Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography
Fluorescence molecular tomography (FMT) is a promising technique for in vivo small animal imaging. In this paper, a two-stage reconstruction method based on normalized Born approximation is developed for FMT, which includes two steps for quantitative reconstruction. First, the localization of fluore...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/838967 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850171360329859072 |
|---|---|
| author | Huangjian Yi Duofang Chen Wei Li Shuang Zhou Miao Ning Shouping Zhu Jie Tian Jimin Liang |
| author_facet | Huangjian Yi Duofang Chen Wei Li Shuang Zhou Miao Ning Shouping Zhu Jie Tian Jimin Liang |
| author_sort | Huangjian Yi |
| collection | DOAJ |
| description | Fluorescence molecular tomography (FMT) is a promising technique for in vivo small animal imaging. In this paper, a two-stage reconstruction method based on normalized Born approximation is developed for FMT, which includes two steps for quantitative reconstruction. First, the localization of fluorescent fluorophore is determined by l1-norm regularization method. Then, in the location region of fluorophore, which is provided by the first stage, algebraic reconstruction technique (ART) is utilized for the fluorophore concentration reconstruction. The validity of the two-stage quantitative reconstruction algorithm is testified by simulation experiments on a 3D digital mouse atlas and physical experiments on a phantom. The results suggest that we are able to recover the fluorophore location and concentration. |
| format | Article |
| id | doaj-art-9d0eca85afc6452eaea125d2d9b457ee |
| institution | OA Journals |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-9d0eca85afc6452eaea125d2d9b457ee2025-08-20T02:20:18ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552012-01-01201210.1155/2012/838967838967Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular TomographyHuangjian Yi0Duofang Chen1Wei Li2Shuang Zhou3Miao Ning4Shouping Zhu5Jie Tian6Jimin Liang7School of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaSchool of Life Sciences and Technology, Xidian University, Shaanxi, Xi’an 710071, ChinaFluorescence molecular tomography (FMT) is a promising technique for in vivo small animal imaging. In this paper, a two-stage reconstruction method based on normalized Born approximation is developed for FMT, which includes two steps for quantitative reconstruction. First, the localization of fluorescent fluorophore is determined by l1-norm regularization method. Then, in the location region of fluorophore, which is provided by the first stage, algebraic reconstruction technique (ART) is utilized for the fluorophore concentration reconstruction. The validity of the two-stage quantitative reconstruction algorithm is testified by simulation experiments on a 3D digital mouse atlas and physical experiments on a phantom. The results suggest that we are able to recover the fluorophore location and concentration.http://dx.doi.org/10.1155/2012/838967 |
| spellingShingle | Huangjian Yi Duofang Chen Wei Li Shuang Zhou Miao Ning Shouping Zhu Jie Tian Jimin Liang Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography Journal of Electrical and Computer Engineering |
| title | Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography |
| title_full | Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography |
| title_fullStr | Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography |
| title_full_unstemmed | Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography |
| title_short | Normalized Born Approximation-Based Two-Stage Reconstruction Algorithm for Quantitative Fluorescence Molecular Tomography |
| title_sort | normalized born approximation based two stage reconstruction algorithm for quantitative fluorescence molecular tomography |
| url | http://dx.doi.org/10.1155/2012/838967 |
| work_keys_str_mv | AT huangjianyi normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT duofangchen normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT weili normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT shuangzhou normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT miaoning normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT shoupingzhu normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT jietian normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography AT jiminliang normalizedbornapproximationbasedtwostagereconstructionalgorithmforquantitativefluorescencemoleculartomography |