Method and system to enhance robust identification of abnormal regions in radiographs
First Claim
1. A method of detecting an abnormal region in living tissue depicted in a digital radiograph, the method comprising:
- identifying a suspected abnormal region depicted in the radiograph;
extracting multiple topographic layers of the suspected abnormal region from the digital radiograph, the multiple topographic layers being extracted from the same radiograph;
determining features of the region in each of said layers; and
applying an inter-layer multivariate criterion to said features to determine whether said suspected abnormal region is an abnormal region.
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Abstract
A method and apparatus for detecting abnormal regions in living tissue depicted in a digital radiograph includes identifying suspected abnormal regions depicted in the radiograph and then, for each identified suspected abnormal region, extracting multiple topographic layers of the region from the digital radiograph; determining features of the region in each of the layers; and applying inter-layer multivariate non-linear criteria to the features to determine whether the suspected abnormal region is to be classified as an abnormal region. The distribution of digital values in the digitized radiograph is modified and a probabalistic determination is made as to whether suspected abnormal regions are actually abnormal from multiple analyses. An image is processed using at least two partially correlated detection schemes to produce at least two corresponding result sets of potentially abnormal regions; and the results of the detection schemes are combined using logical "AND" or logical "OR" combining rules to detect abnormal regions in the radiograph.
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Citations
23 Claims
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1. A method of detecting an abnormal region in living tissue depicted in a digital radiograph, the method comprising:
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identifying a suspected abnormal region depicted in the radiograph; extracting multiple topographic layers of the suspected abnormal region from the digital radiograph, the multiple topographic layers being extracted from the same radiograph; determining features of the region in each of said layers; and applying an inter-layer multivariate criterion to said features to determine whether said suspected abnormal region is an abnormal region. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 15, 18, 21)
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9. A method of detecting abnormal regions in living tissue depicted in a digital radiograph, the method comprising:
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identifying suspected abnormal regions depicted in the radiograph; for each identified suspected abnormal region, (a) extracting multiple topographic layers of the region from the digital radiograph, the multiple topographic layers being extracted from the same radiograph; (b) determining features of the region in each of said layers; and (c) applying inter-layer multivariate criteria to said features to determine whether said suspected abnormal region is an abnormal region. - View Dependent Claims (16, 19, 22)
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10. An apparatus for detecting abnormal regions in living tissue depicted in a digital radiograph, the apparatus comprising:
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means for identifying suspected abnormal regions depicted in the radiograph; means for extracting multiple topographic layers of the region from the digital radiograph for each suspected abnormal region identified by the means for identifying, the multiple topographic layers all being extracted from the same radiograph; means for determining features in each of said layers extracted by the means for extracting; and means for applying inter-layer multivariate criteria to said features to determine whether said suspected abnormal region is an abnormal region. - View Dependent Claims (11, 12, 13, 14, 17, 20, 23)
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Specification