Computer aided diagnosis of an image set
First Claim
Patent Images
1. A method for computer aided processing of dual or multiple energy images, the method comprising:
- employing a data source, the data source including a dual or multiple energy image set including a high energy image, a low energy image, a bone image, and a soft tissue image;
defining a region of interest within an image from the dual or multiple energy image set;
extracting feature measures from the region of interest; and
, reporting at least one of the feature measures on the region of interest.
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Abstract
A method, system, and storage medium for computer aided processing of an image set includes employing a data source, the data source including an image set acquired from X-ray projection imaging, x-ray computed tomography, or x-ray tomosynthesis, defining a region of interest within one or more images from the image set, extracting feature measures from the region of interest, and reporting at least one of the feature measures on the region of interest. The method may be employed for identifying bone fractures, disease, obstruction, or any other medical condition.
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Citations
56 Claims
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1. A method for computer aided processing of dual or multiple energy images, the method comprising:
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employing a data source, the data source including a dual or multiple energy image set including a high energy image, a low energy image, a bone image, and a soft tissue image;
defining a region of interest within an image from the dual or multiple energy image set;
extracting feature measures from the region of interest; and
,reporting at least one of the feature measures on the region of interest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A system for computer aided processing of dual energy images, the system comprising:
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a detector generating a first image representative of photons at a first energy level passing through a structure and a second image representative of photons at a second energy level passing through the structure;
a memory coupled to the detector, the memory storing the first image and the second image;
a processing circuit coupled to the memory, the processing circuit processing a dual energy image set including a first decomposed image, a second decomposed image, a high energy image, and a low energy image from the first image and the second image, storing the dual energy image set in the memory as a data source, defining a region of interest within an image from the dual energy image set, and extracting feature measures from the region of interest; and
,a reporting device coupled to the processing circuit, the reporting device reporting at least one of the feature measures. - View Dependent Claims (24, 25, 26, 27)
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28. A system for computer aided processing of dual energy images, the system comprising:
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detection means for generating a first image representative of photons at a first energy level passing through a structure and a second image representative of photons at a second energy level passing through the structure;
storage means for storing the first image and the second image;
processing means for processing a dual energy image set including a first decomposed image, a second decomposed image, a high energy image, and a low energy image from the first image and the second image, storing the dual energy image set in the memory as a data source, defining a region of interest within an image from the dual energy image set, extracting feature measures from the region of interest, employing a feature selection algorithm on the set of feature measures and identifying an optimal set of features, classifying the optimal set of features, and incorporating prior knowledge from training into classifying the optimal set of features; and
,display means for displaying the classified optimal set of features. - View Dependent Claims (29, 30, 31, 32)
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33. A storage medium encoded with a machine readable computer program code, said code including instructions for causing a computer to implement a method for aiding in processing of dual or multiple energy images, the method comprising:
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employing a data source, the data source including a dual or multiple energy image set having a first decomposed image, a second decomposed image, a high energy image, and a low energy image;
defining a region of interest within an image from the dual or multiple energy image set;
extracting feature measures from the region of interest; and
,employing a feature selection algorithm on the feature measures for identifying an optimal set of features.
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34. A method for detecting bone fractures, erosions, calcifications or metastases, the method comprising:
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utilizing a bone image from a dual or multiple energy image set;
selecting a region of interest within the bone image to search for a calcification, fracture or metastatic bone lesion;
segmenting bone from a background of the bone image; and
,identifying a candidate region within the bone as a candidate for a calcification, fracture, erosion, or metastatic bone lesion. - View Dependent Claims (35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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47. A method for detecting lung disease, the method comprising:
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utilizing a soft-tissue image from a dual or multiple energy image set;
selecting a region of interest within the soft-tissue image to search for an indication of disease;
segmenting the region of interest from a background of the soft-tissue image;
identifying a candidate region within a bone image which correlates to the region of interest in the soft-tissue image;
extracting features from the candidate region in the bone image; and
,classifying the region of interest in the soft-tissue image as a candidate for soft-tissue disease utilizing the features extracted from the bone image. - View Dependent Claims (48, 49, 50, 51)
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52. A method for computer aided processing of computed tomography images, the method comprising:
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acquiring an image set of dual energy computed tomography images;
employing a data source, the data source including the image set;
defining a region of interest within an image from the image set;
extracting feature measures from the region of interest; and
,reporting at least one of the feature measures on the region of interest.
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53. A method for computer aided processing of volumetric computed tomography images, the method comprising:
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acquiring an image set of volumetric computed tomography images;
employing a data source, the data source including the image set;
defining a region of interest within an image from the image set;
extracting feature measures from the region of interest; and
,reporting at least one of the feature measures on the region of interest. - View Dependent Claims (54)
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55. A method for computer aided processing of x-ray tomosynthesis images, the method comprising:
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acquiring an image set of tomosynthesis images;
employing a data source, the data source including the image set;
defining a region of interest within an image from the image set;
extracting feature measures from the region of interest; and
,reporting at least one of the feature measures on the region of interest. - View Dependent Claims (56)
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Specification