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Automatic CT Liver segmentation based on deep learning

 

Fast and reproducible method for segmenting the liver

 

Hepatic VCAR provides automated segmentation and assessment of liver, liver lesions, and vasculature which helps enable an efficient and consistent workflow.

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Featured Video
Hepatic VCAR*

Automatic CT Liver segmentation based on deep learning

Fast and reproducible method for segmenting the liver.
Guided workflow for assessing the complete liver anatomy to assist in surgical planning and lesion evaluation.

 

Automatic CT Liver segmentation based on deep learning

Hepatic vcar*

 

Overall success rate for automatic liver segmentation on the testing set

 

AVERAGE TIME to achieve liver  segmentation

 

Inter reader variability on the liver volume  measurement when edits were needed

Complete reading workflow solution featuring:

  • Intelligent liver lesion segmentation using auto contour tool.
  • Deep learning algorithm for liver segmentation at different phases and hepatic artery segmentation
  • Intuitive tools to segment the liver into its segments or lobes
  • Tumor burden calculation
  • Efficient & consistent reporting tools to facilitate communication
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FOOTNOTES

* Not available for sales in all regions.

  1. Byass, P. The global burden of liver disease: a challenge for methods and for public health. BMC Med. 2014; 12: 159.
  2. Golse, N. Should We Have Blind Faith in Liver Volumetry? SurgicalCase Reports doi: 10.31487/j.SCR.2019.01.003.
  3. Gotra, A. Liver segmentation: indications, techniques and future directions. Insights Imaging (2017) 8:377–392.
  4. Favelier, S. Anatomy of liver arteries for interventional radiology. Diagnostic and Interventional Imaging (2015) 96, 537—546.
  5. Suzuki, K. Quantitative Radiology: Automated CT Liver Volumetry Compared With Interactive Volumetry and Manual Volumetry. AJR:197, October 2011.
  6. Lodewick, TM. Fast and accurate liver volumetry prior to hepatectomy. International Hepato-Pancreato-Biliary Association, HPB 2016, 18, 764–772.
  7. Golse. N. Should We Have Blind Faith in Liver Volumetry? SURGICAL CASE REPORTS | ISSN 2613-5965.
  8. Data on file (GE internal document).
  9. Timing performance based on Z440 hardware.
  10. Clinical evaluation of Hepatic VCAR, GE internal document.
  11. IARC database of 2018.
  12. JAMA Oncol. 2017;3(12):1683-1691. doi:10.1001/jamaoncol.2017.3055Published online October 5, 2017. Corrected on December 14, 2017.
JB00863AFG May 2023