Literature DB >> 29994199

4-D Intracardiac Ultrasound Vector Flow Imaging-Feasibility and Comparison to Phase-Contrast MRI.

Morten Smedsrud Wigen, Solveig Fadnes, Alfonso Rodriguez-Molares, Tore Bjastad, Marius Eriksen, Knut Haakon Stensath, Asbjorn Stoylen, Lasse Lovstakken.   

Abstract

In vivo characterization of intracardiac blood velocity vector fields may provide new clinical information but is currently not available for bedside evaluation. In this paper, 4-D vector flow imaging for intracardiac flow assessment is demonstrated using a clinical ultrasound (US) system and a matrix array transducer, without the use of contrast agent. Two acquisition schemes were developed, one for full volumetric coverage of the left ventricle (LA) at 50 vps and a 3-D thick-slice setup with continuous frame acquisition (4000 vps), both utilizing ECG-gating. The 3-D vector velocity estimates were obtained using a novel method combining phase and envelope information. In vitro validation in a rotating tissue-mimicking phantom revealed velocity estimates in compliance with the ground truth, with a linear regression slope of 0.80, 0.77, and 1.03 for the , , and velocity components, and with standard deviations of 2.53, 3.19, and 0.95 cm/s, respectively. In vivo measurements in a healthy LV showed good agreement with PC-MRI. Quantitative analysis of energy loss (EL) and kinetic energy (KE) further showed similar trends, with peak KE at 1.5 and 2.4 mJ during systole and 3.6 and 3.1 mJ for diastole for US and PC-MRI. Similar for EL, 0.15- 0.2 and 0.7 mW was found during systole and 0.6 and 0.7 mW during diastole, for US and PC-MRI, respectively. Overall, a potential for US as a future modality for 4D cardiac vector flow imaging was demonstrated, which will be further evaluated in clinical studies.

Mesh:

Year:  2018        PMID: 29994199     DOI: 10.1109/TMI.2018.2844552

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  5 in total

1.  3-D Intravascular Characterization of Blood Flow Velocity Fields with a Forward-Viewing 2-D Array.

Authors:  Brooks D Lindsey; Bowen Jing; Saeyoung Kim; Graham C Collins; Muralidhar Padala
Journal:  Ultrasound Med Biol       Date:  2020-06-30       Impact factor: 2.998

2.  Blood speckle imaging compared with conventional Doppler ultrasound for transvalvular pressure drop estimation in an aortic flow phantom.

Authors:  Cameron Dockerill; Harminder Gill; Joao Filipe Fernandes; Amanda Q X Nio; Ronak Rajani; Pablo Lamata
Journal:  Cardiovasc Ultrasound       Date:  2022-07-16       Impact factor: 2.263

3.  Left ventricular high frame rate echo-particle image velocimetry: clinical application and comparison with conventional imaging.

Authors:  Mihai Strachinaru; Jason Voorneveld; Lana B H Keijzer; Daniel J Bowen; Ferit O Mutluer; Folkert Ten Cate; Nico de Jong; Hendrik J Vos; Johan G Bosch; Annemien E van den Bosch
Journal:  Cardiovasc Ultrasound       Date:  2022-04-26       Impact factor: 2.263

4.  Characterization of Vortex Flow in a Mouse Model of Ventricular Dyssynchrony by Plane-Wave Ultrasound Using Hexplex Processing.

Authors:  Akshay Shekhar; Orlando Aristizabal; Glenn I Fishman; Colin K L Phoon; Jeffrey A Ketterling
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-02-25       Impact factor: 2.725

5.  Contrast Agent-Free Assessment of Blood Flow and Wall Shear Stress in the Rabbit Aorta using Ultrasound Image Velocimetry.

Authors:  Kai Riemer; Ethan M Rowland; Jacob Broughton-Venner; Chee Hau Leow; Mengxing Tang; P D Weinberg
Journal:  Ultrasound Med Biol       Date:  2021-12-05       Impact factor: 2.998

  5 in total

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