Liver Function Test

Image Analysing in Hepatology

An image analysis system provides diagnostic decision support for physicians' evaluation of hepatic lesions using MRI, computer tomography (CT) or ultrasound (US) images. This can be carried out on the liver in vivo or on a tissue sample of a liver biopsy.

Combining image analysis algorithms and visualization tools, image analysing provides three dimensional patient liver image data. It further gives segmentation and measurement tools for the visualization and analysis of liver lesions, hepatic vascular structures, as well as liver lobes. 3D-liver imaging could help in hepatectomy, liver segmentation, couinaud, liver surgery and liver volumetry. This volumetric analysis provides physicians with a visualization aid and offers quantification tools to support their clinical decision making and patient care management.ABSATZ-ENDE]

3D Liver Surgery Simulation

If image analyzing is used in liver surgery planning, the software dedicated to liver surgery planning is mostly for CT or MRI scans. Living donor transplant could benefit of the exact liver surgery planning with a 3D-system.

Image analyzing in liver pathologies

Image analysis systems have transformed the way liver pathologies are handled today. To isolate entire hepatic vascular systems, including healthy parenchyma, lesions, portal and hepatic veins takes seconds with modern 3D-radiology software.Volumes of each structure can be measured and displayed in tree dimensional images. The pathologist can freely define a cutting surface. The exact volume of the resected liver can be defined.

So clinical decision-making for liver surgery planning or interventional radiology operations, to assess the results of a portal embolization or to prepare a living donor transplant is improved.

Hepatic vessel segmentation for 3D planning of liver surgery

New studies let hope that an algorithm for automatic extraction of the hepatic vessel tree from contrast-enhanced computed tomographic volume images is possible. The sensitivity in vessel delineation has improved with new algorithms.

Optical Analysis of the Liver (in Vivo)

Optical digital analysis of multiphase Multi-Detector CT images of the liver is effective in determining the stage and distribution of liver fibrosis in chronic hepatitis C, especially in patients with homogeneous fibrosis distribution.

In Vitro Image Analysing of Liver Tissue

An automated quantification system (AQS) provides quantitative assessment of liver in liver biopsies based on a classification into six classes depending on its severity and progression.

Another approach is an automatic tissue characterization system, based on color image segmentation to analyze liver tissue images. It first utilizes the intensity to coarsely segment the tissue image and then makes use of the chromatic information to classify the segmented regions into four different tissue classes. Thus, the proposed method includes an unsupervised probabilistic relaxation segmentation process and a supervised Bayes classification process. The method has shown reliable liver tissue classification results from different test sample sets.

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Studies and publications

  • Acad Radiol. 2011 Apr;18(4):461-70. Epub 2011 Jan 8. Hepatic vessel segmentation for 3D planning of liver surgery experimental evaluation of a new fully automatic algorithm. Conversano F, et al.
Image Analysing for Liver Diagnostic

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