This is a dedicated cardiac Siemens 1.5T MRI system installed at the Baylor Scott White Heart Hospital in Dallas.
Magnetic Resonance Imaging (MRI)
MRI creates images from the resonance created in hydrogen atoms when they are polerized and an electromegntic pulse is used to knock them off axis. This section includes MR analysis software, MRI scanners, gadolinium contrast agents, and related magnetic resonance accessories.
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Miami Cardiac & Vascular Institute announced the implementation of Philips’ Ingenia Ambition X 1.5T MR, the world’s first magnetic resonance imaging (MRI) system to enable helium-free...
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A new document compiled by four cardiac imaging professional societies provides a resource to guide clinicians in best practices for assessing valvular regurgitation following catheter-based...
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Magid Awadalla, MBBS, is an advanced cardiac imaging research fellow at...
360 Photos | Magnetic Resonance Imaging (MRI) | May 17, 2019
This is a dedicated cardiac Siemens 1.5T MRI system installed at the Baylor Scott White Heart Hospital in Dallas....
News | Magnetic Resonance Imaging (MRI) | May 17, 2019
May 17, 2019 ― Miami Cardiac & Vascular Institute announced the implementation of Philips’ Ingenia Ambition X 1....
News | Ablation Systems | May 13, 2019
May 13, 2019 — Imricor announced the signing of a commercial agreement with the Haga Hospital in The Hague,...
News | Cardiovascular Ultrasound | April 30, 2019
April 30, 2019 — A new document compiled by four...
News | Womens Cardiovascular Health | April 25, 2019
April 25, 2019 – The thickness of the coronary artery wall as measured by...
News | Cardiac Resynchronization Therapy Devices (CRT) | April 18, 2019
April 18, 2019 – Biotronik announced the European market release of what it calls the world’s smallest...
Videos | Cardio-oncology | March 22, 2019
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...
News | Magnetic Resonance Imaging (MRI) | February 14, 2019
February 14, 2019 – Circle Cardiovascular Imaging and Galgo Medical recently announced an agreement for distribution...
Technology | Magnetic Resonance Imaging (MRI) | January 30, 2019
January 30, 2019 — The U.S. Food and Drug Administration (FDA) has cleared the Magnetom Lumina 3 Tesla (3T)...
Artificial intelligence in medical imaging was the major buzz at RSNA 2018. The expo floor had a dedicated area just to highlight artificial intelligence software for medical imaging. More than 150 vendors on the expo floor were showing software using some level of AI or deep learning.
Feature | Artificial Intelligence | January 17, 2019 | Dave Fornell, Editor
Artificial intelligence (AI) was by far the hottest trend discussed in sessions and across the expo floor at the...
News | Womens Cardiovascular Health | November 29, 2018
November 29, 2018 — Obstructive sleep apnea (OSA) and snoring may lead to earlier impairment of cardiac function in...
News | Enterprise Imaging | November 28, 2018
November 28, 2018 — Vital, a Canon Group company, will highlight the latest additions to its...
News | Computer-Aided Detection Software | November 26, 2018
November 26, 2018 — Medical imaging software company Arterys will demonstrate its wide-ranging suite of ...
