AIR Tools - A MATLAB package of algebraic iterative reconstruction methods

By Per Christian Hansen, Maria Saxild-Hansen. Journal of Computational and Applied Mathematics, 2012

333 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Geophysics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/645bda11fa79b2918c15dabe58d1f316612d1087

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. Matthew S. Rosen
2. Bruce R. Rosen
3. Lijun Xu
4. Bo Zhu
5. Chang Liu
6. Jeremiah Zhe Liu

In Geophysics

1. Matthew S. Rosen
2. Bruce R. Rosen
3. Lijun Xu
4. Bo Zhu
5. Chang Liu
6. Jeremiah Zhe Liu
7. Arvid Lundervold

In Radiology, Nuclear Medicine and Imaging

1. Matthew S. Rosen
2. Bruce R. Rosen
3. Lijun Xu
4. Bo Zhu
5. Chang Liu
6. Jeremiah Zhe Liu
7. Arvid Lundervold

Citations in the corpus

• Laser absorption spectroscopy for combustion diagnosis in reactive flows: A review (2019, methodology): “As the simplest form of the iterative reconstruction algorithms, ART based on Kaczmarz’ method is solved by (143)”
• Image reconstruction by domain-transform manifold learning (2017, methodology): “…with conventional reconstruction techniques for each acquisition strategy: For Radon projection imaging, the Alge-braic Reconstruction Technique 15,38 with the Kaczmarz method (10 iterations) was used, implemented with MATLAB code available at http://www.imm.dtu.dk/~pcha/ AIRtools/;…”