December 3, 2020 — GE Healthcare is introducing a new version of its robotic driven angiography system for image...
This channel contains news about the Radiological Society of North America (RSNA), including coverage of its annual meeting and society news. RSNA is a leading resource for the radiology and all its subspecialties. This includes the areas of cardiac imaging, angiography, interventional radiology, computed tomography (CT), magnetic resonance imaging (MRI), nuclear imaging, ultrasound, PACS and advanced visualization. DAIC concentrates on coverage of RSNA on aspects specific to cardiovascular medicine and interventional radiology. For radiology coverage of RSNA, visit our sister publication Imaging Technology News (ITN) and its RSNA channel.
An example of a body composition analysis of an abdominal CT slice with the subcutaneous fat in green, skeletal muscle red and visceral fat in yellow. This was automatically identified and analyzed via a deep learning algorithm to assess the risk for heart attack and stroke in more than 12,000 patients.
Medical imaging artificial intelligence (AI) vendor Avicenna.AI today announced its FDA-cleared CINA Head triage AI solution will be offered by cloud-based imaging platform Arterys. Supporting the treatment of stroke and neurovascular emergencies, CINA Head detects intracranial hemorrhages (ICHs) and large vessel occlusions (LVOs) from CT-scan imaging.
The Mindways Solid phantom with volume of interest in the quality assurance phantom (red circles, left side). A participant's noncontrast-enhanced axial CT (right side) with volume of interest (yellow circles) in the trabecular bone compartment of three vertebrae for bone mineral density measurements. Image courtesy of Radiological Society of North America
An example of Philips’ TrueVue technology, which offers photo-realistic rendering and the ability to change the location of the lighting source on 3-D ultrasound images. In this example of two Amplazer transcatheter septal occluder devices in the heart, the operator demonstrating the product was able to push the lighting source behind the devices into the other chamber of the heart. This illuminated a hole that was still present that the occluders did not seal. Photo by Dave Fornell
GE Healthcare partnered with the AI developer Dia to provide an artificial intelligence algorithm to auto contour and calculate cardiac ejection fraction (EF). The app is now available on the GE Vscan pocket, point-of-care ultrasound (POCUS) system, as seen here displayed at RSNA 2019. Watch a VIDEO demo from RSNA.