Anterior commissure and posterior commissure segmentation system and method

Inventors

Geiger, Paul Arthur

Assignees

Merge Healthcare Inc • Merative US LP

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Publication Number

US-8737712-B2

Patent

Publication Date

2014-05-27

Expiration Date


Abstract

A computer-implemented system and method of determining anterior commissure (AC) and posterior commissure (PC) points in a volumetric neuroradiological image. The method includes determining, by a computer, a mid-sagittal plane estimate to extract a mid-sagittal plane image from the volumetric neuroradiological image, and AC and PC point estimates in the mid-sagittal plane image. The method further includes determining, by the computer, a refined mid-sagittal plane estimate from the AC and PC point estimates to extract a refined mid-sagittal plane image, the AC point from the refined mid-sagittal plane image, and the PC point from the refined mid-sagittal plane image and the AC point.

Core Innovation

The patent describes a computer-implemented method for determining an anterior commissure (AC) point and a posterior commissure (PC) point in a volumetric image. The method creates an edge mask of each of a plurality of axial image slices included in the volumetric image, identifies a symmetry axis of each edge mask, and fits a plane to the symmetry axes, the plane defining a mid-sagittal plane estimate.

Based on the mid-sagittal plane estimate, the method extracts a mid-sagittal image from the volumetric image and determines the AC point and the PC point in the mid-sagittal plane image. The approach further refines the mid-sagittal plane using the AC point and the PC point to extract a refined mid-sagittal plane image, and updates at least one of the AC point and the PC point.

The patent also describes an image processing system and a non-transitory computer readable medium with processor-executable instructions to perform the workflow. The system includes modules configured to identify a mid-sagittal plane image included in the volumetric image using an AC point approximation and a PC point approximation, and then identify the AC point and the PC point based on the mid-sagittal plane image.

Claims Coverage

The independent claims cover a computer-implemented method, an image processing system, and a non-transitory computer readable medium for determining AC and PC points using mid-sagittal plane estimation and refinement. The inventive features center on extracting a mid-sagittal plane image from a volumetric image and determining AC and PC points from that image, with refinement of the mid-sagittal plane and updating at least one AC or PC point in some claims.

Edge-mask symmetry axis plane fitting to define a mid-sagittal plane estimate

creating an edge mask of each of a plurality of axial image slices included in the volumetric image; identifying a symmetry axis of each edge mask; fitting a plane to the symmetry axes, the plane defining a mid-sagittal plane estimate

Extracting a mid-sagittal image to determine AC and PC points

extracting a mid-sagittal image from the volumetric image based on the mid-sagittal plane estimate; determining the AC point and the PC point in the mid-sagittal plane image

Refined mid-sagittal plane extraction and AC/PC update

determining a refined mid-sagittal plane based on the AC point and the PC point to extract a refined mid-sagittal plane image; updating at least one of the AC point and the PC point based on the refined mid-sagittal plane image

System modules using AC/PC point approximations to identify a mid-sagittal plane image

a first module configured to identify a mid-sagittal plane image included in the volumetric image using an AC point approximation and a PC point approximation; a second module configured to identify the AC point based on the mid-sagittal plane image; and a third module configured to identify the PC point based on the mid-sagittal plane image and the AC point

Across the independent claims, the core claim coverage centers on creating edge masks for axial slices, identifying symmetry axes, fitting a plane to define a mid-sagittal plane estimate, extracting a mid-sagittal plane image, and determining AC and PC points from that image, with refinement of the mid-sagittal plane based on AC and PC and updating at least one of the AC and PC points.

Stated Advantages

Documented Applications

image normalization

stereotactic/functional neurosurgery targeting

brain mapping/segmentation

PACS/software/toolkits

multi-modality image merging

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