Dedicated software for 2D or 3D breast ultrasound review
Siemens Healthineers Haberleri | 26-07-2012
syngo.Ultrasound Breast Analysis is a dedicated software application that is used on an offline computer to review 3D volume data as well as 2D images and clips from the ACUSON S2000 Automated Breast Volume Scanner (ABVS). The software provides a patient-centered workflow with the Siemens-proprietary syngo look and feel and the ability to import DICOM data for review, manipulation, editing, annotation, and archiving.
How the software works
syngo.Ultrasound Breast Analysis software offers image analysis and reporting with comprehensive tools that help improve and accelerate diagnoses, including a magnifier, interactive zoom, free rotation, and automatic scrolling. Positional reference markers and a combined breast pictogram provide clinicians with precise lesion information, including location from the nipple, depth, and distance from the skin. The software produces streamlined reports that support the ACR BI-RADS® US1 (Breast Imaging-Reporting and Data System in Ultrasound) Lexicon Classification Form. This standardized reporting makes it easier to communicate with referring physicians. In addition, the system provides a diagnostic standard that allows images to be compared with prior findings.
Wide variety of hardware
The software can be installed on a wide variety of hardware, such as a personal computer, a local PACS, or vendor-neutral archives and is available through multiple licensing structures, including fixed and floating licenses. The ACUSON S2000 ABVS may help to detect and differentiate potential pathologies by acquiring automated full-field volumes of the breast in under ten minutes.
Comprehensive review tools to analyze the data and images
Can be installed on virtually any computer or workstation eliminating the need for additional workstations in the reading room
Customized licensing structures allow many users to access the application from multiple locations
Streamlined reports that support the ACR BI-RADS1 US Lexicon Classification Form
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