Cardiac Imaging
The cardiac imaging channel includes the modalities of computed tomography (CT), cardiac ultrasound (echocardiography), magnetic resonance imaging (MRI), nuclear imaging (PET and SPECT), and angiography.
News | Cardiac Imaging | April 25, 2019
April 25, 2019 – The thickness of the coronary artery wall as measured by magnetic resonance imaging (MRI) is an...
News | Cardiovascular Ultrasound | April 16, 2019
April 16, 2019 — DiA Imaging Analysis has partnered with the Italian healthcare IT company Ebit (Esaote Group), to...
Technology | Cardiovascular Ultrasound | April 09, 2019
April 9, 2019 — DiA Imaging Analysis announced the launch of LVivo SAX, a cardiac analysis tool that helps clinicians...
Videos | Radiology Business | March 26, 2019
William Pinsky, M.D., a pediatric cardiologist and CEO of the Educational Commission for Foreign Medical Graduates (...
Videos | Cardio-oncology | March 22, 2019
Magid Awadalla, MBBS, is an advanced cardiac imaging research fellow at Massachusetts General Hospital. He has been...
Videos | Nuclear Imaging | March 22, 2019
Raza Alvi, M.D., a research fellow in radiology at Massachusetts General Hospital, has been involved in a study of a...
At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve). Photo by Greg Freiherr
Feature | Cardiac Imaging | March 22, 2019 | By Greg Freiherr
Reflecting a trend toward the increased use of computed tomography (CT) in cardiology, Siemens Healthineers launched a...
News | CT Angiography (CTA) | March 19, 2019
March 19, 2019 — Late-breaking results confirm the HeartFlow FFRct (fractional flow reserve computed tomography)...
SyncVision iFR Co-registration from Philips Healthcare maps iFR pressure readings onto angiogram. Results from an international study presented at #ACC19 show that pressure readings in coronary arteries may identify locations of stenoses remaining after cardiac cath interventions.
Feature | Cardiac Imaging | March 18, 2019 | By Greg Freiherr
As many as one in four patients who undergo cath lab interventions can benefit from a technology that identifies the...
Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.
Feature | Cardiac Imaging | March 17, 2019 | By Greg Freiherr
Virtual reality (VR) and its less immersive kin, augmented reality (AR), are gaining traction in some medical...
WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography. Photo by Greg Freiherr
Feature | Cardiac Imaging | March 16, 2019 | By Greg Freiherr
Machine learning is already having an enormous impact on cardiology, automatically calculating measurements in...
News | Cardiovascular Ultrasound | March 15, 2019
March 15, 2019 — Artificial intelligence (AI) company Bay Labs announced the presentation of two studies assessing...
Podcast | Cardiac Imaging | March 15, 2019
As a noninvasive technology, computed tomography (CT) is brimming with possibilities, particularly as an angiographic...
News | Computed Tomography (CT) | March 14, 2019
March 14, 2019 — Siemens Healthineers will introduce the Somatom go.Top Cardiovascular Edition, a new version of its...
News | Cardio-oncology | March 13, 2019
March 13, 2019 — An imaging procedure commonly performed before starting cancer treatment can provide valuable clues...
Podcast | Cardiac Imaging | March 12, 2019
Smart algorithms could make cardiology “more fun and less burdensome,” said Anthony Chang, M.D., a pediatric...
Collage depicts broad applications in machine learning or deep learning (DL) that can be applied to advanced medical imaging technologies. Size of the liver and its fat fraction — 22 percent — (top middle in collage) can be quantified automatically using an algorithm developed by Dr. Albert Hsiao and his team at the University of California San Diego. This and other information that might be mined by DL algorithms from CT and MR images could help personalize patients’ treatment. Collage provided by Albert Hsiao
Feature | Cardiac Imaging | March 11, 2019 | By Greg Freiherr
Computed tomography (CT) and magnetic resonance imaging (MRI) scans are chock full of information that might be used to...
Podcast | Cardiac Imaging | March 08, 2019
Can computed tomography (CT) angiography accurately measure fractional flow reserve (FFR)? Even if it can, is CT-...
Podcast | Cardiac Imaging | March 04, 2019
Technology is reshaping not only our understanding of cardiac disease but what motivates patients to visit doctors....
Presenter delivers pitch at last year’s ACC Future Hub. This year during ACC.19, entrepreneurs will pitch software and hardware specific to cardiology in two categories– artificial intelligence and digitally enabled medical devices. (Image courtesy of ACC)
Feature | Artificial Intelligence | March 01, 2019 | By Greg Freiherr
Immersed in a Shark Tank-like atmosphere, entrepreneurs will pitch ideas for new technologies and services at ACC.19,...
