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arXiv · 1803.11289

Application of computational breast phantoms to evaluate reconstruction methods for fluorescence molecular tomography

Yansong Zhu·Abhinav K. Jha·Arman Rahmim
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Abstract

Fluorescence molecular tomography (FMT) has potential of providing high contrast images for breast tumor detection. Computational phantom provides a convenient way to a wide variety of fluorophore distribution configurations in patients and perform comprehensive evaluation of the imaging systems and methods for FMT. In this study, a digital breast phantom was used to compare the performance of a novel sparsity-based reconstruction method and Tikhonov regularization method for resolving tumors with different amount of separation. The results showed that the proposed sparse reconstruction method yielded better performance. This simulation-based approach with computational phantoms enabled an evaluation of the reconstruction methods for FMT for breast-cancer detection.

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Yansong Zhu, Abhinav K. Jha, Arman Rahmim. 2018-03-29. Application of computational breast phantoms to evaluate reconstruction methods for fluorescence molecular tomography. https://arxiv.org/abs/1803.11289

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