Method and system for automated interpretation of computer tomography scan data
OwnerSupratik Kumar Moulikinventor
Life of this patent
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Abstract
Disclosed is a method for interpreting image data that represents variations in density of matter inside a subject. For instance, a data processing system may receive image data from a scan of a subject. The data processing system automatically discerns one or more bones, one or more arteries, and one or more organs of the subject, based at least in part on the image data. The data processing system may also automatically identify one or more of the discerned bones, arteries, and organs. The data processing system may also produce output that depicts one or more of the identified bones, one or more of the identified arteries, and/or one or more of the identified organs, for use by a radiologist or other user. Other embodiments are described and claimed.
Claims21
A method for interpreting image data that represents variations in density of matter inside a subject, the method comprising:
- receiving image data from a scan of a subject;
- automatically discerning one or more bones of the subject, based at least in part on the image data;
- automatically identifying, by the automatic image recognition software executed by the processor, one or more of the discerned bones, comprising:
- (a) selecting candidate points on one or more margins of the one or more discerned bones,
- (b) comparing the candidate points to one or more anatomical models of bone structure, and
- (c) identifying a particular bone based at least in part on the comparison;
- automatically discerning one or more arteries of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned arteries;
- automatically discerning one or more organs of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned organs;
- producing output that depicts one or more of the identified bones;
- producing output that depicts one or more of the identified arteries;
- and
- producing output that depicts one or more of the identified organs.
An article of manufacture containing software for interpreting image data that represents variations in density of matter inside a subject, the article of manufacture comprising:
- a machine accessible storage medium;
- and
- instructions in the machine accessible storage medium, wherein the instructions, when executed by a machine, enable the machine to perform operations comprising:
- receiving image data from a scan of a subject;
- automatically discerning one or more bones of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned bones, comprising:
- (a) selecting candidate points on one or more margins of the one or more discerned bones,
- (b) comparing the candidate points to one or more anatomical models of bone structure, and
- (c) identifying a particular bone based at least in part on the comparison;
- automatically discerning one or more arteries of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned arteries;
- automatically discerning one or more organs of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned organs;
- and
- producing output that depicts one or more of the identified bones, one or more of the identified arteries, and one or more of the identified organs.
A data processing system for interpreting image data that represents variations in density of matter inside a subject, the data processing system comprising:
- at least one processor;
- at least one machine accessible storage medium responsive to the processor;
- and
- instructions in the machine accessible storage medium, wherein the instructions, when executed by the at least one processor, enable the processor to perform operations comprising:
- receiving image data from a scan of a subject;
- automatically discerning one or more bones of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned bones, comprising:
- (a) selecting candidate points on one or more margins of the one or more discerned bones,
- (b) comparing the candidate points to one or more anatomical models of bone structure, and
- (c) identifying a particular bone based at least in part on the comparison;
- automatically discerning one or more arteries of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned arteries;
- automatically discerning one or more organs of the subject, based at least in part on the image data;
- automatically identifying one or more of the discerned organs;
- and
- producing output that depicts one or more of the identified bones, one or more of the identified arteries, and one or more of the identified organs.
Dependencies are inferred from the claim text.