Fig. 2. Pipeline of the model. (A) After automated vessel segmentation and 3D skeletonization, approximately 2000 VOIs were extracted around each skeleton point for each TOF MRA examination. (B) For each VOI, a deep learning algorithm of 3D ResNet determined whether each VOI contains intracranial aneurysms or not. (C) Another deep learning algorithm of 3D Unet was applied to the resultant VOIs which were expected to contain intracranial aneurysms to predict the location of intracranial aneurysms. The model finally presents a 1.6×1.6×1.6 cm3 sized bounding box expected to contain an aneurysm on TOF MRA images. VOI, volume of interest; TOF, time-of-flight; MRA, magnetic resonance angiography.
