Method and system for a brain image pipeline and brain image region location and shape prediction

Abstract

A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.

Description

technical field [0001] Embodiments disclosed herein relate generally to medical imaging systems, and in particular to the generation and use of high-quality multimodal brain atlases of a specific patient in support of medical procedures, including but not limited to brain surgery and including deep brain stimulation (DBS). Background technique [0002] The use of medical images to guide neurosurgery is widespread. The brain is a complex organ, filled with structures and blood vessels that are both critical to a patient's survival and well-being, and difficult to perceive with imaging techniques alone. Three-dimensional imaging techniques that have become available, notably MRI using various contrast weights, have made individual internal features of the brain readily identifiable, ready for delicate, safe and more effective surgery. In practice, however, even a set of current imaging techniques, and especially those available in routine clinical settings, are insufficient t...

AI Technical Summary

Problems solved by technology

This is partly due to potentially lower therapeutic efficacy or side effects caused by insufficient positioning of the DBS electrodes in other areas of the STN (for PD) or other diseases

[0010] Manual segmentation is time consuming and largely driven by anatomical subjectivity due in part to the lack of clear visualization with clinical, often low-field MRI protocols

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