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Mallas, G.* ; Brooks, D.H.* ; Rosenthal, A. ; Nudelman, R.N. ; Mauskapf, A.* ; Jaffer, F.A.* ; Ntziachristos, V.

Improving quantification of intravascular fluorescence imaging using structural information.

Phys. Med. Biol. 57, 6395-6406 (2012)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Intravascular near-infrared fluorescence (iNIRF) imaging can enable the in vivo visualization of biomarkers of vascular pathology, including high-risk plaques. The technique resolves the bio-distribution of systemically administered fluorescent probes with molecular specificity in the vessel wall. However, the geometrical variations that may occur in the distance between fibre-tip and vessel wall can lead to signal intensity variations and challenge quantification. Herein we examined whether the use of anatomical information of the cross-section vessel morphology, obtained from co-registered intravascular ultrasound (IVUS), can lead to quantification improvements when fibre-tip and vessel wall distance variations are present. The algorithm developed employs a photon propagation model derived from phantom experiments that is used to calculate the relative attenuation of fluorescence signals as they are collected over 360° along the vessel wall, and utilizes it to restore accurate fluorescence readings. The findings herein point to quantification improvements when employing hybrid iNIRF, with possible implications to the clinical detection of high-risk plaques or blood vessel theranostics.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter OPTICAL COHERENCE TOMOGRAPHY; RAY COMPUTED-TOMOGRAPHY; IN-VIVO; CARDIOVASCULAR-DISEASE; ULTRASOUND IMAGES; CONTRAST AGENT; ATHEROSCLEROSIS; SEGMENTATION; INFLAMMATION; SYSTEM
ISSN (print) / ISBN 0031-9155
e-ISSN 1361-6560
Quellenangaben Band: 57, Heft: 20, Seiten: 6395-6406 Artikelnummer: , Supplement: ,
Verlag Institute of Physics Publishing (IOP)
Verlagsort Bristol
Begutachtungsstatus Peer reviewed