Automatic brain tumor segmentation with subregions

Our models automatically perform brain tumor segmentation and segment 3 tumor subregions (edema, enhancing tumor and necrosis) and provide volume and RANO (Response assessment in neuro-oncology) measurements. It can be a useful tool for monitoring patients in clinical studies.

We are able to develop custom automated and semi-automated algorithms that analyse the brain and brain lesions, according to your need. The following example illustrates how our algorithms have been used to assess brain tumor segmentation, treatment and progression.

For each patient, we present the most representative slice for the tumor (usually the one selected for RANO calculation), and compare the results of our model in two time points. Our models require MRI studies with 4 sequences (T1-pre, T1-post, T2, FLAIR) but for visualization purposes, we present only T1-post and FLAIR series. The segmentations presented in the examples were also approved by our cooperating senior radiologist.

Patient responded well for the treatment, and we observe a strong enhancing tumor (ET) regression for this patient a year after the treatment. Automatic RANO measurement (marked with blue line segments in both scans) and ET volume both significantly decreased (-78% and -93%, respectively). The region of edema became much smaller, and necrosis is nearly absent.

Edema: 39 cm
Enhancing (ET): 2 cm3
Necrosis: 1 cm3

Our model showed a doubled tumor burden in just 2 months between scans for this patient. Two separate enhancing tumor regions have grown and merged into one big lesion. It is reflected in RANO measurement marked in the later scan (RANO for the earlier scan was measured on a different slice). All the subregions have expanded what confirms the rapid tumor progression.

Edema: 136 cm3
Enhancing (ET): 36 cm3
Necrosis: 20 cm3

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