3D MRI-US multimodal alignment for real-time intervention - a tradeoff between accuracy and computation time

Multimodal MRI-US image fusion in image-guided therapy such as liver microwave ablation aids in correct placement of the applicator device. Significant tissue deformation due to breathing motion requires alignment of pre-interventional MRI on real-time interventional US to compensate for the motion. In this work, we present a hybrid framework (conventional and deep learning) for multimodal deformable registration to provide higher accuracy and retain the low latency required for real-time interventions.