A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences

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 sign...

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Vydáno v:Cardiovascular engineering and technology Ročník 13; číslo 1; s. 55 - 68
Hlavní autoři: Krishnaswamy, Deepa, Hareendranathan, Abhilash R., Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.02.2022
Springer Nature B.V
Témata:
Algorithms
Automation
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedical Engineering/Biotechnology
Biomedicine
Cardiology
Delineation
Echocardiography
Echocardiography, Three-Dimensional
Heart
Heart Ventricles - diagnostic imaging
Humans
Image segmentation
Metric space
Original Article
Registration
Signal to noise ratio
Ultrasonic imaging
Diffeomorphic
Image segmentation
Image registration
Echocardiography
Left ventricle
ISSN:1869-408X, 1869-4098, 1869-4098
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Shrnutí: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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ISSN:1869-408X
1869-4098
1869-4098
DOI:10.1007/s13239-021-00547-6