) will be on display at RSNA 2016. This year's sessions and courses will cover the evolution of digital visualization and detection tools and the rise of artificial intelligence. Hot topics include 4D flow and imaging, radiogenomics mapping, and 3D printing.
November 7, 2016
MGH picks teleradiology firm for 3D postprocessing
By
AuntMinnie.com staff writers
Teleradiology Solutions was selected by Massachusetts General Hospital (MGH) in Boston to perform remote 3D postprocessing services.
November 6, 2016
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