Medical Image Processing
AssigneeMedicsight PLC
InventorsXujiong YE, Gregory Gibran Slabaugh
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Abstract
A computer-implemented method of detecting an object in a three-dimensional medical image comprises determining the values of a plurality of features at each voxel in at least a portion of the medical image. Each feature characterises a respective property of the medical image at a particular voxel. The likelihood probability distribution of each feature is calculated based on the values of the features and prior medical knowledge. A probability map is generated by using Bayes' law to combine the likelihood probability distributions, and the probability map is analysed to detect an object.
Claims32
A method for detecting an object in a three-dimensional medical image, comprising:
- determining, by a processing device, from data representing the three-dimensional medical image, for each voxel in a portion of the three-dimensional medical image, values of a plurality of features at the voxel, wherein each feature at the voxel characterizes a respective property of the three-dimensional medical image at the voxel;
- calculating, by the processing device, a likelihood probability distribution of each feature based on the determined values of the feature and a parameter value derived from training data;
- generating, by the processing device, a probability map that indicates a probability of each voxel in the portion of the three-dimensional medical image containing an object to be detected, wherein said generating a probability map includes combining, using Bayes' law, the likelihood probability distributions of the plurality of features at each respective voxel of the portion of the three-dimensional medical image;
- detecting, by the processing device, the object in the portion of the three-dimensional medical image based on the probability map;
- and
- outputting, by the processing device, an indication of the detected object.
A computer-readable storage medium having stored thereon computer-executable instructions, execution of which by a processing device causes the processing device to perform operations for detecting an object in a three-dimensional medical image, the operations comprising:
- determining, from data representing the three-dimensional medical image, for each voxel in a portion of the three-dimensional medical image, values of a plurality of features at the voxel, wherein each feature at the voxel characterizes a respective property of the three-dimensional medical image at the voxel;
- calculating a likelihood probability distribution of each feature based on the determined value of the feature and a parameter value derived from training data;
- generating a probability map that indicates a probability of each voxel in the portion of the three-dimensional medical image containing an object to be detected, wherein said generating a probability map includes combining, using Bayes' law, the likelihood probability distributions of the plurality of features at each respective voxel of the portion of the three-dimensional medical image;
- detecting the object in the portion of the three-dimensional medical image based on the probability map;
- and
- outputting an indication of the detected object.
An apparatus for detecting an object in a three-dimensional medical image, the apparatus comprising:
- a processing device configured to:
- determine, from data representing the three-dimensional medical image, for each voxel in a portion of the three-dimensional medical image, values of a plurality of features at the voxel, wherein each feature at the voxel characterizes a respective property of the three-dimensional medical image at the voxel;
- calculate a likelihood probability distribution of each feature based on the determined values of the feature and a parameter value derived from training data;
- generate a probability map that indicates a probability of each voxel in the portion of the three-dimensional medical image containing an object to be detected, wherein the generating a probability map includes combining, using Bayes' law, the likelihood probability distributions of the plurality of features at each respective voxel of the portion of the three-dimensional medical image;
- detect an object in the portion of the three-dimensional medical image based on the probability map;
- and
- output an indication of the detected object.
Dependencies are inferred from the claim text.