Sparse algebraic reconstruction for fluorescence mediated tomography
In this paper, we explore the use of anatomical information as a guide in the image formation process of fluorescence molecular tomography (FMT). Namely, anatomical knowledge obtained from high resolution computed tomography (micro-CT) is used to construct a model for the diffusion of light and to c...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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The International Society for Optical Engineering
2010
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| Online Access: | http://hdl.handle.net/1721.1/52728 |
| _version_ | 1826213197079642112 |
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| author | Ortiz-de-Solorzano, Carlos Pengo, Thomas S. Muñoz-Barrutia, Arrate Pardo, Carlos |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Ortiz-de-Solorzano, Carlos Pengo, Thomas S. Muñoz-Barrutia, Arrate Pardo, Carlos |
| author_sort | Ortiz-de-Solorzano, Carlos |
| collection | MIT |
| description | In this paper, we explore the use of anatomical information as a guide in the image formation process of fluorescence molecular tomography (FMT). Namely, anatomical knowledge obtained from high resolution computed tomography (micro-CT) is used to construct a model for the diffusion of light and to constrain the reconstruction to areas candidate to contain fluorescent volumes. Moreover, a sparse regularization term is added to the state-of-the-art least square solution to contribute to the sparsity of the localization. We present results showing the increase in accuracy of the combined system over conventional FMT, for a simulated experiment of lung cancer detection in mice. |
| first_indexed | 2024-09-23T15:44:51Z |
| format | Article |
| id | mit-1721.1/52728 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:44:51Z |
| publishDate | 2010 |
| publisher | The International Society for Optical Engineering |
| record_format | dspace |
| spelling | mit-1721.1/527282022-09-29T15:54:30Z Sparse algebraic reconstruction for fluorescence mediated tomography Ortiz-de-Solorzano, Carlos Pengo, Thomas S. Muñoz-Barrutia, Arrate Pardo, Carlos Harvard University--MIT Division of Health Sciences and Technology Pardo, Carlos Pardo, Carlos In this paper, we explore the use of anatomical information as a guide in the image formation process of fluorescence molecular tomography (FMT). Namely, anatomical knowledge obtained from high resolution computed tomography (micro-CT) is used to construct a model for the diffusion of light and to constrain the reconstruction to areas candidate to contain fluorescent volumes. Moreover, a sparse regularization term is added to the state-of-the-art least square solution to contribute to the sparsity of the localization. We present results showing the increase in accuracy of the combined system over conventional FMT, for a simulated experiment of lung cancer detection in mice. Spanish Ministry of Health (project FIS-PI070751) 2010-03-18T19:46:53Z 2010-03-18T19:46:53Z 2009-09 Article http://purl.org/eprint/type/JournalArticle 0277-786X http://hdl.handle.net/1721.1/52728 Munoz-Barrutia, Arrate et al. “Sparse algebraic reconstruction for fluorescence mediated tomography.” Wavelets XIII. Ed. Vivek K. Goyal, Manos Papadakis, & Dimitri Van De Ville. San Diego, CA, USA: SPIE, 2009. 744604-10. © 2009 SPIE--The International Society for Optical Engineering en_US http://dx.doi.org/10.1117/12.824456 Proceedings of SPIE--the International Society for Optical Engineering; v.7446 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf The International Society for Optical Engineering SPIE |
| spellingShingle | Ortiz-de-Solorzano, Carlos Pengo, Thomas S. Muñoz-Barrutia, Arrate Pardo, Carlos Sparse algebraic reconstruction for fluorescence mediated tomography |
| title | Sparse algebraic reconstruction for fluorescence mediated tomography |
| title_full | Sparse algebraic reconstruction for fluorescence mediated tomography |
| title_fullStr | Sparse algebraic reconstruction for fluorescence mediated tomography |
| title_full_unstemmed | Sparse algebraic reconstruction for fluorescence mediated tomography |
| title_short | Sparse algebraic reconstruction for fluorescence mediated tomography |
| title_sort | sparse algebraic reconstruction for fluorescence mediated tomography |
| url | http://hdl.handle.net/1721.1/52728 |
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