Method and system for automatic quality control used in computerized analysis of CT angiography
First Claim
Patent Images
1. A system for identifying a data quality issue associated with medical diagnostic data, the system comprising:
- an imaging apparatus configured to generate imaging data including a heart region and an aorta region of a patient; and
a processor operably coupled to the imaging apparatus to receive the generated imaging data, the processor configured to;
analyze the received imaging data;
identify a data quality issue associated with the received imaging data based on the analysis of the received imaging data;
generate a message including the identified data quality issue; and
send the generated message to a user, wherein the data quality issue is identified by comparing the analyzed imaging data with a quality control parameter and identifying the data quality issue based on the comparison, and wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data.
1 Assignment
0 Petitions
Accused Products
Abstract
A method and a system for identifying a data quality issue associated with medical diagnostic data is provided. The system includes, but is not limited to, an imaging apparatus configured to generate imaging data and a processor operably coupled to the imaging apparatus to receive the imaging data. The processor is configured to analyze the received imaging data; to identify a data quality issue associated with the received imaging data based on the analysis of the received imaging data; to generate a message including the identified data quality issue; and to send the generated message to a user.
244 Citations
18 Claims
-
1. A system for identifying a data quality issue associated with medical diagnostic data, the system comprising:
-
an imaging apparatus configured to generate imaging data including a heart region and an aorta region of a patient; and a processor operably coupled to the imaging apparatus to receive the generated imaging data, the processor configured to; analyze the received imaging data; identify a data quality issue associated with the received imaging data based on the analysis of the received imaging data; generate a message including the identified data quality issue; and send the generated message to a user, wherein the data quality issue is identified by comparing the analyzed imaging data with a quality control parameter and identifying the data quality issue based on the comparison, and wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data.
-
-
2. A non-transitory computer-readable medium with programmed instructions that, upon execution by a processor, cause the processor to identify a data quality issue associated with medical diagnostic data, the instructions comprising:
-
receiving imaging data; analyzing the received imaging data; identifying a data quality issue associated with the received imaging data based on the analysis of the received imaging data; generating a message including the identified data quality issue; and sending the generated message to a user, wherein identifying the data quality issue comprises; comparing the analyzed imaging data with a quality control parameter; and identifying the data quality issue based on the comparison, wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data.
-
-
3. A method of identifying a data quality issue associated with medical diagnostic data, the method comprising:
-
receiving imaging data at a computing device; analyzing the received imaging data at the computing device; identifying a data quality issue associated with the received imaging data based on the analysis of the received imaging data at the computing device; generating a message including the identified data quality issue at the computing device; and sending the generated message to a user, wherein identifying the data quality issue comprises; comparing the analyzed imaging data with a quality control parameter; and identifying the data quality issue based on the comparison, wherein the quality control parameter is a number of pathologies detected per blood vessel segment defined from the analyzed imaging data. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
-
Specification