Methods for optimizing the planning and placement of probes in the brain via multimodal 3D analyses of cerebral anatomy

A non-transitory computer-readable medium encoded with instructions that are executable by one or more processors to:

• obtain a first imaging scan and a second imaging scan of a single subject brain;
• convert the first imaging scan to a first dataset, and the second imaging scan to a second dataset;
• apply an adaptive segmentation algorithm to the first dataset and the second dataset, wherein the adaptive segmentation algorithm performs automatic intensity-based tissue classification to generate a first labelled dataset and a second labeled dataset;
• automatically co-register the first labeled dataset and the second labeled dataset to each other to generate a transformation matrix based on the first labeled dataset and the second labeled dataset;
• and
• apply the transformation matrix to align the first dataset and the second dataset.

A system, comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors, wherein the memory stores instructions that configure the one or more processors to:
• obtain a first imaging scan and a second imaging scan of a subject brain;
• convert the first imaging scan to a first dataset, and the second imaging scan to a second dataset;
• apply an adaptive segmentation algorithm to the first dataset and the second dataset, wherein the adaptive segmentation algorithm performs automatic intensity-based tissue classification to generate a first labeled dataset and a second labeled dataset;
• automatically co-register the first labeled dataset and the second labeled dataset to each other to generate a transformation matrix based on the first labeled dataset and the second labeled dataset;
• and
• apply the transformation matrix to align the first dataset and the second dataset.