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Proceedings Paper

An algorithm to correct 2D near-infrared fluorescence signals using 3D intravascular ultrasound architectural information
Author(s): Georgios Mallas; Dana H. Brooks; Amir Rosenthal; Claudio Vinegoni; Marcella A. Calfon; R. Nika Razansky; Farouc A. Jaffer; Vasilis Ntziachristos
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Paper Abstract

Intravascular Near-Infrared Fluorescence (NIRF) imaging is a promising imaging modality to image vessel biology and high-risk plaques in vivo. We have developed a NIRF fiber optic catheter and have presented the ability to image atherosclerotic plaques in vivo, using appropriate NIR fluorescent probes. Our catheter consists of a 100/140 μm core/clad diameter housed in polyethylene tubing, emitting NIR laser light at a 90 degree angle compared to the fiber's axis. The system utilizes a rotational and a translational motor for true 2D imaging and operates in conjunction with a coaxial intravascular ultrasound (IVUS) device. IVUS datasets provide 3D images of the internal structure of arteries and are used in our system for anatomical mapping. Using the IVUS images, we are building an accurate hybrid fluorescence-IVUS data inversion scheme that takes into account photon propagation through the blood filled lumen. This hybrid imaging approach can then correct for the non-linear dependence of light intensity on the distance of the fluorescence region from the fiber tip, leading to quantitative imaging. The experimental and algorithmic developments will be presented and the effectiveness of the algorithm showcased with experimental results in both saline and blood-like preparations. The combined structural and molecular information obtained from these two imaging modalities are positioned to enable the accurate diagnosis of biologically high-risk atherosclerotic plaques in the coronary arteries that are responsible for heart attacks.

Paper Details

Date Published: 10 February 2011
PDF: 5 pages
Proc. SPIE 7892, Multimodal Biomedical Imaging VI, 78920W (10 February 2011); doi: 10.1117/12.875008
Show Author Affiliations
Georgios Mallas, Northeastern Univ. (United States)
Massachusetts General Hospital (United States)
Dana H. Brooks, Northeastern Univ. (United States)
Amir Rosenthal, Technische Univ. München (Germany)
Claudio Vinegoni, Massachusetts General Hospital (United States)
Marcella A. Calfon, Massachusetts General Hospital (United States)
R. Nika Razansky, Technische Univ. München (Germany)
Farouc A. Jaffer, Massachusetts General Hospital (United States)
Vasilis Ntziachristos, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 7892:
Multimodal Biomedical Imaging VI
Fred S. Azar; Xavier Intes, Editor(s)

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