STSM Awardees

Dr Ruben Nechifor

Ruben will implement a new analysis approach for Dynamic Susceptibility Contrast MRI (DSC) in Quantiphyse, a free cross-platform analysis tool, for brain tumors, specifically addressing the corrections for leakage effects. Doing this, he will establish a DSC toolbox, optimized for brain tumor imaging, which can be used within the COST Action.
Affiliation: International Institute for Advanced Studies of Psychotherapy and Applied Mental Health (Cluj-Napoca) 
Host: Institute of Biomedical Engineering, University of Oxford

Ms Fatemehsadat Arzanforoosh

DSC MRI measurement of relative cerebral blood volume is the most commonly used approach for brain tumor perfusion imaging for predicting glioma grade, overall survival rate, and response to treatment. Fatemehsadat will improve the freely available analysis tool, Quantiphyse, to estimate tumor hemodynamic measurements in patient suffering from glioma.

Affiliation: Erasmus Medical Center (Rotterdam)
Host: Institute of Biomedical Engineering, University of Oxford

Ms Beatrice Cerqueti

During her STSM, Beatrice will learn and work on the segmentation of Diffuse Intrinsic Pontine Glioma, a pediatric tumor of the pons, on a dataset of MRI-images. This segmentation is a first step in defining normative tumor volume values, which is important for treatment administration.

Affiliation: University of Pavia (Pavia)
Host: University Medical Center (Amsterdam)

Ms Ayesha Mirchandani

Chemical Exchange Saturation Transfer MRI (CEST) is a new and promising biomarker for glioma prognosis and treatment. For a project in which CEST MRI will be compared with stereotactic biopsies, Ayesha will advance the translation from the CEST workflow, developed in the host institution, to her own institution and learn more about this technique.

Affiliation: King’s College London (London)
Host: Erasmus Medical Center (Rotterdam)

Dr Burcu Alparslan

Burcu will investigate if neuroimaging, performed at each component of the patient pathway after initial glioblastoma treatment, actually results in a real change in treatment management. She will mainly focus on DSC- and DCE-MRI.

Affiliation: Kocaeli University (Kocaeli)
Host: King’s College London Hospital (London)

Mr Umberto Villani

The Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors (VERDICT) framework combines diffusion MRI data with physiological features inside tumors.  Umberto will focus on the development of a physiology-driven formulation of this VERDICT model, specifically in gliomas.

Affiliation: Università degli studi di Padova (Padova)
Host: Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital

Ms Gökçe Hale Hatay

During her STSM, Gökçe will acquire knowledge about diffusion-weighted MRS and CEST methodologies: data acquisition, preprocessing and analysis. She will share this knowledge with her own research group.

Affiliation: Bogazici University (Istanbul)
Host: Leiden University Medical Center

Ms Hande Halilibrahimoğlu

Hande will implement magnetic resonance spectroscopy, CEST, and diffusion-weighted MRS to create a machine-learning based multimodel MRS tool for glioma classification, thus enhancing diagnosis, grading and molecular subtyping of gliomas.

Affiliation: Bogazici University (Istanbul)
Host: Institut du Cerveau et de la Moëlle épinière (ICM) (Paris)

For further information regarding STSM’s, contact GliMR STSM coordinator, Yelda Ozsunar at glimr.cost.applications@gmail.com.