US 11,769,033 B2Granted

System, computer readable storage medium, and method for segmentation and enhancement of brain MRI images

AssigneeImam Abdulrahman Bin Faisal University

InventorsWaleed Khamees Ali Alomoush, Ayat Ahmad Meqbel Alrosan

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Abstract

A system and method of 3-D image segmentation of brain images includes obtaining a 3-D MRI image, an employee phase including performing search cycles of generating solutions in a neighborhood, taking into account (a) movement of a bee's current location toward a mean value of a positive direction of a global best location and a positive direction of its own best location, (b) movement of the bee's current location toward the mean value of the positive direction of its own best location and a negative direction of the global best location, and (c) a random number, calculating a fitness value for the solutions based on membership values of pixels and distances between the pixels to cluster centers of pixels until search ends. Image segmentation of the image is performed using centers of clusters.

Claims18

Dependent claims

A method of 3-D image segmentation by processing circuitry, the method comprising:

obtaining at least one 3-D Magnetic Resonance Image (MRI) image having a plurality of pixels;
an employee phase including performing at least one search cycle comprising:
generating a plurality of solutions in a neighborhood of an employed bee's current location, taking into account:
(a) movement of the employed bee's current location toward a mean value of a positive direction of a global best location and a positive direction of its own best location, wherein the bee's current location is a location of a pixel of the 3-D MRI image and the global best location is a center of a cluster,
(b) movement of the employed bee's current location toward the mean value of the positive direction of its own best location and a negative direction of the global best location, and
(c) a random number;
calculating a fitness value for each of the plurality of solutions based on membership values and distances to the cluster centers, wherein each of the membership values is determined based on a degree of membership of the pixel location of the 3-D MRI image to a cluster, and the distances are distances between the pixel locations and the cluster centers;
and
evaluating the solutions based on the fitness value to determine an end of the search cycle;
performing image segmentation of the 3-D MRI image based on the centers of the plurality of clusters;
and
displaying the segmented 3-D image.

9 more elements

A system for 3-D image segmentation, the system comprising:

processing circuitry configured to
obtain at least one 3-D Magnetic Resonance Image (MRI) image having a plurality of pixels,
perform, in an employee phase, at least one search cycle comprising:
generating a plurality of solutions in a neighborhood of an employed bee's current location, taking into account
(a) movement of the employed bee's current location toward a mean value of a positive direction of a global best location and a positive direction of its own best location, wherein the bee's current location is a location of a pixel of the 3-D MRI image and the global best location is a center of a cluster,
(b) movement of the employed bee's current location toward the mean value of the positive direction of its own best location and a negative direction of the global best location, and
(c) a random number,
calculating a fitness value for each of the plurality of solutions based on membership values and distances to the cluster centers, wherein each of the membership values is determined based on a degree of membership of the pixel location of the 3-D MRI image to a cluster, and the distances are distances between the pixel locations and the cluster centers, and
evaluating the solution based on the fitness value to determine an end of the search cycle,
perform image segmentation of the 3-D MRI image based on centers of the plurality of clusters;
and
a display device displaying the segmented 3-D image.

9 more elements

A non-transitory computer readable storage medium storing processing instructions, which when performed by processing circuitry, performs 3-D image segmentation comprising steps of:

obtaining at least one 3-D Magnetic Resonance Image (MRI) image having a plurality of pixels;
an employee phase including performing at least one search cycle comprising:
generating a plurality of solutions in a neighborhood of an employed bee's current location, taking into account
(a) movement of the employed bee's current location toward a mean value of a positive direction of a global best location and a positive direction of its own best location, wherein the bee's current location is a location of a pixel of the 3-D MRI image and the global best location is a center of a cluster,
(b) movement of the employed bee's current location toward the mean value of the positive direction of its own best location and a negative direction of the global best location, and
(c) a random number;
calculating a fitness value for each of the plurality of solutions based on membership values and distances to the cluster centers, wherein each of the membership values is determined based on a degree of membership of the pixel location of the 3-D MRI image to a cluster, and the distances are distances between the pixel locations and the cluster centers;
and
evaluating the solution based on the fitness value to determine an end of the search cycle;
performing image segmentation of the 3-D MRI image based on centers of the plurality of clusters;
and
displaying the segmented 3-D image.

9 more elements

Dependencies are inferred from the claim text.