Systems and methods for automated diagnosis and decision support for breast imaging
First Claim
1. A method for providing automatic diagnosis and decision support for breast imaging in an imaging process apparatus, comprising:
- obtaining information from image data of abnormal breast tissue of a subject patient;
obtaining information from non-image data records of the subject patient by extracting the non-image information from an unstructured free-text source using phrase spotting; and
automatically diagnosing the abnormal breast tissue using the obtained information from image data and the extracted non-image information.
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Accused Products
Abstract
CAD (computer-aided diagnosis) systems and applications for breast imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated diagnosis of breast cancer other automated decision support functions that enable decision support for, e.g., screening and staging for breast cancer. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.
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Citations
38 Claims
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1. A method for providing automatic diagnosis and decision support for breast imaging in an imaging process apparatus, comprising:
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obtaining information from image data of abnormal breast tissue of a subject patient; obtaining information from non-image data records of the subject patient by extracting the non-image information from an unstructured free-text source using phrase spotting; and automatically diagnosing the abnormal breast tissue using the obtained information from image data and the extracted non-image information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for providing automatic diagnosis and decision support for breast imaging in an imaging process apparatus, comprising:
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obtaining information from ultrasound image data of abnormal breast tissue of a subject patient; obtaining information from non-image data records of the subject patient by extracting the non-image information from an unstructured free-text source using phrase spotting; automatically extracting features from the ultrasound image data, the extracted features comprising at least two of strain, fluid motion, blood motion, and B-mode images wherein the ultrasound image data comprises 3D ultrasound image data and further comprising extracting features from the 3D ultrasound image data; and automatically diagnosing the abnormal breast tissue using the extracted features and the extracted non-image information.
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18. A method for providing automated diagnostic and decision support for medical imaging in an imaging process apparatus, comprising:
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automatically extracting features from patient data of a subject patient, the patient data comprising image data and non-image data, wherein extraction of non-image data is performed from an unstructured free-text source using phrase spotting; and automatically determining a current state of the subject patient by analyzing the features extracted from the patient data of the subject patient; and automatically providing decision support to assist physician workflow regarding a healthcare or diagnostic or therapeutic path for the subject patient, based on a determined current state of the subject patient. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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Specification