Fast and accurate compensation of signal offset for T-2 mapping

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F19%3A00071120" target="_blank" >RIV/65269705:_____/19:00071120 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14330/19:00109168

Result on the web

<a href="https://link.springer.com/article/10.1007/s10334-019-00737-3" target="_blank" >https://link.springer.com/article/10.1007/s10334-019-00737-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10334-019-00737-3" target="_blank" >10.1007/s10334-019-00737-3</a>

Result language

angličtina

Original language name

Fast and accurate compensation of signal offset for T-2 mapping

Original language description

Objective T-2 maps are more vendor independent than other MRI protocols. Multi-echo spin-echo signal decays to a non-zero offset due to imperfect refocusing pulses and Rician noise, causing T-2 overestimation by the vendor&apos;s 2-parameter algorithm. The accuracy of the T-2 estimate is improved, if the non-zero offset is estimated as a third parameter. Three-parameter Levenberg-Marquardt (LM) T-2 estimation takes several minutes to calculate, and it is sensitive to initial values. We aimed for a 3-parameter fitting algorithm that was comparably accurate, yet substantially faster. Methods Our approach gains speed by converting the 3-parameter minimisation problem into an empirically unimodal univariate problem, which is quickly minimised using the golden section line search (GS). Results To enable comparison, we propose a novel noise-masking algorithm. For clinical data, the agreement between the GS and the LM fit is excellent, yet the GS algorithm is two orders of magnitude faster. For synthetic data, the accuracy of the GS algorithm is on par with that of the LM fit, and the GS algorithm is significantly faster. The GS algorithm requires no parametrisation or initialisation by the user. Discussion The new GS T-2 mapping algorithm offers a fast and much more accurate off-the-shelf replacement for the inaccurate 2-parameter fit in the vendor&apos;s software.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

<a href="/en/project/LM2015062" target="_blank" >LM2015062: National Infrastructure for Biological and Medical Imaging</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Magnetic resonance materials in physics biology and medicine

ISSN

0968-5243

e-ISSN

—

Volume of the periodical

32

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

423-436

UT code for WoS article

000476510700002

EID of the result in the Scopus database

2-s2.0-85061291117