Adaptive nonlinear optimization of shape parameters for object localization in 3d medical images

An apparatus for localizing a target object in a medical image, comprising:

• means for discretizing the medical image into a plurality of images having different resolutions;
• means for, for each respective image of the plurality of images, starting from a first image and progressing to a last image with the progression increasing in resolution, performing a sequence of actions for modifying parameters of the target object in the respective image, the parameters of the target object comprising nonlinear parameters of the target object, wherein the sequence of actions comprises discrete actions determined by an artificial intelligence (AI) agent trained for a resolution of the respective image to optimize a reward function;
• and
• means for localizing the target object in the medical image based on the modified parameters of the target object in the last image.

A non-transitory computer readable medium storing computer program instructions for localizing a target object in a medical image, the computer program instructions when executed by a processor cause the processor to perform operations comprising:

• discretizing the medical image into a plurality of images having different resolutions;
• for each respective image of the plurality of images, starting from a first image and progressing to a last image with the progression increasing in resolution, performing a sequence of actions for modifying parameters of the target object in the respective image, the parameters of the target object comprising nonlinear parameters of the target object, wherein the sequence of actions comprises discrete actions determined by an artificial intelligence (AI) agent trained for a resolution of the respective image to optimize a reward function;
• and
• localizing the target object in the medical image based on the modified parameters of the target object in the last image.