Fluorescence lifetime imaging and intravascular ultrasound: Co-registration study using ex vivo human coronaries

Dimitris Gorpas, Hussain Fatakdawala, Julien Bec, Dinglong Ma, Diego R. Yankelevich, Jinyi Qi, Laura Marcu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Fluorescence lifetime imaging (FLIM) has demonstrated potential for robust assessment of atherosclerotic plaques biochemical composition and for complementing conventional intravascular ultrasound (IVUS), which provides information on plaque morphology. The success of such a bi-modal imaging modality depends on accurate segmentation of the IVUS images and proper angular registration between these two modalities. This paper reports a novel IVUS segmentation methodology addressing this issue. The image preprocessing consisted of denoising, using the Wiener filter, followed by image smoothing, implemented through the application of the alternating sequential filter on the edge separability metric images. Extraction of the lumen/intima and media/adventitia boundaries was achieved by tracing the gray-scale peaks over the A-lines of the IVUS preprocessed images. Cubic spline interpolation, in both cross-sectional and longitudinal directions, ensured boundary smoothness and continuity. The detection of the guide-wire artifact in both modalities is used for angular registration. Intraluminal studies were conducted in 13 ex vivo segments of human coronaries. The IVUS segmentation accuracy was assessed against independent manual tracings, providing 91.82% sensitivity and 97.55% specificity. The proposed methodology makes the bi-modal FLIM and IVUS approach feasible for comprehensive intravascular diagnosis by providing co-registered biochemical and morphological information of atherosclerotic plaques.

Original languageEnglish (US)
Article number6881675
Pages (from-to)156-166
Number of pages11
JournalIEEE Transactions on Medical Imaging
Volume34
Issue number1
DOIs
StatePublished - Jan 1 2015

Keywords

  • Fluorescence lifetime imaging (FLIM)
  • image denoising
  • intravascular ultrasound (IVUS)
  • multimodal intravascular imaging
  • segmentation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

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