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Inner-Loop-Free Admm For Cryo-Em

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)(2019)

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摘要
Thanks to recent advances in signal processing, the interest for fast ℓ 1 -regularized reconstruction algorithms in cryo-electron microscopy (cryo-EM) has intensified. The approaches based on the alternating-direction of multipliers method (ADMM) are particularly well-suited due to the prime convergence speed and flexibility of use of this algorithm. Yet, the standard ADMM scheme still relies on a nested conjugate gradient (CG) to solve the linear step in its alternating-minimization procedure, which can be costly when handling large-scale problems. In this work, we present an inner-loop-free ADMM algorithm for 3D reconstruction in cryo-EM. By using an appropriate splitting scheme, we are able to avoid the use of CG for solving the linear step. This leads to a substantial increase in algorithmic speed, as demonstrated by our experiments.
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关键词
cryo-EM reconstruction,inverse problem,regularization,alternating-direction of multipliers method (ADMM),splitting,inner-loop-free,convergence speed
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