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.