Computer-aided method for image feature analysis and diagnosis in mammography
First Claim
1. A method for automated detection of an abnormal anatomic region, comprising:
- obtaining a digital image of an object including said anatomic region;
subjecting said digital image to noise reduction filtering, comprising,subjecting said digital image to wavelet transformation including decomposing said digital image to the wavelet domain and reconstructing said digital image based on second and third level components in the decomposed digital image; and
performing predetermined signal extraction and feature analysis routines on the reconstructed digital image to identify locations of candidate abnormal regions.
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Abstract
A method for automated detection of abnormal anatomic regions, wherein a mammogram is digitized to produce a digital image and the digital image is processed using local edge gradient analysis and linear pattern analysis in addition to feature extraction routines to identify abnormal anatomic regions. Noise reduction filtering and pit-filling/spike-removal filtering techniques are also provided. Multiple difference imaging techniques are also used in which difference images employing different filter characteristics are obtained and processing results logically OR'"'"'ed to identify abnormal anatomic regions. In another embodiment the processing results with and without noise reduction filtering are logically AND'"'"'ed to improve detection sensitivity. Also, in another embodiment the wavelet transform is utilized in the identification and detection of abnormal regions. The wavelet transform is preferably used in conjunction with the difference imaging technique with the results of the two techniques being logically OR'"'"'ed.
100 Citations
10 Claims
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1. A method for automated detection of an abnormal anatomic region, comprising:
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obtaining a digital image of an object including said anatomic region; subjecting said digital image to noise reduction filtering, comprising, subjecting said digital image to wavelet transformation including decomposing said digital image to the wavelet domain and reconstructing said digital image based on second and third level components in the decomposed digital image; and performing predetermined signal extraction and feature analysis routines on the reconstructed digital image to identify locations of candidate abnormal regions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for automated detection of an abnormal anatomic region, comprising:
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obtaining a digital image of an object including said anatomic region; subjecting said digital image to noise reduction filtering, comprising, subjecting said digital image to wavelet transformation wherein said digital image is decomposed to a set of levels each characterized by a respective wavelet coefficient; producing a reconstructed digital image based on wavelet coefficients that correspond to a subset of said set of levels, in which subset of levels features of the abnormal anatomic region are pronounced, in the decomposed digital image so that the reconstructed image has a clearer pattern of abnormal regions in relation to said digital image subjected to noise reduction filtering; and performing predetermined signal extraction and feature analysis routines on the reconstructed digital image to identify locations of candidate abnormal regions. - View Dependent Claims (10)
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Specification