4.7 Article

Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography

期刊

IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 39, 期 5, 页码 1535-1544

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2019.2948258

关键词

Endoscopy; heart; image acquisition; optical imaging; OCT; DOT; vessels

资金

  1. NederlandseOrganisatie voorWetenschappelijk (NOW) [Veni-15940, 104003006]
  2. Deutsche Forschungsgemeinschaft (DFG) [DFG.EXC 2167]
  3. H2020 European Research Council (ERC) [646669]
  4. German Federal Ministry of Education and Research (BMBF) [13GW0227B, 13N14665]
  5. European Research Council (ERC) [646669] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

We demonstrate three-dimensional intravascular flow imaging compatible with routine clinical image acquisition workflow by means of megahertz (MHz) intravascular Doppler Optical Coherence Tomography (OCT). The OCT system relies on a 1.1 mm diameter motorized imaging catheter and a 1.5 MHz Fourier Domain Mode Locked (FDML) laser. Using a post processing method to compensate the drift of the FDML laser output, we can resolve the Doppler phase shift between two adjoining OCT A-line datasets. By interpretation of the velocity field as measured around the zero phase shift, the flow direction at specific angles can be qualitatively estimated. Imaging experiments were carried out in phantoms, micro channels, and swine coronary artery in vitro at a speed of 600 frames/s. The MHz wavelength sweep rate of the OCT system allows us to directly investigate flow velocity of up to 37.5 cm/s while computationally expensive phase-unwrapping has to be applied to measure such high speed using conventional OCT system. The MHz sweep rate also enables a volumetric Doppler imaging even with a fast pullback at 40 mm/s. We present the first simultaneously recorded 3D morphological images and Doppler flow profiles. Flow pattern estimation and three-dimensional structural reconstruction of entire coronary artery are achieved using a single OCT pullback dataset.

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