Anatomical landmark and region mapping based on a template surface deformation for foot bone morphology Jaeil Kim 1 , Sang Gyo Seo 2 , Dong Yeon Lee 2 , Jinah Park 1 1 Department of Computer Science, KAIST, South Korea 2 Orthopedic Surgery, Seoul National University Hospital, South Korea
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Anatomical landmark and region mapping
based on a template surface deformation
for foot bone morphology
Jaeil Kim1, Sang Gyo Seo2, Dong Yeon Lee2, Jinah Park1
1 Department of Computer Science, KAIST, South Korea
2 Orthopedic Surgery, Seoul National University Hospital, South Korea
< Anatomical landmark and region mapping
based on a template surface deformation
for foot bone morphology >
< Jaeil Kim >
My disclosure is in the
Final AOFAS Mobile App.
I have no potential conflicts with
this presentation.
Introduction
• Anatomical point and region landmarks provide a basis to
quantify the morphological changes of bones and the joint
orientation/motion based on anatomical knowledge [1-2]
• However, determining the
landmarks on the bone
surfaces is a difficult and
time-consuming task, due
to the large variations of
size and shape, and the lack
of the salient features of the
landmarks
8/13/2014 3
How to define the sub-regions of bone surfaces consistently?
[ Volume Rendering (left) and bone surface meshes (right) ]
AOFAS 2014 Annual Meeting
Contributions
• We propose a template-based landmark mapping method for the
consistent and automated landmark assignment on individuals’ bone
surfaces.
• Template model in our approach
– Encoding the generic shape features of the structure as a surface mesh
– Including the anatomical landmarks as subsets of the points of the surface
mesh
• Proposed template-based landmark mapping
– Building a pairwise correspondence between the template and the target
volume
– Achieved by a non-rigid surface-to-volume registration technique
– To place the anatomical landmarks and compare them via transitive relation
between subjects 8/13/2014 4 AOFAS 2014 Annual Meeting
Outline
8/13/2014 5
Segmentation
1. Template Model
with Landmarks
1.5 (mm) 0.0 Point Displacement
2. Non-rigid Template-to-Volume Registration
with Shape Correspondence
3. Individualized Model
and Landmarks
AOFAS 2014 Annual Meeting
• Template surface model
– Generated from an image atlas of target structures
– Image atlas = mean shape image of the input binary masks