A new paper in MICCAI 2013 – Workshop on Computational Methods and Clinical Applications for Spine Imaging

Dr Poay Hoon, I, and Prof. Bai Li published a new paper in MICCAI 2013 Workshop on Computational Methods and Clinical Applications for Spine Imaging, which will be held in Nagoya, Japan (September 2013).

The work presented in this paper was a part of phd thesis of Dr Poay Hoon who were directly supervised by my and Prof. Bai Li.

Title of the talk is the following:

A Robust Segmentation Framework for Spine Trauma Diagnosis,

by

Poay Hoon Lim,  Ulas Bagci,  and Li Bai

The talk will be presented by Prof. Bai Li.

In the talk,

In this paper, we describe a level set image segmentation framework that integrates
prior shape knowledge and local geometrical features to segment both
normal and fractured spinal vertebrae. The prior shape knowledge is
computed via kernel density estimation whereas the local geometrical
features is captured through an edge-mounted Willmore energy. While
the shape prior energy draws the level set function towards possible shape
boundaries, the Willmore energy helps to capture the detail shape and
curvature information of the vertebrae. Experiment on CT images of
normal and fractured spinal vertebrae demonstrate promising results in
3D segmentation.

 

[Author’s Copy – PDF]

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