A Framework For The Quantitative Assessment of Image-guided Percutaneous Ablation of Hepatic Lesions

Hrabuska, Radek; Sandu, Raluca-Maria; Paolucci, Iwan; Weber, Stefan (September 2018). A Framework For The Quantitative Assessment of Image-guided Percutaneous Ablation of Hepatic Lesions. In: CURAC 2018 Tagungsband der 17. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie. Leipzig, Deutschland. 13-15 Sep 2018.

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In recent years, percutaneous ablations of hepatic lesions are becoming a viable alternative to liver resection. Currently, radiologists’ subjective evaluation of the ablation success is considered as gold standard. However, further improvements in ablation technique require quantitative evaluation.
To compute such evaluation autonomously, it is necessary to annotate both lesions and resulting ablation zones. This responsibility has been recently transferred from physician to automatic methods based on computer vision and machine learning algorithms. Nevertheless, latter method requires currently unavailable large amounts of data. A semi-automatic method for lesion annotation could be a solution to this issue.
During intervention, metrics computed from annotated data will be used to support outcome evaluation. Metrics can be devised on basis of volume or distance measurement. Introduced metrics include coverage ratios and distances, in order to confirm sufficient size of ablation margin. Resulting set of evaluation criteria will provide tools for future studies of treatment results.

Item Type:

Conference or Workshop Item (Paper)


10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Hrabuska, Radek; Sandu, Raluca-Maria; Paolucci, Iwan and Weber, Stefan


500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health




Raluca-Maria Sandu

Date Deposited:

05 Dec 2018 10:08

Last Modified:

08 Nov 2019 23:12





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