2018/03/29 by Yansong Zhu, Zhu, Yansong, Abhinav K. Jha +3
Engineering · Medicine · Physics and Astronomy · #FOS: Physical sciences #Medical Physics (physics.med-ph) #Non-Invasive Vital Sign Monitoring #Optical Imaging and Spectroscopy Techniques #Photoacoustic and Ultrasonic Imaging #physics.med-ph
paper · pdf · doi:10.48550/arxiv.1803.11289
arxiv created 2018/03/29 · openalex publication_date 2018/03/29 · arxiv updated 2018/04/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.