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Combining Phase and Magnitude Information for Contrast Agent Quantification in Dynamic Contrast-Enhanced MRI Using Statistical Modeling

Brynolfsson, Patrik; Yu, Jun; Wirestam, Ronnie LU ; Karlsson, Mikael and Garpebring, Anders (2015) In Magnetic Resonance in Medicine 74(4). p.1156-1164
Abstract
Purpose: The purpose of this study was to investigate, using simulations, a method for improved contrast agent (CA) quantification in DCE-MRI. Methods: We developed a maximum likelihood estimator that combines the phase signal in the DCE-MRI image series with an additional CA estimate, e.g. the estimate obtained from magnitude data. A number of simulations were performed to investigate the ability of the estimator to reduce bias and noise in CA estimates. Noise levels ranging from that of a body coil to that of a dedicated head coil were investigated at both 1.5T and 3T. Results: Using the proposed method, the root mean squared error in the bolus peak was reduced from 2.24 to 0.11 mM in the vessels and 0.16 to 0.08 mM in the tumor rim for... (More)
Purpose: The purpose of this study was to investigate, using simulations, a method for improved contrast agent (CA) quantification in DCE-MRI. Methods: We developed a maximum likelihood estimator that combines the phase signal in the DCE-MRI image series with an additional CA estimate, e.g. the estimate obtained from magnitude data. A number of simulations were performed to investigate the ability of the estimator to reduce bias and noise in CA estimates. Noise levels ranging from that of a body coil to that of a dedicated head coil were investigated at both 1.5T and 3T. Results: Using the proposed method, the root mean squared error in the bolus peak was reduced from 2.24 to 0.11 mM in the vessels and 0.16 to 0.08 mM in the tumor rim for a noise level equivalent of a 12-channel head coil at 3T. No improvements were seen for tissues with small CA uptake, such as white matter. Conclusion: Phase information reduces errors in the estimated CA concentrations. A larger phase response from higher field strengths or higher CA concentrations yielded better results. Issues such as background phase drift need to be addressed before this method can be applied in vivo. (C) 2014 Wiley Periodicals, Inc. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
inverse problem, phase, contrast agent quantification, dynamic contrast-enhanced MRI
in
Magnetic Resonance in Medicine
volume
74
issue
4
pages
1156 - 1164
publisher
Wiley Online Library
external identifiers
  • wos:000364215200028
  • scopus:84941921833
ISSN
1522-2594
DOI
10.1002/mrm.25490
language
English
LU publication?
yes
id
97404f24-441e-4f07-8ebc-14dc88f13a6e (old id 8395181)
date added to LUP
2016-01-02 12:46:22
date last changed
2017-09-24 03:12:36
@article{97404f24-441e-4f07-8ebc-14dc88f13a6e,
  abstract     = {Purpose: The purpose of this study was to investigate, using simulations, a method for improved contrast agent (CA) quantification in DCE-MRI. Methods: We developed a maximum likelihood estimator that combines the phase signal in the DCE-MRI image series with an additional CA estimate, e.g. the estimate obtained from magnitude data. A number of simulations were performed to investigate the ability of the estimator to reduce bias and noise in CA estimates. Noise levels ranging from that of a body coil to that of a dedicated head coil were investigated at both 1.5T and 3T. Results: Using the proposed method, the root mean squared error in the bolus peak was reduced from 2.24 to 0.11 mM in the vessels and 0.16 to 0.08 mM in the tumor rim for a noise level equivalent of a 12-channel head coil at 3T. No improvements were seen for tissues with small CA uptake, such as white matter. Conclusion: Phase information reduces errors in the estimated CA concentrations. A larger phase response from higher field strengths or higher CA concentrations yielded better results. Issues such as background phase drift need to be addressed before this method can be applied in vivo. (C) 2014 Wiley Periodicals, Inc.},
  author       = {Brynolfsson, Patrik and Yu, Jun and Wirestam, Ronnie and Karlsson, Mikael and Garpebring, Anders},
  issn         = {1522-2594},
  keyword      = {inverse problem,phase,contrast agent quantification,dynamic contrast-enhanced MRI},
  language     = {eng},
  number       = {4},
  pages        = {1156--1164},
  publisher    = {Wiley Online Library},
  series       = {Magnetic Resonance in Medicine},
  title        = {Combining Phase and Magnitude Information for Contrast Agent Quantification in Dynamic Contrast-Enhanced MRI Using Statistical Modeling},
  url          = {http://dx.doi.org/10.1002/mrm.25490},
  volume       = {74},
  year         = {2015},
}