Overview

Liver disease is a major cause of morbidity and mortality globally. Liver cancer is currently the 3rd most common primary cancer, as well as a common site for metastatic disease. Detection and treatment monitoring of Liver lesions requires measurement and change monitoring tools. In addition, planning for surgical resection requires determination of the volume of liver, liver lobe or a liver segment. 

Hepatic VCAR gives you a complete reading workflow solution for detecting liver lesions with flexibility and exceptional performance.  Experience up to 30x enhanced productivity in liver segmentation*. 

Highlights

  • Automatic detection of portal venous phase

  • Automatic liver segmentation in less than a minute with 100% repeatability

  • Intelligent user guided segmentation algorithms to size liver lesions

  • Integration with Spectral CT

  • Load multi-phase data over multi-time points with lesion comparison functionality


*Internal GE Comparison study of manual segmentation compared to automatic results with Hepatic VCAR conducted by three CT Technologists. Actual results may vary.

Features

  • Load portal venous and arterial datasets for simultaneous review

  • Built in lesion overlap detection and avoidance

  • Tumor burden calculations linked to segment, lobe or whole liver

  • Portal vein segmentation which can be color coded and assigned to liver segments

  • Load multi-phase data across multiple time points for lesion management

  • Customizable, interactive reporting capability


System Requirements

  • AW Volume Share 7 or later

  • AW Server 3.1 or later

  • Color Monitors 

  • Single or Dual Display Monitors for AW Server in Landscape and Portrait orientations


Intended Use

Hepatic VCAR is a CT image analysis software package that allows the analysis and visualization of Liver CT data derived from DICOM 3.0 compliant CT scans.  Hepatic VCAR is designed for the purpose of assessing liver morphology, including liver lesions - provided the lesion has different CT appearance from surrounding liver tissue - and its change over time. This is done through automated tools for liver, liver lobe, liver segments and liver lesion segmentation and measurement.  It is intended for use by clinicians to process, review, archive, print and distribute liver CT studies. 

This software will assist the user by providing initial 3D segmentation, vessel analysis, visualization, and quantitative analysis of liver anatomy.  The user has the ability to adjust the contour and confirm the final segmentation.

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