Siemens Healthcare introduces version VA30 of its routine 3D and advanced reading software syngo.via, featuring new applications and functionalities that further streamline and accelerate the syngo.via experience.
syngo.via General Engine is a new package of highly automated and standardized applications. As depicted here, the feature "Anatomical Range Presets" displays a quick, precise, optimal view of selected anatomical regions. The syngo.via Advanced Reporting tool, part of the syngo.via General Engine, helps radiologists create clear, well-structured reports for the referring or follow-up physicians.
The latest innovation is the syngo.via General Engine, a new package of highly automated and standardized applications. "Anatomical Range Presets," for example, identifies individual regions of the body on images captured using computed tomography (CT) and magnetic resonance imaging (MRI), aligns the image projections accordingly, then selects detailed views to facilitate case preparation. For customers, this means greater efficiency and enables higher diagnostic confidence.
Siemens is making syngo.via more anatomically intelligent to support radiologists and medical technology personnel in their routine workflows. The software "understands" human anatomy and prepares the images for diagnostic reading. Syngo.via VA30 features "Automatic Rib Labeling," for example, which automatically identifies and labels the ribs in CT scans. Until now, radiologists had to identify the ribs manually. Given the unique shape of the ribs, this can be time-consuming and lead to errors, especially in complex diagnostic environments such as oncology.
Anatomical intelligence is also a hallmark of the new syngo.via General Engine software package with which customers can upgrade their software. The package includes the "Anatomical Range Presets" feature, which displays a quick, precise, optimal view of selected anatomical regions. To facilitate diagnoses, users often create such views manually, performing the multi-step process of selecting the relevant area, aligning the image projections accordingly, and editing the detailed view. This takes time, requires anatomical expertise, and is error-prone. The new application from Siemens largely automates these steps. This delivers a consistent quality of the resulting anatomical views and snapshots that does not depend on the skill of the specific user. Using a technology akin to facial recognition in digital photography, syngo.via is able to recognize shoulders, spines, hips, etc. in clinical images and optimize how they are displayed in their anatomical environment. The presets are initially available for specific anatomical regions in CT and MRI images.
Following an examination, the radiological diagnostic report plays a key role in the treatment of the patient. The syngo.via Advanced Reporting tool, part of the syngo.via General Engine, helps radiologists create clear, well-structured reports for the referring or follow-up physicians. Standardized templates make it easier to create reports but can still be customized to individual needs, and findings from multiple examinations can be consolidated into a single report. In the past, multiple diagnoses meant having different documents pertaining to a single case. Now, the diagnostic report reflects the patient's entire disease profile. This makes it much easier for doctors to form a comprehensive assessment of the patient's condition, which helps to improve the quality of treatment.
The Siemens Healthcare Sector is one of the world's largest suppliers to the healthcare industry and a trendsetter in medical imaging, laboratory diagnostics, medical information technology and hearing aids. Siemens offers its customers products and solutions for the entire range of patient care from a single source – from prevention and early detection to diagnosis, and on to treatment and aftercare. By optimizing clinical workflows for the most common diseases, Siemens also makes healthcare faster, better and more cost-effective. Siemens Healthcare employs some 52,000 employees worldwide and operates around the world. In fiscal year 2013 (to September 30), the Sector posted revenue of 13.6 billion euros and profit of 2.0 billion euros. For further information please visit: http://www.siemens.com/healthcare
Novel PET tracer identifies most bacterial infections
06.10.2017 | Society of Nuclear Medicine and Molecular Imaging
Teleoperating robots with virtual reality
05.10.2017 | Massachusetts Institute of Technology, CSAIL
University of Maryland researchers contribute to historic detection of gravitational waves and light created by event
On August 17, 2017, at 12:41:04 UTC, scientists made the first direct observation of a merger between two neutron stars--the dense, collapsed cores that remain...
Seven new papers describe the first-ever detection of light from a gravitational wave source. The event, caused by two neutron stars colliding and merging together, was dubbed GW170817 because it sent ripples through space-time that reached Earth on 2017 August 17. Around the world, hundreds of excited astronomers mobilized quickly and were able to observe the event using numerous telescopes, providing a wealth of new data.
Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
When quality testing uses time-consuming destructive test methods, it can result in enormous costs due to damaging or destroying the products. And given that...
Using a new cooling technique MPQ scientists succeed at observing collisions in a dense beam of cold and slow dipolar molecules.
How do chemical reactions proceed at extremely low temperatures? The answer requires the investigation of molecular samples that are cold, dense, and slow at...
Scientists from the Max Planck Institute of Quantum Optics, using high precision laser spectroscopy of atomic hydrogen, confirm the surprisingly small value of the proton radius determined from muonic hydrogen.
It was one of the breakthroughs of the year 2010: Laser spectroscopy of muonic hydrogen resulted in a value for the proton charge radius that was significantly...
17.10.2017 | Event News
10.10.2017 | Event News
10.10.2017 | Event News
20.10.2017 | Information Technology
20.10.2017 | Materials Sciences
20.10.2017 | Interdisciplinary Research