Metal implants corrupt MRI measurements throughout $k$-space, yet existing accelerated MRI methods assume clean data and most metal artifact reduction approaches assume fully sampled acquisitions. No public dataset provides paired $k$-space and images with and without metal for the same anatomy, and no framework jointl...
Zheng-Yi Lu, Ming Lu, Chong-Yu Qu et al.· 0 citations
The proposed framework can substantially reduce exhaustive protocol testing while enabling task-based, dose-aware protocol selection before the diagnostic scan and shows that the proposed framework can substantially reduce exhaustive protocol testing while enabling task-based, dose-aware protocol selection before the d...
J. Zou, David Fenwick, Vahid Tarokh et al.· 0 citations
This chapter presents a unified computational perspective on medical image acquisition and reconstruction across CT, MRI, PET, and SPECT, and examines efficient computing considerations, including optimization algorithms, physics-aware forward operators, memory-efficient implementations, and parallel computing strategi...
Xiao Wang, Jayasai R. Rajagopal, Md Safaiat Hossain et al.· 0 citations
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