June 4, 2019 — SpellBound, an Ann Arbor startup specializing in...
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.
Photo courtesy of Philips Healthcare
Feature | Radiology Business | May 31, 2019 | By Arjen Radder
Change is a consistent theme in our world today, no matter where you look. In healthcare, change — while slower than...
News | Magnetic Resonance Imaging (MRI) | May 23, 2019
May 23, 2019 — Clinical metal artifact reduction sequence (MARS)...
Henry Ford Hospital's ViewRay MRIdian linear accelerator system allows real-time MRI-guided radiotherapy. Shown is the support staff for this system. In the center of the photo is Benjamin Movsas, M.D., chair of radiation oncology at Henry Ford Cancer Institute. Second from the right is Carri Glide-Hurst, Ph.D., director of translational research, radiation oncology.
Feature | Henry Ford Hospital | May 21, 2019 | Dave Fornell, Editor
Henry Ford Hospital thought leaders regularly speak at the radiation oncology and radiology conferences about new...
Videos | Radiation Therapy | May 21, 2019
This is a walk through of the ViewRay MRIdian MRI-guided radiotherapy system installed 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 1.5T...
News | Magnetic Resonance Imaging (MRI) | May 13, 2019
May 13, 2019 — Imricor announced the signing of a commercial agreement with the Haga Hospital in The Hague,...
Vibhor Krishna, M.D., (right) fits David Shorr with a helmet-like device used in a new clinical trial for Alzheimer’s disease at The Ohio State University Wexner Medical Center. The device uses MRI-guided imaging to deliver focused ultrasound to specific areas of the brain to open the blood-brain barrier. Image courtesy of Ohio State University Wexner Medical Center.
News | Focused Ultrasound Therapy | May 09, 2019
May 9, 2019 — A new clinical trial at The Ohio State University Wexner Medical Center and two other sites is testing...
News | Cardiovascular Ultrasound | April 30, 2019
April 30, 2019 — A new document compiled by four...
News | Cardiac Imaging | April 25, 2019
April 25, 2019 – The thickness of the coronary artery wall as measured by...
News | Oncology Information Management Systems (OIMS) | April 25, 2019
April 25, 2019 – Philips announced IntelliSpace Radiation Oncology, an intelligent...
News | Radiology Business | April 24, 2019
April 24, 2019 — Imaging Technology News (ITN) was recently named the 2019 Jesse H. Neal Award winner in the Best...
News | Artificial Intelligence | April 18, 2019
April 18, 2019 — University of California Los Angeles (UCLA) researchers have developed a new...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.
Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient....
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displayed on...
