Zhaoyuan Gong - Rapid MWF mapping by combining neural networks and under sampled mcDESPOT data

Quantitative Magnetic Resonance Imaging Conference: Applications in Neurodegeneration (October 26-28th 2022)

Myelin Water Imaging - Trainee talk 2

Zhaoyuan Gong - Rapid myelin water fraction mapping through the combination of neural network and under sampled mcDESPOT data

Biography: Post-doctoral researcher at the National Institute on Aging, USA.

Abstract: Myelin water fraction (MWF) map provides a direct assessment of myelin content. The widely utilized method is the multicomponent analysis of T2 relaxation times and MWF is determined by the fraction of the fastrelaxing component. However, using either conventional or advanced methods, such as the BMC-mcDESPOT, requires prolonged acquisition and computation times, hampering their integration in clinical investigations. In this work, we propose several artificial neural network models to derive MWF maps from either fully sampled or under sampled mcDESPOT data. This work opens the way to further practical and rapid MWF imaging developments.

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Organizing Committee

Dr. Mallar Chakravarty (@mallarchkrvrty1)
Dr. Christine Lucas Tardif (@tardiftweets)
Dr. Christopher Rowley (@rowleycd)
Aurélie Bussy (@AurelieBussy)
Olivier Parent (@oparent41)