Fast and accurate compensation of signal offset for T2
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F19%3A73600080" target="_blank" >RIV/61989592:15110/19:73600080 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007%2Fs10334-019-00737-3" target="_blank" >https://link.springer.com/article/10.1007%2Fs10334-019-00737-3</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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fast and accurate compensation of signal offset for T2
Popis výsledku v původním jazyce
Objective T2 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 T2 overestimation by the vendor’s 2-parameter algorithm. The accuracy of the T2 estimate is improved, if the non-zero offset is estimated as a third parameter. Three-parameter Levenberg– Marquardt (LM) T2 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 T2 mapping algorithm offers a fast and much more accurate off-the-shelf replacement for the inaccurate 2-parameter fit in the vendor’s software.
Název v anglickém jazyce
Fast and accurate compensation of signal offset for T2
Popis výsledku anglicky
Objective T2 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 T2 overestimation by the vendor’s 2-parameter algorithm. The accuracy of the T2 estimate is improved, if the non-zero offset is estimated as a third parameter. Three-parameter Levenberg– Marquardt (LM) T2 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 T2 mapping algorithm offers a fast and much more accurate off-the-shelf replacement for the inaccurate 2-parameter fit in the vendor’s software.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30224 - Radiology, nuclear medicine and medical imaging
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
ISSN
0968-5243
e-ISSN
—
Svazek periodika
2019
Číslo periodika v rámci svazku
32
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
14
Strana od-do
423-436
Kód UT WoS článku
000476510700002
EID výsledku v databázi Scopus
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