Method and system for automatic planning of a minimally invasive thermal ablation and method for training a neural network

Abstract

A computer-implemented method for planning a thermal ablation of a target object within a biological body includes acquiring an object image within the body, determining an object position within the body from the image, determining external body surface position relative to the object position from the image, acquiring, for an initial set of ablation needles those of types for the ablation, and for each type, a set of characterizing features common to all needles of a same type, including a fixed and/or variable parameter. A neural ordinary differential equation algorithm receives a characterizing feature, external surface position, object position, algorithm for outputting an ablation plan, including a final set of needles for ablating the object, and for each needle of the final set, type, trajectory from the external surface, and optionally, a variable parameter value. The plan is provided through an interface to guide a clinician for object ablation.