Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

In-vivo validation of interpolation-based phase offset correction in cardiovascular magnetic resonance flow quantification : A multi-vendor, multi-center study

Hofman, Mark B.M. ; Rodenburg, Manouk J.A. ; Markenroth Bloch, Karin LU orcid ; Werner, Beat ; Westenberg, Jos J.M. ; Valsangiacomo Buechel, Emanuela R. ; Nijveldt, Robin ; Spruijt, Onno A. ; Kilner, Philip J. and Van Rossum, Albert C. , et al. (2019) In Journal of Cardiovascular Magnetic Resonance 21(1).
Abstract

Background: A velocity offset error in phase contrast cardiovascular magnetic resonance (CMR) imaging is a known problem in clinical assessment of flow volumes in vessels around the heart. Earlier studies have shown that this offset error is clinically relevant over different systems, and cannot be removed by protocol optimization. Correction methods using phantom measurements are time consuming, and assume reproducibility of the offsets which is not the case for all systems. An alternative previously published solution is to correct the in-vivo data in post-processing, interpolating the velocity offset from stationary tissue within the field-of-view. This study aims to validate this interpolation-based offset correction in-vivo in a... (More)

Background: A velocity offset error in phase contrast cardiovascular magnetic resonance (CMR) imaging is a known problem in clinical assessment of flow volumes in vessels around the heart. Earlier studies have shown that this offset error is clinically relevant over different systems, and cannot be removed by protocol optimization. Correction methods using phantom measurements are time consuming, and assume reproducibility of the offsets which is not the case for all systems. An alternative previously published solution is to correct the in-vivo data in post-processing, interpolating the velocity offset from stationary tissue within the field-of-view. This study aims to validate this interpolation-based offset correction in-vivo in a multi-vendor, multi-center setup. Methods: Data from six 1.5 T CMR systems were evaluated, with two systems from each of the three main vendors. At each system aortic and main pulmonary artery 2D flow studies were acquired during routine clinical or research examinations, with an additional phantom measurement using identical acquisition parameters. To verify the phantom acquisition, a region-of-interest (ROI) at stationary tissue in the thorax wall was placed and compared between in-vivo and phantom measurements. Interpolation-based offset correction was performed on the in-vivo data, after manually excluding regions of spatial wraparound. Correction performance of different spatial orders of interpolation planes was evaluated. Results: A total of 126 flow measurements in 82 subjects were included. At the thorax wall the agreement between in-vivo and phantom was - 0.2 ± 0.6 cm/s. Twenty-eight studies were excluded because of a difference at the thorax wall exceeding 0.6 cm/s from the phantom scan, leaving 98. Before correction, the offset at the vessel as assessed in the phantom was - 0.4 ± 1.5 cm/s, which resulted in a - 5 ± 16% error in cardiac output. The optimal order of the interpolation correction plane was 1st order, except for one system at which a 2nd order plane was required. Application of the interpolation-based correction revealed a remaining offset velocity of 0.1 ± 0.5 cm/s and 0 ± 5% error in cardiac output. Conclusions: This study shows that interpolation-based offset correction reduces the offset with comparable efficacy as phantom measurement phase offset correction, without the time penalty imposed by phantom scans. Trial registration: The study was registered in The Netherlands National Trial Register (NTR) under TC 4865. Registered 19 September 2014. Retrospectively registered.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Aorta, Background offset, Cardiac output, Flow quantification, Main pulmonary artery, MRI, Phase contrast velocity mapping, Velocity offset
in
Journal of Cardiovascular Magnetic Resonance
volume
21
issue
1
article number
30
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85065875672
  • pmid:31104632
ISSN
1097-6647
DOI
10.1186/s12968-019-0538-3
language
English
LU publication?
yes
id
b82ace64-679b-4b1b-a2e8-1b07ba8dc323
date added to LUP
2019-06-11 13:24:58
date last changed
2024-04-16 09:37:15
@article{b82ace64-679b-4b1b-a2e8-1b07ba8dc323,
  abstract     = {{<p>Background: A velocity offset error in phase contrast cardiovascular magnetic resonance (CMR) imaging is a known problem in clinical assessment of flow volumes in vessels around the heart. Earlier studies have shown that this offset error is clinically relevant over different systems, and cannot be removed by protocol optimization. Correction methods using phantom measurements are time consuming, and assume reproducibility of the offsets which is not the case for all systems. An alternative previously published solution is to correct the in-vivo data in post-processing, interpolating the velocity offset from stationary tissue within the field-of-view. This study aims to validate this interpolation-based offset correction in-vivo in a multi-vendor, multi-center setup. Methods: Data from six 1.5 T CMR systems were evaluated, with two systems from each of the three main vendors. At each system aortic and main pulmonary artery 2D flow studies were acquired during routine clinical or research examinations, with an additional phantom measurement using identical acquisition parameters. To verify the phantom acquisition, a region-of-interest (ROI) at stationary tissue in the thorax wall was placed and compared between in-vivo and phantom measurements. Interpolation-based offset correction was performed on the in-vivo data, after manually excluding regions of spatial wraparound. Correction performance of different spatial orders of interpolation planes was evaluated. Results: A total of 126 flow measurements in 82 subjects were included. At the thorax wall the agreement between in-vivo and phantom was - 0.2 ± 0.6 cm/s. Twenty-eight studies were excluded because of a difference at the thorax wall exceeding 0.6 cm/s from the phantom scan, leaving 98. Before correction, the offset at the vessel as assessed in the phantom was - 0.4 ± 1.5 cm/s, which resulted in a - 5 ± 16% error in cardiac output. The optimal order of the interpolation correction plane was 1st order, except for one system at which a 2nd order plane was required. Application of the interpolation-based correction revealed a remaining offset velocity of 0.1 ± 0.5 cm/s and 0 ± 5% error in cardiac output. Conclusions: This study shows that interpolation-based offset correction reduces the offset with comparable efficacy as phantom measurement phase offset correction, without the time penalty imposed by phantom scans. Trial registration: The study was registered in The Netherlands National Trial Register (NTR) under TC 4865. Registered 19 September 2014. Retrospectively registered.</p>}},
  author       = {{Hofman, Mark B.M. and Rodenburg, Manouk J.A. and Markenroth Bloch, Karin and Werner, Beat and Westenberg, Jos J.M. and Valsangiacomo Buechel, Emanuela R. and Nijveldt, Robin and Spruijt, Onno A. and Kilner, Philip J. and Van Rossum, Albert C. and Gatehouse, Peter D.}},
  issn         = {{1097-6647}},
  keywords     = {{Aorta; Background offset; Cardiac output; Flow quantification; Main pulmonary artery; MRI; Phase contrast velocity mapping; Velocity offset}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Journal of Cardiovascular Magnetic Resonance}},
  title        = {{In-vivo validation of interpolation-based phase offset correction in cardiovascular magnetic resonance flow quantification : A multi-vendor, multi-center study}},
  url          = {{http://dx.doi.org/10.1186/s12968-019-0538-3}},
  doi          = {{10.1186/s12968-019-0538-3}},
  volume       = {{21}},
  year         = {{2019}},
}