Automated analysis of infarct heterogeneity on delayed enhancement magnetic resonance images

YingLi Lu; Gideon A. Paul; Kim A. Connelly; Graham A. Wright; Perry E. Radau

doi:10.1117/12.876796

11 March 2011 Automated analysis of infarct heterogeneity on delayed enhancement magnetic resonance images

YingLi Lu, Gideon A. Paul, Kim A. Connelly, Graham A. Wright, Perry E. Radau

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79622F (2011) https://doi.org/10.1117/12.876796
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

In this work, we propose an automated infarct heterogeneity analysis method for cardiac delayed enhancement magnetic resonance images (DE-MRI). Advantages of this method include that it eliminates manual contouring of the left ventricle and automatically distinguishes infarct, "gray zone" (heterogeneous mixture of healthy and infarct tissue), and healthy tissue pixels despite variability in intensity and noise across images. Quantitative evaluation was performed on 12 patients. The automatically determined infarct core size and gray zone size showed high correlation with that derived from manual delineation (R² = 0.91 for infarct core size and R² = 0.87 for gray zone size). The automatic method shortens the evaluation to 5.6 ±2.2 s per image, compared with 3 min for the manual method. These results indicate a promising method for automatic analysis of infarct heterogeneity with DE-MRI that should be beneficial for reducing variability in quantitative analysis and improving workflow.

Citation Download Citation

YingLi Lu, Gideon A. Paul, Kim A. Connelly, Graham A. Wright, and Perry E. Radau "Automated analysis of infarct heterogeneity on delayed enhancement magnetic resonance images", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79622F (11 March 2011); https://doi.org/10.1117/12.876796

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