A matrix-free algorithm for multiple wavelength fluorescence tomography
(2009) In Optics Express 17(5). p.3025-3035- Abstract
- In the recent years, there has been an increase in applications of non-contact diffusion optical tomography. Especially when the objective is the recovery of fluorescence targets. The non-contact acquisition systems with the use of a CCD-camera produce much denser sampled boundary data sets than fibre-based systems. When model-based reconstruction methods are used, that rely on the inversion of a derivative operator, the large number of measurements poses a challenge since the explicit formulation and storage of the Jacobian matrix could be in general not feasible. This problem is aggravated further in applications, where measurements at multiple wavelengths are used. We present a matrix-free model-based reconstruction method, that... (More)
- In the recent years, there has been an increase in applications of non-contact diffusion optical tomography. Especially when the objective is the recovery of fluorescence targets. The non-contact acquisition systems with the use of a CCD-camera produce much denser sampled boundary data sets than fibre-based systems. When model-based reconstruction methods are used, that rely on the inversion of a derivative operator, the large number of measurements poses a challenge since the explicit formulation and storage of the Jacobian matrix could be in general not feasible. This problem is aggravated further in applications, where measurements at multiple wavelengths are used. We present a matrix-free model-based reconstruction method, that addresses the problems of large data sets and reduces the computational cost and memory requirements for the reconstruction. The idea behind the matrix-free method is that information about the Jacobian matrix could be available through matrix times vector products so that the creation and storage of big matrices can be avoided. We tested the method for multiple wavelength fluorescence tomography with simulated and experimental data from phantom experiments, and we found substantial benefits in computational times and memory requirements. (C) 2009 Optical Society of America (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1404618
- author
- Zacharopoulos, Athanasios D. ; Svenmarker, Pontus LU ; Axelsson, Johan LU ; Schweiger, Martin ; Arridge, Simon R. and Andersson-Engels, Stefan LU
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Optics Express
- volume
- 17
- issue
- 5
- pages
- 3025 - 3035
- publisher
- Optical Society of America
- external identifiers
-
- wos:000264090900004
- scopus:61549112827
- ISSN
- 1094-4087
- DOI
- 10.1364/OE.17.003042
- language
- English
- LU publication?
- yes
- id
- 6b379f0d-bfab-4ecf-a037-19cd4862b1f8 (old id 1404618)
- date added to LUP
- 2016-04-01 15:00:52
- date last changed
- 2022-01-28 03:37:37
@article{6b379f0d-bfab-4ecf-a037-19cd4862b1f8,
abstract = {{In the recent years, there has been an increase in applications of non-contact diffusion optical tomography. Especially when the objective is the recovery of fluorescence targets. The non-contact acquisition systems with the use of a CCD-camera produce much denser sampled boundary data sets than fibre-based systems. When model-based reconstruction methods are used, that rely on the inversion of a derivative operator, the large number of measurements poses a challenge since the explicit formulation and storage of the Jacobian matrix could be in general not feasible. This problem is aggravated further in applications, where measurements at multiple wavelengths are used. We present a matrix-free model-based reconstruction method, that addresses the problems of large data sets and reduces the computational cost and memory requirements for the reconstruction. The idea behind the matrix-free method is that information about the Jacobian matrix could be available through matrix times vector products so that the creation and storage of big matrices can be avoided. We tested the method for multiple wavelength fluorescence tomography with simulated and experimental data from phantom experiments, and we found substantial benefits in computational times and memory requirements. (C) 2009 Optical Society of America}},
author = {{Zacharopoulos, Athanasios D. and Svenmarker, Pontus and Axelsson, Johan and Schweiger, Martin and Arridge, Simon R. and Andersson-Engels, Stefan}},
issn = {{1094-4087}},
language = {{eng}},
number = {{5}},
pages = {{3025--3035}},
publisher = {{Optical Society of America}},
series = {{Optics Express}},
title = {{A matrix-free algorithm for multiple wavelength fluorescence tomography}},
url = {{https://lup.lub.lu.se/search/files/4297621/1511231.pdf}},
doi = {{10.1364/OE.17.003042}},
volume = {{17}},
year = {{2009}},
}