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Information Journal Paper

Title

A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures

Pages

  205-214

Abstract

 Background: Mechanical occlusion of the Left Atrial Appendage (LAA) using a purpose-built device has emerged as an effective prophylactic treatment in patients with Atrial Fibrillation at risk of stroke and a contraindication for anticoagulation. A crucial step in procedural planning is the choice of the device size. This is currently based on the manual analysis of the “ Device Landing Zone” from echocardiographic images. Objective: We aimed to develop an algorithm for automated segmentation of the LAA landing zone from 3D echocardiographic images of the LAA. Material and Methods: In this experimental study, 2D axial images were derived from the 3D echo datasets. After image pre-processing, binary images were created using a thresholding method. A binary image matrix was then formed and scanned using 8-adgacency approach resulting in segmentation of the objects with a closed circumference within the image. Erosion/dilation techniques were then applied to remove small objects. A feature-based approach was then used to firstly detect the LAA region and secondly to identify the device landing zone. Results: A total of 22 datasets were used in this study. The algorithm produced up to 9 axial images as the proposed landing zone. The selected axial images were compared to the echocardiographic images. In 18 cases (81. 8%), the algorithm successfully segmented the LAA and proposed the landing zone based on the defined features. Conclusion: We have developed a simple and fast algorithm for semi-automated segmentation of the LAA landing zone. Further studies are needed to assess the accuracy of the proposed landing zones by this method.

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    APA: Copy

    Pakizeh Moghadam, A., ESKANDARI, M., Monaghan, M.J., & HADDADNIA, J.. (2020). A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, 10(2), 205-214. SID. https://sid.ir/paper/334751/en

    Vancouver: Copy

    Pakizeh Moghadam A., ESKANDARI M., Monaghan M.J., HADDADNIA J.. A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING[Internet]. 2020;10(2):205-214. Available from: https://sid.ir/paper/334751/en

    IEEE: Copy

    A. Pakizeh Moghadam, M. ESKANDARI, M.J. Monaghan, and J. HADDADNIA, “A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures,” JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, vol. 10, no. 2, pp. 205–214, 2020, [Online]. Available: https://sid.ir/paper/334751/en

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