SYSTEM AND METHOD FOR AUTOMATIC RECOGNITION AND LABELING OF ANATOMICAL STRUCTURES AND VESSELS IN MEDICAL IMAGING SCANS
First Claim
1. A method for recognizing and labeling anatomical structures in an image, comprising:
- creating a list of objects such that one or more objects on the list appear before a target object;
setting an entire image as a context for a first object on the list;
detecting and labeling the first object by subtracting a background from the image;
setting a local context for a next object on the list using the first object;
detecting and labeling the next object by registration using the local context;
repeating the steps of setting a local context and detecting and labeling the next object until the target object is detected and labeled; and
refining labeling of the target object using region growing.
1 Assignment
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Accused Products
Abstract
A system and method for recognizing and labeling anatomical structures in an image includes creating a list of objects such that one or more objects on the list appear before a target object and setting the image as a context for a first object on the list. The first object is detected and labeled by subtracting a background of the image. A local context is set for a next object on the list using the first object. The next object is detected and labeled by registration using the local context. Setting a local context and detecting and labeling the next object are repeated until the target object is detected and labeled. Labeling of the target object is refined using region growing.
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Citations
25 Claims
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1. A method for recognizing and labeling anatomical structures in an image, comprising:
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creating a list of objects such that one or more objects on the list appear before a target object; setting an entire image as a context for a first object on the list; detecting and labeling the first object by subtracting a background from the image; setting a local context for a next object on the list using the first object; detecting and labeling the next object by registration using the local context; repeating the steps of setting a local context and detecting and labeling the next object until the target object is detected and labeled; and refining labeling of the target object using region growing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer readable medium comprising a computer readable program for recognizing and labeling anatomical structures in an image, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
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creating a list of objects such that one or more objects on the list appear before a target object; setting an entire image as a context for a first object on the list; detecting and labeling the first object by subtracting a background from the image; setting a local context for a next object on the list using the first object; detecting and labeling the next object by registration using the local context; repeating the steps of setting a local context and detecting and labeling the next object until the target object is detected and labeled; and refining labeling of the target object using region growing. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A method for recognizing and labeling objects in an image, comprising:
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providing a first image with anatomical objects with labels of the objects, a second image which is the same as the first image but without labels, and a target image having one or more anatomical structures to be recognized and labeled; storing all the images in indexable data structures in memory; subtracting a background of the second image and the target image by setting the pixels in the background to a unique pre-specified value; setting an initial alignment of the second image and the target image at a pre-selected point and angle; performing a progressively focused non-rigid registration with the second image and the target image according to a list of ordered reference objects; applying a transformation or deformation field produced in the registration to the first image to produce a transformed labeled image; projecting labels from the transformed labeled image to the target image; selecting one or more seed pixels; and region growing the seed pixels to produce a final recognition and labeling of the target image. - View Dependent Claims (18, 19)
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20. A system for recognizing and labeling anatomical structures in an image, comprising:
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a preprocessing unit configured to normalize a non-labeled atlas image and a target image, which is an image in which one or more anatomical structures are to be recognized and labeled, by mapping intensity values to new values within a pre-specified range to perform a background subtraction; a registration unit configured to perform a progressively focused non-rigid registration process that results in a registration between the non-labeled atlas image and the target image; and a segmentation unit configured to region grow a selected seed pixel or set of seed pixels using the results of the progressively focused registration process to output a final recognition and labeling of the target image with the labels of a labeled atlas image. - View Dependent Claims (21, 23, 24, 25)
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22. The system as recited in claim 22, wherein the registration unit is configured to perform the registration between a second image without atlas labels and the target image, where the second image is a same image as the first image.
Specification