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Validation of T1 and T2 algorithms for quantitative MRI : Performance by a vendor-independent software

Bidhult, Sebastian LU ; Kantasis, George; Aletras, Anthony H. LU ; Arheden, Håkan LU ; Heiberg, Einar LU and Hedström, Erik LU (2016) In BMC Medical Imaging 16(1).
Abstract

Background: Determination of the relaxation time constants T1 and T2 with quantitative magnetic resonance imaging is increasingly used for both research and clinical practice. Recently, groups have been formed within the Society of Cardiovascular Magnetic Resonance to address issues with relaxometry. However, so far they have avoided specific recommendations on methodology due to lack of consensus and current evolving research. Standardised widely available software may simplify this process. The purpose of the current study was to develop and validate vendor-independent T1 and T2 mapping modules and implement those in the versatile and widespread software Segment, freely available for research and FDA approved for clinical... (More)

Background: Determination of the relaxation time constants T1 and T2 with quantitative magnetic resonance imaging is increasingly used for both research and clinical practice. Recently, groups have been formed within the Society of Cardiovascular Magnetic Resonance to address issues with relaxometry. However, so far they have avoided specific recommendations on methodology due to lack of consensus and current evolving research. Standardised widely available software may simplify this process. The purpose of the current study was to develop and validate vendor-independent T1 and T2 mapping modules and implement those in the versatile and widespread software Segment, freely available for research and FDA approved for clinical applications. Results: The T1 and T2 mapping modules were developed and validated in phantoms at 1.5T and 3T with reference standard values calculated from reference pulse sequences using the Nelder-Mead Simplex optimisation method. The proposed modules support current commonly available MRI pulse sequences and both 2- and 3-parameter curve fitting. Images acquired in patients using three major vendors showed vendor-independence. Bias and variability showed high agreement with T1 and T2 reference standards for T1 (range 214-1752ms) and T2 (range 45-338ms), respectively. Conclusions: The developed and validated T1 and T2 mapping and quantification modules generated relaxation maps from current commonly used MRI sequences and multiple signal models. Patient applications showed usability for three major vendors.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Mapping, Quantitative magnetic resonance imaging, T1, T2
in
BMC Medical Imaging
volume
16
issue
1
publisher
BioMed Central
external identifiers
  • Scopus:84984780876
ISSN
1471-2342
DOI
10.1186/s12880-016-0148-6
language
English
LU publication?
yes
id
063b8583-412c-41f8-9e30-05aecb6c978d
date added to LUP
2016-09-21 23:19:08
date last changed
2016-10-20 10:59:28
@misc{063b8583-412c-41f8-9e30-05aecb6c978d,
  abstract     = {<p>Background: Determination of the relaxation time constants T1 and T2 with quantitative magnetic resonance imaging is increasingly used for both research and clinical practice. Recently, groups have been formed within the Society of Cardiovascular Magnetic Resonance to address issues with relaxometry. However, so far they have avoided specific recommendations on methodology due to lack of consensus and current evolving research. Standardised widely available software may simplify this process. The purpose of the current study was to develop and validate vendor-independent T1 and T2 mapping modules and implement those in the versatile and widespread software Segment, freely available for research and FDA approved for clinical applications. Results: The T1 and T2 mapping modules were developed and validated in phantoms at 1.5T and 3T with reference standard values calculated from reference pulse sequences using the Nelder-Mead Simplex optimisation method. The proposed modules support current commonly available MRI pulse sequences and both 2- and 3-parameter curve fitting. Images acquired in patients using three major vendors showed vendor-independence. Bias and variability showed high agreement with T1 and T2 reference standards for T1 (range 214-1752ms) and T2 (range 45-338ms), respectively. Conclusions: The developed and validated T1 and T2 mapping and quantification modules generated relaxation maps from current commonly used MRI sequences and multiple signal models. Patient applications showed usability for three major vendors.</p>},
  author       = {Bidhult, Sebastian and Kantasis, George and Aletras, Anthony H. and Arheden, Håkan and Heiberg, Einar and Hedström, Erik},
  issn         = {1471-2342},
  keyword      = {Mapping,Quantitative magnetic resonance imaging,T1,T2},
  language     = {eng},
  month        = {08},
  number       = {1},
  publisher    = {ARRAY(0x817b6a8)},
  series       = {BMC Medical Imaging},
  title        = {Validation of T1 and T2 algorithms for quantitative MRI : Performance by a vendor-independent software},
  url          = {http://dx.doi.org/10.1186/s12880-016-0148-6},
  volume       = {16},
  year         = {2016},
}