Optical tomography: forward and inverse problems

By Simon Robert Arridge, John C. Schotland. 2009

662 citations recorded by the source corpus.

This is a review of recent mathematical and computational advances in optical tomography. We discuss the physical foundations of forward models for light propagation on microscopic, mesoscopic and macroscopic scales. We also consider direct and numerical approaches to the inverse problems that arise at each of these scales. Finally, we outline future directions and open problems in the field.

Subfields: Biomedical Engineering, Media Technology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5e6a8b8d1cc5bc9a66b282fa533848f7e175fff0

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. Arjun G. Yodh
2. Turgut Durduran
3. Carola-Bibiane Schönlieb
4. Ozan Öktem
5. Simon Robert Arridge
6. Peter Maass
7. Shuhao Cao

In Media Technology

1. Turgut Durduran
2. Arjun G. Yodh
3. Simon Robert Arridge
4. Carola-Bibiane Schönlieb
5. Peter Maass
6. Ozan Öktem

In Radiology, Nuclear Medicine and Imaging

1. Arjun G. Yodh
2. Turgut Durduran
3. Simon Robert Arridge
4. Carola-Bibiane Schönlieb
5. Peter Maass
6. Ozan Öktem

Citations in the corpus

• Solving inverse problems using data-driven models (2019, background): “Arridge and O. Scherzer (2012), ‘Imaging from coupled physics’, Inverse Problems 28, 080201.”
• Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement (2013, positive): “Although it has been used primarily in the “monitoring” mode, three-dimensional image construction analogous to diffuse optical tomography (DOT) (Arridge and Schotland, 2009; Dehghani et al., 2009) is possible with DCS.”