Literature DB >> 16530093

Detection of cardiac cycle from intracoronary ultrasound.

Dongbai Guo1, Peter Richardson.   

Abstract

In this paper, we describe a method automatically to determine the phase of a cardiac cycle for each video frame of an intravascular ultrasound (IVUS) video recorded in vivo. We first review the principle of IVUS video and demonstrate the general applicability of our method. We show that the pulsating heart leads to phasic changes in image content of an IVUS video. With an image processing method, we can reverse this process and reliably extract the heart-beat phase directly from IVUS video. With the phase information, we demonstrate that we can build 3-D (3D) time-variant shapes and measure lumen volume changes within a cardiac cycle. We may also measure the changes of IVUS imaging probe off-center vector within a cardiac cycle, which serves as an indicator of vessel center-line curvature. The cardiac cycle extraction algorithm requires one scan of the IVUS video frames and takes O(n) time to complete, n being the total number of the video frames. The advantage of this method is that it requires no user interaction and no hardware set-up and can be applied to coronary scans of live beating hearts. The extracted heart-beat rate, compared with clinical recordings, has less than 1% error.

Mesh:

Year:  2006        PMID: 16530093     DOI: 10.1016/j.ultrasmedbio.2005.12.011

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  1 in total

1.  A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images.

Authors:  Retesh Bajaj; Xingru Huang; Yakup Kilic; Ajay Jain; Anantharaman Ramasamy; Ryo Torii; James Moon; Tat Koh; Tom Crake; Maurizio K Parker; Vincenzo Tufaro; Patrick W Serruys; Francesca Pugliese; Anthony Mathur; Andreas Baumbach; Jouke Dijkstra; Qianni Zhang; Christos V Bourantas
Journal:  Int J Cardiovasc Imaging       Date:  2021-02-15       Impact factor: 2.357

  1 in total

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