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..
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