M
Marco Palombo
Researcher at University College London
Publications - 95
Citations - 1800
Marco Palombo is an academic researcher from University College London. The author has contributed to research in topics: Diffusion MRI & Medicine. The author has an hindex of 20, co-authored 76 publications receiving 1074 citations. Previous affiliations of Marco Palombo include Centre national de la recherche scientifique & ENEA.
Papers
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Journal ArticleDOI
Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI
Derek K. Jones,Derek K. Jones,Daniel C. Alexander,Daniel C. Alexander,Richard Bowtell,Mara Cercignani,Flavio Dell'Acqua,Damien J. McHugh,Damien J. McHugh,Karla L. Miller,Marco Palombo,Geoffrey J. M. Parker,Geoffrey J. M. Parker,S. Umesh Rudrapatna,Chantal M. W. Tax +14 more
TL;DR: Ten advantages of ultra‐strong gradients for microstructural imaging are described, and how the increase of the accessible measurement space compared to a lower‐gradient systems can accelerate developments in the areas of axon diameter distribution mapping, tumour characterisation, and quality enhancement of images acquired on lower‐ gradient systems.
Journal ArticleDOI
SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI.
Marco Palombo,Andrada Ianus,Michele Guerreri,Daniel Nunes,Daniel C. Alexander,Noam Shemesh,Hui Zhang +6 more
TL;DR: In this paper, a compartment-based model for apparent cell body (namely soma) and neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI) was introduced.
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Non-Gaussian diffusion imaging: a brief practical review.
Silvia De Santis,Silvia De Santis,Andrea Gabrielli,Marco Palombo,Bruno Maraviglia,Silvia Capuani +5 more
TL;DR: In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging.
Journal ArticleDOI
New paradigm to assess brain cell morphology by diffusion-weighted MR spectroscopy in vivo
Marco Palombo,Clémence Ligneul,Chloé Najac,Juliette Le Douce,Julien Flament,Carole Escartin,Philippe Hantraye,Emmanuel Brouillet,Gilles Bonvento,Julien Valette +9 more
TL;DR: It is suggested that the time dependence of metabolite diffusion coefficient allows distinguishing and quantitatively characterizing brain cell morphologies noninvasively.
Journal ArticleDOI
Challenges for biophysical modeling of microstructure.
TL;DR: This review dwells on the various challenges along the journey of bringing a biophysical model from initial design to clinical implementation, identifying both hurdles that have been already overcome and outstanding issues.