This project aims to develop a machine learning model capable of reconstructing a 3D volume using the ultrasound images of a forearm, tracked probe data, and the calibration matrix as inputs. The model should be able to compensate for inaccuracies in the calibration matrix, thereby improving the accuracy of the reconstructed 3D volume. What you […]