Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart - Modeling in Computational Biology and Biomedicine - page 159

Chapter 5
Statistical Shape Analysis of Surfaces in Medical
Images Applied to the Tetralogy of Fallot Heart

Kristin McLeod, Tommaso Mansi, Maxime Sermesant,
Giacomo Pongiglione, and Xavier Pennec

5.1 Introduction

During the past 10 years, biophysical modeling of the human body has been a topic
of increasing interest in the field of biomedical image analysis. The aim of such
modeling is to formulate personalized medicine where a digital model of an organ
can be adjusted to a patient from clinical data. This virtual organ would enable to
estimate parameters which are difficult to quantify in clinical routine and to test
therapies in-silico as well as to predict the evolution of the organ over time and with
therapy.
While biophysical modeling has been successfully developed and validated at the
cell level, the integration at the organ level is still challenging because the interaction
between the physiology and the organ shape is complex. There is thus a strong need
to understand the organ shape characteristics and their evolution at the population
level, which is the topic of Computational Anatomy. By shape, we intend here, and
in the sequel of this paper, geometric data such as curves and surfaces (interfaces of
organs) that describe the anatomy. On top of this, Computational Physiology is aim-
ing at describing and modeling the function of these organs and how they interact
together. Anatomy can be observed in most medical image modalities, such as Com-
putational Tomography (CT) or Magnetic Resonance Imaging (MRI), while mea-
suring the physiology requires more specific imaging modalities that are often more

K. McLeod ( ) · X. Pennec · M. Sermesant
Inria Sophia Antipolis Mediterranee, Asclepios project-team, 2004 Route des
Lucioles, 06902 Sophia Antipolis, France
e-mail: [e-mail] ; [e-mail] ; [e-mail]
T. Mansi
Siemens Corporate Research, Image Analytics and Informatics, Princeton, NJ, USA
e-mail: [e-mail]
G. Pongiglione
Ospedale Pediatrico Bambine Gesu, Rome, Italy