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eess.IV2024
Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views
Zongyu Li, Yixuan Jia, Xiaojian Xu +3
Purpose: This study addresses the challenge of extended SPECT imaging duration under low-count conditions, as encountered in Lu-177 SPECT imaging, by developing a self-supervised l…
eess.IV2019★ 1 cited
Improved low-count quantitative PET reconstruction with an iterative neural network
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja +1
Image reconstruction in low-count PET is particularly challenging because gammas from natural radioactivity in Lu-based crystals cause high random fractions that lower the measurem…