Biomedical imaging group. PI: Roser Sala Llonch

Roser Sala-Llonch
Associate professor, Universitat de Barcelona
Mail: roser.sala@ub.edu
Web: https://webgrec.ub.edu/webpages/personal
/cat/009168_roser.sala.ub.edu.html

Dídac Macià Bros
Associate professor, Universitat de Barcelona
Mail: didac.macia@ub.edu

Aida Niñerola Baizan
Hospital Clínic researcher and
Adjunct professor, Universitat de Barcelona
Mail: aninerola@ub.edu

Raúl Tudela Fernandez
CIBER-BBN researcher and
Adjunct professor, Universitat de Barcelona
Mail: raul.tudela@ub.edu

Adrià Casamitjana
Collaborating Professor
Dept. matemàtiques i informàtica, Universitat de Barcelona
Mail: a.casamitjana@ub.edu

José M. Contador Muñana
PhD researcher
Universitat de Barcelona / Hospital Clínic de Barcelona
Mail: contador@clinic.cat

Agnès Pérez Millàn
PhD researcher
Universitat de Barcelona / Hospital Clínic de Barcelona
Mail: agperez@clinic.cat

•      Multimodal analysis of brain images:

Our research is focused on the use and development of advanced techniques for the analysis and interpretation of brain medical images of different modalities, including single photon emission tomography (SPECT), positron emission tomography. PET) and magnetic resonance imaging (MRI). We use clinical data as well as simulated data to understand the relationship between the measurements derived from the images and the underlying pathophysiological mechanisms. We apply innovative techniques from the fields of physics and engineering to neuroimaging to help understanding the function and structure of the human brain in healthy individuals and in patients with neurodegenerative diseases, such as Alzheimer's disease or Parkinson’s disease.

• Statistical methods for the diagnosis and prognosis of neurodegenerative diseases:

We perform analyzes using our own clinical data, data from multicentic studies and simulations to design statistical models that allow us to study the trajectories of different measures – mainly derived from brain images- along the course of neurodegenerative diseases. We use methods based on classical statistics as well as new approaches that explore Bayesian techniques and Machine Learning methods. These studies allow us to advance in the identification of biomarkers for neurodegenerative diseases such as Alzheimer's, Parkinson's or other dementias.

• Nuclear Imaging Simulation Methods:

We use computational methods, based on the Monte Carlo simulation techniques to obtain synthetic images that simulate the behavior of acquisition systems for PET and SPECT. The simulation allows us to characterize the different cameras, as well as to study the effect of the variability in the physical characteristics of the scanners and the acquisition parameters on the resulting images. In the context of statistical studies of large volumes of data, the simulation also offers an opportunity to develop and test methods before applying them to real data.

Co-regionality of brain changes in Alzheimer’s Disease using neuroimage multimodal Bayesian approaches for individual predictions.

Principal Investigator: Roser Sala Llonch
Ministerio de Economia y Competitividad. I+D+i Retos Investigation Program
Ref: PID2020-118386RA-I00
Amount: 32.670 €
2021-2024

• Roser Sala Llonch

Researcher ID: E-7882-2012
ORCID ID: orcid.org/0000-0003-3576-0475
PubMed: https://pubmed.ncbi.nlm.nih.gov/?term=Sala-Llonch%20R%5BAuthor%5D&cauthor=true&cauthor_uid=28655157

• Aida Niñerola Baizan

PubMed: https://pubmed.ncbi.nlm.nih.gov/?term=Ni%C3%B1erola-Baizan+%5BAuthor%5D&sort=date

• Raul Tudela Fernandez:

Researcher ID: https://publons.com/researcher/2085046/raul-tudela/
ORCID ID: https://orcid.org/0000-0001-5134-4784
PubMed: https://pubmed.ncbi.nlm.nih.gov/?term=Ra%C3%BAl+Tudela+%5BAuthor%5D&sort=date

• Offers from the University of Barcelona:

Work UB

• Offers from the Research Group:

At the moment, there are no job offers from this Research Group