Abstract
Bioluminescence tomography (BLT) has a great potential to provide a powerful tool for tumor detection, monitoring tumor therapy progress, and drug development; developing new reconstruction algorithms will advance the technique to practical applications. In the paper, we propose a BLT reconstruction algorithm by combining SP3 equations and Bregman iteration method to improve the quality of reconstructed sources. The numerical results for homogeneous and heterogeneous phantoms are very encouraging and give significant improvement over the algorithms without the use of SP3 equations and Bregman iteration method.
Highlights
As an emerging molecular imaging technique, bioluminescence imaging (BLI) is potentially well suited for early detection, clinical drug development and monitoring, and regeneration research [1,2,3,4,5]. erefore, this imaging modality has received increasingly intense research interest worldwide over the recent years.To date, planar BLI is commonly used because of its ease of implementation and operational simplicity, but it suffers from signi cant limitations, including the low resolution, the lack of quanti cation, and the incapacity of accurately providing depth information [6]
Bioluminescence tomography (BLT) could overcome these limitations by using accurate reconstruction algorithms coupled with theoretical models of photon propagation in biological tissues, providing higher resolution, quanti cation accuracy, and depth information [7]
E objective of bioluminescence tomography (BLT) is to recover the unknown bioluminescent source distribution ss s snn based on the noisy surface measurements Φmeas ∈Rmm [6, 7]
Summary
As an emerging molecular imaging technique, bioluminescence imaging (BLI) is potentially well suited for early detection, clinical drug development and monitoring, and regeneration research [1,2,3,4,5]. erefore, this imaging modality has received increasingly intense research interest worldwide over the recent years. Bioluminescence tomography (BLT) could overcome these limitations by using accurate reconstruction algorithms coupled with theoretical models of photon propagation in biological tissues, providing higher resolution, quanti cation accuracy, and depth information [7]. In order to obtain the matrix AA in (1), the diffusion approximation (DA) to radiative transfer equation (RTE) is widely used as the forward model for BLT reconstructions. Despite the recent advances in BLT reconstruction algorithms and light propagation models, it is necessary to develop and re ne reconstruction methods to improve image quality. SP3 equations are adapted to model light propagation, and Bregman iteration method is used to solve the inverse problem for BLT. Numerical experiments were performed to evaluate the proposed algorithm, and corresponding conclusions were made
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