A dynamic image reconstruction method with spatio-temporal constraints

Hyun Keol Kim, Michael Khahil, Jacqueline Gunther, Ludguier Montejo, Andreas H. Hielscher

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


    We introduce here a temporally constrained image reconstruction algorithm for fast dynamic imaging of the spatial distribution of tissue parameters such as oxy-hemoglobin, HbO2, or deoxy-hemoglobin, Hb, and their derived parameters, e.g., HbT or StO2. An unknown spatial-temporal distribution of the tissue parameter is represented by a combination of basis functions where bases are predefined and their coefficients are unknown. The performance of the new algorithm is evaluated using experimental studies with dynamic imaging of vascular disease in foot. The results show that the temporally constrained algorithm leads to 26- fold acceleration in the image reconstruction as compared to more traditional methods that have to reconstruct all time frames data sequentially.

    Original languageEnglish (US)
    Title of host publicationPhotons Plus Ultrasound
    Subtitle of host publicationImaging and Sensing 2013
    StatePublished - 2013
    EventPhotons Plus Ultrasound: Imaging and Sensing 2013 - San Francisco, CA, United States
    Duration: Feb 3 2013Feb 5 2013

    Publication series

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


    ConferencePhotons Plus Ultrasound: Imaging and Sensing 2013
    Country/TerritoryUnited States
    CitySan Francisco, CA


    • dynamic image reconstruction
    • PDE-constrained
    • Temporally-constrained

    ASJC Scopus subject areas

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


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