MEDICAL IMAGING DATA PROCESSING APPARATUS AND METHOD
First Claim
Patent Images
1. A medical imaging data processing apparatus, comprising:
- setting circuitry configured to set a plurality of seeds at different locations in medical image data;
processing circuitry configured toestimate, from at least part of the medical image data, a first statistical distribution for pixels or voxels of a target class and at least one further statistical distribution for pixels or voxels of at least one further class;
select at least one seed from among the plurality of seeds by determining whether each seed belongs to the target class in dependence on the estimated first statistical distribution and the estimated at least one further distribution, and selecting seeds that are determined to belong to the target class, andexpand the at least one selected seed; and
region identifying circuitry configured to identify at least one target region based on a result of the expansion, wherein each identified target region comprises tissue belonging to the target class.
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Abstract
A medical imaging data processing apparatus comprises a setting circuitry configured to set a plurality of seeds at different locations in medical image data, a processing circuitry configured to select at least one seed from among the plurality of seeds and expand the at least one selected seed, and a region identifying circuitry configured to identify at least one target region based on a result of the expansion.
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Citations
25 Claims
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1. A medical imaging data processing apparatus, comprising:
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setting circuitry configured to set a plurality of seeds at different locations in medical image data; processing circuitry configured to estimate, from at least part of the medical image data, a first statistical distribution for pixels or voxels of a target class and at least one further statistical distribution for pixels or voxels of at least one further class; select at least one seed from among the plurality of seeds by determining whether each seed belongs to the target class in dependence on the estimated first statistical distribution and the estimated at least one further distribution, and selecting seeds that are determined to belong to the target class, and expand the at least one selected seed; and region identifying circuitry configured to identify at least one target region based on a result of the expansion, wherein each identified target region comprises tissue belonging to the target class. - View Dependent Claims (2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19)
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5. (canceled)
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14. (canceled)
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20. A medical imaging data processing method, comprising:
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setting a plurality of seeds at different locations in medical image data; estimating, from at least part of the medical image data, a first statistical distribution for pixels or voxels of a target class and at least one further statistical distribution for pixels or voxels of at least one further class; selecting at least one seed from among the plurality of seeds by determining whether each seed belongs to the target class in dependence on the estimated first statistical distribution and the estimated at least one further distribution, and selecting seeds that are determined to belong to the target class; expanding the at least one selected seed; and identifying at least one target region based on the result of the expansion, wherein each identified target region comprises tissue belonging to the target class.
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21. A non-transitory computer-readable storage medium storing a computer program comprising computer-readable instructions that are executable to perform a method comprising:
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setting a plurality of seeds at different locations in medical image data; estimating, from at least part of the medical image data, a first statistical distribution for pixels or voxels of a target class and at least one further statistical distribution for pixels or voxels of at least one further class; selecting at least one seed from among the plurality of seeds by determining whether each seed belongs to the target class in dependence on the estimated first statistical distribution and the estimated at least one further distribution, and selecting seeds that are determined to belong to the target class; expanding the at least one selected seed; and identifying at least one target region based on a result of the expansion, wherein each identified target region comprises tissue belonging to the target class.
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22. A medical imaging data processing apparatus, comprising:
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setting circuitry configured to set at least one seed in medical image data; processing circuitry configured to estimate, from at least part of the medical image data, a first statistical distribution for pixels or voxels of a target class and at least one further statistical distribution for pixels or voxels of at least one further class, the target class being follicles; select a seed from among the at least one seed by determining whether each seed belongs to the target class in dependence on the estimated first statistical distribution and the estimated at least one further distribution, and selecting a seed that is determined to belong to the target class, and vary an extent of the selected seed to obtain a candidate follicle region; and region identifying circuitry configured to process the candidate follicle region to identify at least one follicle. - View Dependent Claims (23, 24, 25)
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Specification