Retour à la page précédente
Wednesday 02 October 2019 12:00 - 13:30

Health Tech Lunch - 02.10.2019, 12h00 - Sierre, Techno-Pôle (Room Maïa)

Presentation by Meritxell Bach Cuadra, Maître d'Enseignement et Recherche (M.E.R), UNIL/CHUV

Title : Magnetic Resonance Image Analysis: applications to in-vivo fetal brain imaging and multiple sclerosis


In this talk I will first present an overview of the research environment and activities of the Medical Image Analysis Laboratory (CIBM, UNIL/CHUV). Afterwards, I will present the fetal brain MRI methods we are currently developing. Specifically, I will talk about super-resolution reconstruction techniques and their translation to clinical environment and future research oriented to quantitative MRI methods. Finally, I will present our work related to the detection and segmentation of cortical lesions in Multiple Sclerosis based on deep learning algorithms.


Meritxell Bach Cuadra is head of the CHUV-UNIL Signal Processing Section of the CIBM and of the Medical Image Analysis Laboratory (MIAL) at the Radiology Department of the Lausanne University Hospital (CHUV). She has a MSc in Electrical Engineering from the Universitat Politècnica de Catalunya (UPC) and a PhD degree from the Ecole Polytechnique Fédérale de Lausanne (EPFL). She joined the Center for BioMedical Imaging (CIBM) in 2006, and since March 2011 & March 2018 she is Senior Lecturer & Privat Docent at the School of Biology and Medicine of the University of Lausanne where she teaches and develop her research activities. MAIL is currently a group of ~8 engineers with the aim at develop novel image processing methods to allow a more effective use of emerging medical images, balanced between fundamental research aspects of image processing and application-oriented projects. Our research is applied in several clinical domains like neurosciences (fetal brain development, lesion segmentation and degenerative brain diseases) and in computer aided diagnostic and therapy in neurosurgery, oncology and radiology. We aim to facilitate true clinical adoption of the developed methods and tools by strongly engaging interdisciplinary joint effort of engineers and clinicians. We can do that thanks to a unique research environment, with access to several state-of-the-art clinical MRI scanners, and we have active collaborations with the CHUV departments of  Radiology, Neurology, Neuro-surgery, Oncology, Psychiatry and Cardiology as well as with the EPFL and industry.

Research interests: computational (neuro)anatomy, medical image analysis, magnetic resonance imaging, machine learning, image reconstruction, segmentation, fetal imaging, multiple sclerosis, human thalamus, ocular tumors.

Registration :