Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction
Dartmouth College · University of Exeter
Abstract
Diffuse optical tomography, also known as near infrared tomography, has been under investigation, for non-invasive functional imaging of tissue, specifically for the detection and characterization of breast cancer or other soft tissue lesions. Much work has been carried out for accurate modeling and image reconstruction from clinical data. NIRFAST, a modeling and image reconstruction package has been developed, which is capable of single wavelength and multi-wavelength optical or functional imaging from measured data. The theory behind the modeling techniques as well as the image reconstruction algorithms is presented here, and 2D and 3D examples are presented to demonstrate its capabilities. The results show…
Citation impact
- FWCI
- 17.56
- Percentile
- 100%
- References
- 68
Authors
8Topics & keywords
- Diffuse optical imaging
- Iterative reconstruction
- Optical tomography
- Tomography
- Computer science
- Context (archaeology)
- Tomographic reconstruction
- Mie scattering
- Good health and well-being