FETAL4D

This project aims at developing new preprocessing strategies for in-utero functional MRI with the focus on the following research lines:

(1) Development of new high resolution reconstruction and motion correction techniques

(2) Quality assessment of functional connectivity analysis techniques and preprocessing pipelines of fetal data

(3) Longitudinal analysis of developing functional connectivity in fetuses. 

Team: Daniel Sobotka, Georg Langs, Roxane Licandro

Project partners: King's College London, UK.

Objectives: Investigation and development of a high resolution reconstruction and motion correction technique for resting state functional MRI acquisitons of fetuses.

 2019 06 24 10.36.46

 Recent Publications

Sobotka D., Licandro R., Ebner M., Schwartz E., Vercauteren T., Ourselin S., Kasprian G., Prayer D., Langs G., „Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI”, Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, LNCS volume 11798, Springer, Cham, ISBN: 978-3-030-32874-0, DOI: DOI:10.1007/978-3-030-32875-7, October 2019.