Quick and Detailed Review of 3D and 2D Breast Ultrasound Images

Siemens HealthcareSiemens Healthcare introduces syngo Ultrasound Breast Analysis, a software application for offline review of images, volumes and clips produced with the Acuson S2000 Automated Breast Volume Scanner (ABVS) and the Acuson S2000 ultrasound system. The software offers comprehensive image processing and reporting tools designed to improve breast ultrasound quality and workflow. It can be installed on existing computers in medical practices or hospitals, allowing physicians to analyze and process 2D and 3D ultrasound images inside or outside the reading room. The syngo Ultrasound Breast Analysis software contributes to increasing Siemens' innovative power - a key component of the Healthcare Sector's Agenda 2013 two-year global initiative.

The syngo Ultrasound Breast Analysis software is optimized for breast ultrasound workflow, making 2D review and 3D data analysis easy and comfortable. It offers image analysis and reporting with comprehensive tools for data review in one place and produces streamlined reports that support the American College of Radiology (ACR) BI-RADS® US Lexicon Classification Form - offering standardized reporting to allow faster, easier communication with referring physicians. Users can import DICOM data for review, editing as well as annotating and archiving of patient reports. In addition, the software provides standardized results that permit physicians to compare images with future or past findings.

The software application can be installed on a wide variety of hardware, including a laptop or desktop system, a department's local picture archiving and communication system (PACS), and/or vendor-neutral archives. It eliminates the need for additional computer hardware in the reading room, facilitating a tidy, organized work environment. The ability to use the software independent of the reading room gives users more variability regarding when and where to review examination results, helping to address today's requirements of increased work flexibility.

Acuson S2000 Automated Breast Volume Scanner (ABVS)
The Acuson S2000 ABVS ultrasound scanner helps identify potential pathologies by acquiring automated full-field volumes of the breast, reducing exam times from 30 minutes to 15 minutes. It utilizes a high-frequency 14 MHz automated transducer that automatically sweeps over the breast, producing a 15 cm x 17 cm field of view (FOV) volume. In addition to streamlining workflow, this FOV reduces operator variability, leading to improvements in image quality and consistency. The multi-purpose ultrasound system is an ideal adjunct to mammography for women with different needs, from asymptomatic women to women with known dense breast tissue and/or a history of breast disease.

Launched in November 2011 by the Siemens Healthcare Sector, "Agenda 2013" is a two-year global initiative to further strengthen the Healthcare Sector's innovative power and competitiveness. Specific measures will be implemented in four fields of action: Innovation, Competitiveness, Regional Footprint, and People Development.

Related news articles:

About Siemens Healthcare
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 51,000 employees worldwide and operates around the world. In fiscal year 2012 (to September 30), the Sector posted revenue of 13.6 billion euros and profit of 1.8 billion euros.

Most Popular Now

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...

AI-Based Chatbot Created for Bioimage An…

Scientists from Universidad Carlos III de Madrid (UC3M), together with a research team from Ericsson and the KTH Royal Institute of Technology in Sweden, have developed an artificial intelligence-based software...

Analyzing Multiple Mammograms Improves B…

A new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing mammograms that significantly improves the accuracy of predicting the risk of breast...

Emotional Cognition Analysis Enables Nea…

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain...