Key result
The semi-automated segmentation algorithm accurately delineated the left ventricle over the cardiac cycle, yielding a mean absolute difference of 1.01 mm and a Dice overlap score of 0.93.
Why the study?
Left ventricle delineation on echocardiography is challenging due to speckle noise and a low signal-to-noise ratio.
Does a semi-automated diffeomorphic registration algorithm improve the accuracy of volumetric segmentation of the left ventricle in 3D echocardiography compared to other registration algorithms?
Does a semi-automated diffeomorphic registration algorithm improve the accuracy of volumetric segmentation of the left ventricle in 3D echocardiography compared to other registration algorithms?
The proposed semi-automated diffeomorphic registration algorithm provides highly accurate 4D volumetric segmentation of the left ventricle in 3D echocardiography without relying on geometric priors or training data.
May aid LV segmentation in challenging 3D echo; leaves open clinical validation before routine use.
PURPOSE: Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function. However, delineation of the left ventricle is challenging due to the inherent properties of ultrasound imaging, such as the presence of speckle noise and the low signal-to-noise ratio. METHODS: We propose a semi-automated segmentation algorithm for the delineation of the left ventricle in temporal 3D echocardiography sequences. The method requires minimal user interaction and relies on a diffeomorphic registration approach. Advantages of the method include no dependence on prior geometrical information, training data, or registration from an atlas. RESULTS: The method was evaluated using three-dimensional ultrasound scan sequences from 18 patients from the Mazankowski Alberta Heart Institute, Edmonton, Canada, and compared to manual delineations provided by an expert cardiologist and four other registration algorithms. The segmentation approach yielded the following results over the cardiac cycle: a mean absolute difference of 1.01 (0.21) mm, a Hausdorff distance of 4.41 (1.43) mm, and a Dice overlap score of 0.93 (0.02). CONCLUSION: The method performed well compared to the four other registration algorithms.
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A 2022 study studied Left ventricular function assessment (n=18). Semi-automated volumetric segmentation algorithm vs. Manual expert delineation and other registration algorithms was evaluated on Mean absolute difference (dm) over the cardiac cycle. The semi-automated segmentation algorithm accurately delineated the left ventricle over the cardiac cycle, yielding a mean absolute difference of 1.01 mm and a Dice overlap score of 0.93.
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