Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction

Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction

Object Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged reconstruction times or prohibitively burdensome hardware requirements. The aim of this project is to reduce reconstruction time using deep learning. Materials and methods Th...

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Xehetasun bibliografikoak
Egile Nagusiak: Schauman, S. S., Iyer, Siddharth S., Sandino, Christopher M., Yurt, Mahmut, Cao, Xiaozhi, Liao, Congyu, Ruengchaijatuporn, Natthanan, Chatnuntawech, Itthi, Tong, Elizabeth, Setsompop, Kawin
Beste egile batzuk: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Springer International Publishing 2025
Sarrera elektronikoa:https://hdl.handle.net/1721.1/158263

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