Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms

By Sangtae Ahn, Jeffrey A. Fessler. IEEE Transactions on Medical Imaging, 2003

330 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/4a0dc0a7cc5e50be977fd2f2feb73839564d10df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Rebecca M. Willett
2. Roummel F. Marcia
3. Zachary T. Harmany
4. Jinyi Qi
5. Richard M. Leahy
6. David J. Brady

In Radiology, Nuclear Medicine and Imaging

1. Rebecca M. Willett
2. Roummel F. Marcia
3. Zachary T. Harmany
4. Jinyi Qi
5. Richard M. Leahy
6. Jeffrey A. Fessler

Citations in the corpus

• This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms—Theory and Practice (2010, methodology): “Some recent headway has been made using multiscale or smoothness-based penalties [26], [31], [32].”
• Iterative reconstruction techniques in emission computed tomography (2006, background): “A general form for the relaxed OS algorithm can be written as (Ahn and Fessler 2003) f (k,q) j = f (k,q−1)j + ηkf (k,q−1)j ∇ q(f (k,q−1)), for j = 1, . . . , N, q = 1, . . . , Ns (54) where q(f) is the objective function for the qth subset and ηk satisfies (53).”