Volumetry for selective internal radiation therapy of the liver.
© Fraunhofer MEVIS

Accurate liver and tumor volumetry is a prerequisite for dosimetry. Fully automatic algorithms could notably decrease the SIR planning time.

The applied dose in the SIRT is typically computed for the left and right liver lobe using the tumor burden (tumor to liver lobe volume ratio) as an essential parameter. Being able to determine the tumor burden precisely and efficiently requires automatic methods since in the case of SIRT patients, manual tumor segmentation is a very time-consuming task due to their amount.

In the SIRTOP project novel segmentation algorithms are being developed using recent deep learning methods and statistical shape models for automatic liver and tumor segmentation in CT and MR images. Moreover, a further optimization of the planning process is strived for, by computing the dose locally per liver supply areas determined using the hepatic artery segmentation. The knowledge of the hepatic artery branches supplying the tumors could also improve the planning of the catheter positions used during the intervention.


Chlebus G, Schenk A, Thoduka S, Abolmaali N, Endo I, Meine H (2017) Comparison of Model Initialization Methods for Liver Segmentation using Statistical Shape Models. Proccedings of Computer Assisted Radiology And Surgery.

Thoduka S, Schilling P, Chlebus C, Schenk A, Abolmaali N (2017) Standardising liver volumetry to optimise selective Internal radiotherapy (SIRT) dosimetry. Proceedings of European Congress on Radiology (ECR).