3 research outputs found
Novel approaches to statistical shape modelling of bone
The femur is the longest bone in the human body and serves the important
purposes of load-bearing and allowing bipedal locomotion.
Accurate modelling of the variation in shape within the healthy adult population
can be useful for a variety of applications: from the mere anatomical
description of its features, in order to better understand its function, to more
complex tasks such as pathology detection or surgical planning.
Statistical Shape Modelling (SSM) is a well-established technique that
enables to capture the variability within a set of training shapes and describes
it with a reduced set of variables.
The aim of this thesis is to evaluate the performance of a SSM based
on a point cloud representation of shape, and introduce and test subsequent
improvements to the modelling process that can increase its clinical relevance
and scope of application.
The standard approach to SSM employs a dimension-reducing technique,
generally by means of Principal Component Analysis (PCA). However, this
approach favours the compactness of the model, thus not focusing on other
aspects that may be more relevant to clinical practice.
Although rotation of the principal components is commonly performed as
a post-processing step in statistical analysis involving PCA, it is not routinely
applied in SSM.
By applying this class of rotation, the components' effects are more localised,
allowing a better interpretation, understanding and classification of pathological deformities.
Among other possible representations, the Medial Axis Transform (MAT)
could offer a further insight into shape modelling, since it allows the information
about thickness to be decoupled from the rest of the shape.
SSMs based on this representation can lead to a di erent perspective
on the understanding of femoral anatomy and function,and can also enable
the reconstruction of the complete anatomy starting from a reduced set of
features, with diverse applications in the elds of surgical planning, forensic
science and paleontology