Model-based Automatic Segmentation Algorithm Accurately Assesses the Whole Cardiac Volumetric Parameters in Patients with Cardiac CT Angiography
| Autor: | Song Shou Mao, Franklin Lam, Christine Liu, Yanlin Gao, Dong Li, Yanting Luo, Mani Vembar, Fred Flores, Kelly Woo, Matthew J. Budoff, Younus Saleem Syed |
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| Rok vydání: | 2014 |
| Předmět: |
Accuracy and precision
medicine.medical_specialty Ejection fraction medicine.diagnostic_test Computer science business.industry Stroke volume Software Cardiac chamber Angiography medicine Radiology Nuclear Medicine and imaging Segmentation Radiology business Algorithm Computed tomography angiography |
| Zdroj: | Academic Radiology. 21:639-647 |
| ISSN: | 1076-6332 |
| DOI: | 10.1016/j.acra.2014.01.010 |
| Popis: | Rationale and Objectives The cardiac chamber volumes and functions can be assessed manually and automatically using the current computed tomography (CT) workstation system. We aimed to evaluate the accuracy and precision and to establish the reference values for both segmentation methods using cardiac CT angiography (CTA). Materials and Methods A total of 134 subjects (mean age 55.3 years, 72 women) without heart disease were enrolled in the study. The cardiac four-chamber volumes, left ventricular (LV) mass, and biventricular functions were measured with manual, semiautomatic, and model-based fully automatic approaches. The accuracies of the semiautomated and fully automated approaches were validated by comparing them with manual segmentation as a reference. The precision error was determined and compared for both manual and automatic measurements. Results No significant difference was found between the manual and semiautomatic assessments for the assessment of all functional parameters ( P > .05). Using the manual method as a reference, the automatic approach provided a similar value in LV ejection fraction and left atrial volumes in both genders and right ventricular (RV) stroke volume in women ( P > .05), with some underestimation of RV volume ( P P Conclusions The model-based fully automatic segmentation algorithm can help with the assessment of the cardiac four-chamber volume and function. This may help in establishing reference values of functional parameters in patients who undergo cardiac CTA. |
| Databáze: | OpenAIRE |
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