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Proceedings Paper

Bi-modal imaging of atherosclerotic plaques: Automated method for co-registration between fluorescence lifetime imaging and intravascular ultrasound data
Author(s): Dimitris Gorpas; Hussain Fatakdawala; Julien Bec; Dinglong Ma; Diego R. Yankelevich; John W. Bishop; Jinyi Qi; Laura Marcu
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Paper Abstract

The risk of atherosclerosis plaque rupture cannot be assessed by the current imaging systems and thus new multi-modal technologies are under investigation. This includes combining a new fluorescence lifetime imaging (FLIm) technique, which is sensitive to plaque biochemical features, with conventional intravascular ultrasound (IVUS), which provides information on plaque morphology. In this study we present an automated method allowing for the co-registration of imaging data acquired based on these two techniques. Intraluminal studies were conducted in ex-vivo segments of human coronaries with a multimodal catheter integrating a commercial IVUS (40 MHz) and a rotational side-viewing fiber based multispectral FLIm system (355 nm excitation, 390±20, 452±22 and 542±25 nm acquisition wavelengths). The proposed method relies on the lumen/intima boundary extraction from the IVUS polar images. Image restoration is applied for the noise reduction and edge enhancement, while gray-scale peak tracing over the A-lines of the IVUS polar images is applied for the lumen boundary extraction. The detection of the guide-wire artifact is used for the angular registration between FLIm and IVUS data, after which the lifetime values can be mapped onto the segmented lumen/intima interface. The segmentation accuracy has been assessed against manual tracings, providing 0.120±0.054 mm mean Hausdorff distance. This method makes the bi-modal FLIm and IVUS approach feasible for comprehensive intravascular diagnostic by providing co-registered biochemical and morphological information about atherosclerotic plaques.

Paper Details

Date Published: 4 March 2014
PDF: 8 pages
Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 892638 (4 March 2014); doi: 10.1117/12.2040311
Show Author Affiliations
Dimitris Gorpas, Univ. of California, Davis (United States)
Hussain Fatakdawala, Univ. of California, Davis (United States)
Julien Bec, Univ. of California, Davis (United States)
Dinglong Ma, Univ. of California, Davis (United States)
Diego R. Yankelevich, Univ. of California, Davis (United States)
John W. Bishop, UC Davis Medical Ctr. (United States)
Jinyi Qi, Univ. of California, Davis (United States)
Laura Marcu, Univ. of California, Davis (United States)


Published in SPIE Proceedings Vol. 8926:
Photonic Therapeutics and Diagnostics X
Bernard Choi; Hyun Wook Kang; Brian J. F. Wong; Guillermo J. Tearney; Andreas Mandelis; Nikiforos Kollias; Kenton W. Gregory; Justus F. Ilgner; Haishan Zeng; Laura Marcu, Editor(s)

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