AnalyzeNNLS: Magnetic resonance multiexponential decay image analysis

Thorarin A. Bjarnason; J. Ross Mitchell

doi:10.1016/j.jmr.2010.07.008

AnalyzeNNLS: Magnetic resonance multiexponential decay image analysis

Thorarin A. Bjarnason, J. Ross Mitchell

Research

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

Exponential decays are fundamental to magnetic resonance imaging, yet adequately sampling and analyzing multiexponential decays is rarely attempted. The advantage of multiexponential analysis is the quantification of sub-voxel structure caused by water compartmentalization, with application as a non-invasive imaging biomarker for myelin. We have developed AnalyzeNNLS, software designed specifically for multiexponential decay image analysis that has a user-friendly graphical user interface and can analyze data from many MR manufacturers. AnalyzeNNLS is a simple, platform independent analysis tool that was created using the extensive mathematical and visualization libraries in Matlab, and released as open source code allowing scientists to evaluate, scrutinize, improve, and expand.

Original language	English (US)
Pages (from-to)	200-204
Number of pages	5
Journal	Journal of Magnetic Resonance
Volume	206
Issue number	2
DOIs	https://doi.org/10.1016/j.jmr.2010.07.008
State	Published - Oct 2010

Keywords

Magnetic resonance
Matlab
Multiexponential analysis
Quantitative T
Visualization

ASJC Scopus subject areas

Biophysics
Biochemistry
Nuclear and High Energy Physics
Condensed Matter Physics

Access to Document

10.1016/j.jmr.2010.07.008

Cite this

@article{b1196f7592e845889704932116ec75dd,

title = "AnalyzeNNLS: Magnetic resonance multiexponential decay image analysis",

abstract = "Exponential decays are fundamental to magnetic resonance imaging, yet adequately sampling and analyzing multiexponential decays is rarely attempted. The advantage of multiexponential analysis is the quantification of sub-voxel structure caused by water compartmentalization, with application as a non-invasive imaging biomarker for myelin. We have developed AnalyzeNNLS, software designed specifically for multiexponential decay image analysis that has a user-friendly graphical user interface and can analyze data from many MR manufacturers. AnalyzeNNLS is a simple, platform independent analysis tool that was created using the extensive mathematical and visualization libraries in Matlab, and released as open source code allowing scientists to evaluate, scrutinize, improve, and expand.",

keywords = "Magnetic resonance, Matlab, Multiexponential analysis, Quantitative T, Visualization",

author = "Bjarnason, {Thorarin A.} and Mitchell, {J. Ross}",

note = "Funding Information: TAB and JRM are funded by the Alberta Heritage Foundation for Medical Research (now part of Alberta Innovates – Health solutions) and the Informatics Circle of Research Excellence (now part of Alberta Innovates – Technology Futures). Thank you to Cheryl McCreary for helpful feedback on the software and to Wendy Oakden, Craig Jones, and Shanrong Zhang for file-open scripts. ",

year = "2010",

month = oct,

doi = "10.1016/j.jmr.2010.07.008",

language = "English (US)",

volume = "206",

pages = "200--204",

journal = "Journal of Magnetic Resonance",

issn = "1090-7807",

publisher = "Academic Press Inc.",

number = "2",

}

TY - JOUR

T1 - AnalyzeNNLS

T2 - Magnetic resonance multiexponential decay image analysis

AU - Bjarnason, Thorarin A.

AU - Mitchell, J. Ross

N1 - Funding Information: TAB and JRM are funded by the Alberta Heritage Foundation for Medical Research (now part of Alberta Innovates – Health solutions) and the Informatics Circle of Research Excellence (now part of Alberta Innovates – Technology Futures). Thank you to Cheryl McCreary for helpful feedback on the software and to Wendy Oakden, Craig Jones, and Shanrong Zhang for file-open scripts.

PY - 2010/10

Y1 - 2010/10

N2 - Exponential decays are fundamental to magnetic resonance imaging, yet adequately sampling and analyzing multiexponential decays is rarely attempted. The advantage of multiexponential analysis is the quantification of sub-voxel structure caused by water compartmentalization, with application as a non-invasive imaging biomarker for myelin. We have developed AnalyzeNNLS, software designed specifically for multiexponential decay image analysis that has a user-friendly graphical user interface and can analyze data from many MR manufacturers. AnalyzeNNLS is a simple, platform independent analysis tool that was created using the extensive mathematical and visualization libraries in Matlab, and released as open source code allowing scientists to evaluate, scrutinize, improve, and expand.

AB - Exponential decays are fundamental to magnetic resonance imaging, yet adequately sampling and analyzing multiexponential decays is rarely attempted. The advantage of multiexponential analysis is the quantification of sub-voxel structure caused by water compartmentalization, with application as a non-invasive imaging biomarker for myelin. We have developed AnalyzeNNLS, software designed specifically for multiexponential decay image analysis that has a user-friendly graphical user interface and can analyze data from many MR manufacturers. AnalyzeNNLS is a simple, platform independent analysis tool that was created using the extensive mathematical and visualization libraries in Matlab, and released as open source code allowing scientists to evaluate, scrutinize, improve, and expand.

KW - Magnetic resonance

KW - Matlab

KW - Multiexponential analysis

KW - Quantitative T

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=79956315634&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79956315634&partnerID=8YFLogxK

U2 - 10.1016/j.jmr.2010.07.008

DO - 10.1016/j.jmr.2010.07.008

M3 - Article

C2 - 20688549

AN - SCOPUS:79956315634

SN - 1090-7807

VL - 206

SP - 200

EP - 204

JO - Journal of Magnetic Resonance

JF - Journal of Magnetic Resonance

IS - 2

ER -

AnalyzeNNLS: Magnetic resonance multiexponential decay image analysis

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this