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.
Videos | Cardio-oncology | March 22, 2019
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 ...
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The IntelliSpace Cardiovascular CVIS from Philips Healthcare, being used in the cath lab.
Blog | Cardiac PACS | March 29, 2018
Cardiologists need information from multiple sources to make accurate diagnoses and plan interventional therapies....
The opening late-breaking trial at ACC 2019 is the Apple Heart Study, a large-scale, app-based study to identify atrial fibrillation using a smartwatch. Earlier, smaller trials showed this approach might be used in a population health application to proactively identify AFib patients earlier.
Feature | ACC | March 19, 2019
The American College of Cardiology (ACC) released a list of the...
News | FFR Technologies | March 19, 2019
March 19, 2019 — Late-breaking results confirm the HeartFlow FFRct (...
News | Advanced Visualization | March 18, 2019
March 18, 2019 – DrChrono Inc. and 3D4Medical have teamed up so practices across the United States can access...
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 | Computed Tomography (CT) | March 14, 2019
March 14, 2019 — Siemens Healthineers will introduce the Somatom go.Top Cardiovascular Edition, a new version of its...
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 12, 2019 | By Greg Freiherr
Computed tomography (CT) and magnetic resonance imaging (MRI) scans are chock full of information that might be used...
