Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like.

Abstract: Systems and methods of facilitating determination of risk of coronary artery disease (CAD) based at least in part on one or more measurements derived from non-invasive medical image analysis. The methods can include accessing a non-invasive generated medical image, identifying one or more arteries, identifying, regions of plaque within an artery, analyzing the regions of plaque to identify low density non-calcified plaque, non-calcified plaque, or calcified plaque based at least in part on density, determining a distance from identified regions of low density non-calcified plaque to one or more of a lumen wall or vessel wall, determining embeddedness of the regions of low density non-calcified plaque by one or more of non-calcified plaque or calcified plaque, determining a shape of the more regions of low density non-calcified plaque, and generating a display of the analysis to facilitate determination of one or more of a risk of CAD of the subject.

Abstract: Systems and methods of facilitating determination of risk of coronary artery disease (CAD) based at least in part on one or more measurements derived from non-invasive medical image analysis. The methods can include accessing a non-invasive generated medical image, identifying one or more arteries, identifying, regions of plaque within an artery, analyzing the regions of plaque to identify low density non-calcified plaque, non-calcified plaque, or calcified plaque based at least in part on density, determining a distance from identified regions of low density non-calcified plaque to one or more of a lumen wall or vessel wall, determining embeddedness of the regions of low density non-calcified plaque by one or more of non-calcified plaque or calcified plaque, determining a shape of the more regions of low density non-calcified plaque, and generating a display of the analysis to facilitate determination of one or more of a risk of CAD of the subject.

Abstract: A method, apparatus, and article of manufacture provide a mechanism for inserting performance code markers into programs to obtain and provide data regarding the run-time operation of the programs. The computing system has an init module, a performance code marker module for obtaining and storing the run-time internal state data for later retrieval, and an uninit module. The init module is executed before any run-time internal state data is collected. The performance code marker module is executed each time run-time internal state data is to be collected. The uninit module is executed after all run-time internal state data desired has been collected.

Abstract: A method, apparatus, and article of manufacture provide a mechanism for inserting performance markers into programs to obtain and provide data regarding the run-time benchmark timing of the programs. The computing system has an init module for determining if the benchmark timing data is to be collected during the operation of the application program, a performance marker module for obtaining and storing the benchmark timing data for later retrieval, and an uninit module for formatting and storing the obtained benchmark timing data into memory that permits retrieval after the termination of the application program. The init module is executed before any benchmark timing data is collected. The performance marker module is executed each time benchmark timing data is to be collected. The uninit module is executed after all benchmark timing data desired has been collected.

Abstract: A method, apparatus, and article of manufacture provide a mechanism for inserting performance markers into programs to obtain and provide data regarding the run-time benchmark timing of the programs. The computing system has an init module for determining if the benchmark timing data is to be collected during the operation of the application program, a performance marker module for obtaining and storing the benchmark timing data for later retrieval, and an uninit module for formatting and storing the obtained benchmark timing data into memory that permits retrieval after the termination of the application program. The init module is executed before any benchmark timing data is collected. The performance marker module is executed each time benchmark timing data is to be collected. The uninit module is executed after all benchmark timing data desired has been collected.