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Eric Barnes

[email protected]
Advanced Visualization
AuntMinnie.com Advanced Visualization Insider
April 4, 2016
Advanced Visualization
The power and promise of 3D printing: Part 1
In the first part of a two-part series, we examine the power and promise of 3D printing for medical applications. 3D printing has the potential to unlock medical image data, creating functioning blood vessels and someday even organs. But radiologists should do their homework before plunging into this exciting area.
April 4, 2016
2016 04 04 16 40 21 65 Quigley Cervical Vertebrae 200
Ultrasound
Quantitative ultrasound CAD analyzes multiple conditions
Researchers have created an algorithm for computer-aided detection (CAD) of ultrasound scans that can diagnose several diseases at once using quantitative texture analysis, according to an article in the Journal of Medical Imaging.
March 28, 2016
2016 03 28 15 14 02 891 2016 03 29 Us Cad Wu 20160328221536
CT
Study: High-risk smokers can skip second CT screen
Most patients at high risk for lung cancer don't need to be screened with CT annually if their initial scan is negative, according to a March 18 study in Lancet Oncology. A lot of money could be saved at little cost to patient health if heavy smokers skip a year of screening, researchers concluded.
March 21, 2016
2014 12 09 17 15 27 672 Cigarette Smoking 200
CT
CAD helps medical personnel triage CT lung cancer scans
Researchers from Canada trained nonradiology personnel to use computer-aided detection (CAD) software to analyze CT lung screening scans and triage the ones that should be passed on to radiologists for review, according to a study published on Wednesday in the Journal of Thoracic Oncology.
March 16, 2016
2016 02 03 17 57 02 444 Lung 200
CT
Dose monitoring software cuts dose notifications by half
VIENNA - Dose awareness among radiology staff is key to maintaining optimal dose levels, concluded several presenters of dose monitoring studies at ECR 2016. Among them, a Swiss group found that running dose monitoring software in real-time and requiring technologists to report the results slashed the number of dose notifications due to technologist error.
March 5, 2016
2016 03 02 10 37 58 952 Ecr 2016 Bug 200
Image Processing
Algorithm quantifies airway disease at CT
VIENNA - A fully automated algorithm to evaluate airway disease produced good to excellent results from MDCT images, according to research from Germany presented this week at ECR 2016.
March 5, 2016
2016 03 05 16 26 33 946 2016 03 Weinheimer Final Segmentation 200
CT
Sleep duration not associated with heart disease
VIENNA - Getting enough sleep may have profound effects on health, but sleep duration has no effect on the development of coronary artery disease, researchers reported on Friday at ECR 2016.
March 4, 2016
2016 03 02 10 37 58 952 Ecr 2016 Bug 200
MRI
Study: Let patients choose breath-hold technique for MRI
VIENNA - Patients gain important benefits when they are allowed to initiate their own breath-holds for MRI exams, and the exam quality doesn't suffer, according to research presented on Saturday at ECR 2016.
March 4, 2016
2016 03 02 10 37 58 952 Ecr 2016 Bug 200
Image Processing
Automated coronary plaque analysis predicts future events
VIENNA - Automated plaque analysis in coronary CT angiography can predict which patients with known ST-segment elevation myocardial infarction may go on to have a heart attack in the future, concluded a Wednesday presentation at ECR 2016.
March 2, 2016
2016 03 02 16 50 34 916 2016 03 02 Mangold Plaque 400 20160302235056
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3D MRI technique helps plan treatment for pediatric heart conditions
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
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