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Segmenting the left ventricle in 3D using a coupled ASM and a learned non-rigid spatial model

O'Brien, Stephen, Ghita, Ovidiu and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (2009) Segmenting the left ventricle in 3D using a coupled ASM and a learned non-rigid spatial model. In: 3D segmentation in the clinic: a grand challenge III [workshop], MICCAI 2009, the 12th international conference on medical image computing and computer assisted intervention, 20-24 Sept 2009, London U.K..

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Abstract

This paper presents a new approach to higher dimensional segmentation. We present an extended Active Shape Model (ASM) formulation for the segmentation of multi-contour anatomical structures. We employ coupling and weighting schemes to improve the robustness of ASM segmentation. 3D segmentation is achieved through propagation of a 2D ASM using a learned non-rigid spatial model. This approach does not suffer from the training and aligning difficulties faced by direct 3D model-based methods used today. Experimental results are encouraging at this early stage, and future directions of research are provided.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:computer vision; image analysis; segmentation; coupled ASM; adaptive weighting; active shape model; left-ventricle; non-rigid model
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:18626
Deposited On:14 Aug 2013 10:24 by Mark Sweeney . Last Modified 14 Mar 2023 13:57

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