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


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

ASJC Scopus subject areas

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


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