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Proceedings Paper

The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method
Author(s): Lingxin Kong; Yu An; Yang Du; Jie Tian
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Paper Abstract

Fluorescence molecular tomography (FMT) is a promising multimodality-fused medical imaging technique, aiming at noninvasively and dynamically visualizing the interaction processes at the cellular and molecular level. However, due to the intricate correlation among columns in system matrix, the inverse problem of FMT faces high ill-posedness. In this work, we propose a novel regularized doubly orthogonal matching pursuit (RDOMP) method through synergistically integrating Gram-Schmidt (GS) orthogonalization with regularized orthogonal matching pursuit (ROMP) to decorrelate the elements in support set against remaining elements. Experiments based on the numerical mouse with double tumors and in vivo mouse were conducted to validate the enhancement of RDOMP with comparison to orthogonal matching pursuit (OMP), sparsity adaptive subspace pursuit (SASP), and ROMP contrast methods. The simulated experimental results demonstrated a better performance of RDOMP in terms of location accuracy, fluorescent yield reconstruction, relative sparsity, and morphological similarity, which highlighted the pruning capability of the introduced GS orthogonalization. And in vivo experimental results demonstrated the practical application of RDOMP on FMT reconstruction.

Paper Details

Date Published: 10 March 2020
PDF: 6 pages
Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 113131Q (10 March 2020); doi: 10.1117/12.2549247
Show Author Affiliations
Lingxin Kong, Institute of Automation (China)
The Univ. of Chinese Academy of Sciences (China)
Yu An, Institute of Automation (China)
The Univ. of Chinese Academy of Sciences (China)
Beihang Univ. (China)
Yang Du, Institute of Automation (China)
The Univ. of Chinese Academy of Sciences (China)
Jie Tian, Institute of Automation (China)
The Univ. of Chinese Academy of Sciences (China)
Beihang Univ. (China)


Published in SPIE Proceedings Vol. 11313:
Medical Imaging 2020: Image Processing
Ivana Išgum; Bennett A. Landman, Editor(s)

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