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Proceedings Paper

A dynamic image reconstruction method with spatio-temporal constraints
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Paper Abstract

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.

Paper Details

Date Published: 4 March 2013
PDF: 7 pages
Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 858131 (4 March 2013); doi: 10.1117/12.2003394
Show Author Affiliations
Hyun Keol Kim, Columbia Univ. (United States)
Michael Khahil, Columbia Univ. (United States)
Jacqueline Gunther, Columbia Univ. (United States)
Ludguier Montejo, Columbia Univ. (United States)
Andreas H. Hielscher, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 8581:
Photons Plus Ultrasound: Imaging and Sensing 2013
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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