Inquiry Regarding Registration Model Inference for Pre-to-Post Surgical Prediction

[wangnanv5]

Hello, I have a question regarding image registration that I would like to consult with you.
Currently, I possess paired binary images consisting of pre-operative and post-operative CT bone segmentation results for pectus excavatum surgery. My goal is to design a registration-based training framework where the model can generate the post-operative segmentation map solely by taking the pre-operative image as input during inference.
The objective of this experiment is relatively straightforward: to simulate minor deformations specifically in the skeletal structures surrounding the sternum. However, I have observed that all registration models available in MONAI require both a "moving image" and a "fixed image" (reference image) as inputs during the inference stage.
Could you please advise on how I can configure the workflow so that, during inference, the model only requires the pre-operative segmentation as input to predict the post-operative result?
I look forward to your valuable guidance.
Best regards,