Projets
Projets FNS
FNS FETAL MRI - 205321-141283/1
2013 - 2016 (36 mois)
Requérant : Meritxell Bach Cuadra
Autres collaborateurs : Yves Wiaux, Reto Meuli
Today, medical imaging for human brain studies, neuroimaging, is mostly dedicated to children and adults. Recent advances in clinical imaging of the fetus provide an unprecedented opportunity to image the process of human brain growth in utero.
Despite new fast Magnetic Resonance Imaging (MRI) techniques allow high contrast imaging of fetal brain tissues, clinical acquisitions still have many critical limitations that restrain the use of computer-based methods for large-scale analysis. Consequently, the research project presented here is oriented to develop solid mathematical framework for the fetal MRI reconstruction as well as for robust and accurate segmentation methods of fetuses at second and third trimester of pregnancy.
The automated quantitative analysis of structural fetal MRI in this project will help addressing the fundamental neuroscience question of early brain development. Moreover, in a clinical perspective, our quantitative studies of fetal MRI will help to better characterize the timing and the nature of prenatal pathologies, like for instance ventriculomegaly or intra-uterine growth restriction.
Autres projets
CTI
2012 - 2014 (18 mois)
Organisme subventionnaire : Commission pour la technologie et l'innovation (CTI), Confédération Suisse (Suisse)
Requérant : Meritxell Bach Cuadra
Autres collaborateurs : François Tranquart (Bracco Suisse), Jean-Phillipe Thiran (EPFL), Jean-Yves Mewvly (CHUV)
Swiss Cancer League
2013 - 2016 (36 mois)
Organisme subventionnaire : League Suisse Contre le Cancer (Suisse)
Requérant : Meritxell Bach Cuadra
Autres collaborateurs : Jens Kowal, Francis Munier, Alessia Pica
The eye is one of the most important sensory organs. Undesirable
side effects or failure of radiotherapy treatments
of ocular tumours could be fatal for the vision of the patient
and consequently lead to life-threatening situations.
Treatment planning for the eye needs to be very precise to
accurately target the tumour while preserving surrounding
healthy tissues (to prevent the development of secondary
tumours). Nowadays, treatment planning is done
based on different medical imaging methods such as computed
tomography, fundus photography, ultrasound, or
magnetic resonance imaging. However, these images are
observed independently of each other and are combined
mentally by the radiation oncologists to obtain an overall
vision of the tumour and its location.
In this project, advanced image processing algorithms will
help to produce a comprehensive and objective picture of
the tumour and its surrounding healthy tissues. We will
develop a virtual eye model that will be adapted to the
different imaging modalities and thus to the patient anatomy.
This patient-specific eye model will allow all existing
image modalities to be efficiently fused, will help to plan
the therapy in a reproducible manner, and will allow
calculation of the exact position of the eye relative to the
treatment unit.
