Ultrasensitive Doppler based neuronavigation system for preclinical brain imaging applications

Autor: Emmanuel Cohen, Laurent D. Cohen, Charlie Demene, Elodie Tiran, Mickael Tanter, Thomas Deffieux
Přispěvatelé: CEntre de REcherches en MAthématiques de la DEcision (CEREMADE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL), Institut Langevin - Ondes et Images (UMR7587) (IL), Sorbonne Université (SU)-Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Paris (UP)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: IUS 2016
IUS 2016, Sep 2016, Tours, France
IEEE
Popis: Ultrasensitive Doppler is a recent medical imaging technique enabling high sensitive acquisition of blood flows which can detect small vascular features without contrast agents. Applied to cerebral imaging of rodents, this method produces very fine vascular maps of the brain at high spatial resolution and leads to functional imaging of brain neuronal activity. These vascular networks contain crucial information about organs structure, and could be used as landmarks to 3D navigate the brain and register external atlas to the data. This study investigates a first step using a 2D correlation-based method to locate in real time young rat, rat, or mouse brain vascular prints in a 3D functional brain atlas.
Databáze: OpenAIRE