Ultrahigh spatiotemporal resolution fluorescence molecular tomography with a sparsity constrained dimensional reduction reconstruction model

Hyun K. Kim, Ankit Raghuram, Yongyi Zhao, Ashok Veeraraghavan, Jacob Robinson, Andreas H. Hielscher

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We present here a new fluorescence molecular tomographic model that can provide ultrahigh spatial and temporal resolution reconstruction through sparsity constrained dimensional reduction. The new method implements a novel sparsity function to asymptotically enforce the sparsest representation of fluorescent targets while reducing the problem dimension based correlation between sensing matrix and measurement. Parameterized temporal data (TD) L(S), available from the Laplace transform, is used here as input to the inverse model for their computational efficiency and accuracy and robustness to noise. We use radiative transfer equation (RTE) as a light propagation model as it provides more accurate predictions of light propagation in small-volume tissue. The performance of this new method is evaluated through numerical phantoms, focusing on spatial resolution and computational speed. The results show that the sparsity constrained dimensional reduction inverse model can achieve near cellular resolution (∼1mm spatial resolution) at depth of 70 mean free paths (MFPs) within ∼25 milliseconds.

    Original languageEnglish (US)
    Title of host publicationHigh-Speed Biomedical Imaging and Spectroscopy VII
    EditorsKevin K. Tsia, Keisuke Goda
    PublisherSPIE
    ISBN (Electronic)9781510648135
    DOIs
    StatePublished - 2022
    EventHigh-Speed Biomedical Imaging and Spectroscopy VII 2022 - Virtual, Online
    Duration: Feb 20 2022Feb 24 2022

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume11971
    ISSN (Print)1605-7422

    Conference

    ConferenceHigh-Speed Biomedical Imaging and Spectroscopy VII 2022
    CityVirtual, Online
    Period2/20/222/24/22

    Keywords

    • dimensional reduction
    • fluorescence molecular tomography
    • Laplace transform
    • Optical imaging
    • radiative transfer equation
    • sparsest reconstruction
    • ultrahigh spatiotemporal resolution

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Biomaterials
    • Radiology Nuclear Medicine and imaging

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