Quantification of short echo time MRS signals with improved version of QUantitation based on quantum ESTimation algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F23%3A00575343" target="_blank" >RIV/68081731:_____/23:00575343 - isvavai.cz</a>

Result on the web

<a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/nbm.5008" target="_blank" >https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/nbm.5008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/nbm.5008" target="_blank" >10.1002/nbm.5008</a>

Result language

angličtina

Original language name

Quantification of short echo time MRS signals with improved version of QUantitation based on quantum ESTimation algorithm

Original language description

Magnetic resonance spectroscopy offers information about metabolite changes in the organism, which can be used in diagnosis. While short echo time proton spectra exhibit more distinguishable metabolites compared with proton spectra acquired with long echo times, their quantification (and providing estimates of metabolite concentrations) is more challenging. They are hampered by a background signal, which originates mainly from macromolecules (MM) and mobile lipids. An improved version of the quantification algorithm QUantitation based on quantum ESTimation (QUEST), with MM prior knowledge (QUEST-MM), dedicated to proton signals and invoking appropriate prior knowledge on MM, is proposed and tested. From a single acquisition, it enables better metabolite quantification, automatic estimation of the background, and additional automatic quantification of MM components, thus improving its applicability in the clinic. The proposed algorithm may facilitate studies that involve patients with pathological MM in the brain. QUEST-MM and three QUEST-based strategies for quantifying short echo time signals are compared in terms of bias-variance trade-off and Cramer-Rao lower bound estimates. The performances of the methods are evaluated through extensive Monte Carlo studies. In particular, the histograms of the metabolite and MM amplitude distributions demonstrate the performances of the estimators. They showed that QUEST-MM works better than QUEST (Subtract approach) and is a good alternative to QUEST when measured MM signal is unavailable or unsuitable. Quantification with QUEST-MM is shown for H-1 in vivo rat brain signals obtained with the SPECIAL pulse sequence at 9.4 T, and human brain signals obtained, respectively, with STEAM at 4 T and PRESS at 3 T. QUEST-MM is implemented in jMRUI and will be available for public use from version 7.1.

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

20601 - Medical engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Name of the periodical

Nmr in Biomedicine

ISSN

0952-3480

e-ISSN

1099-1492

Volume of the periodical

36

Issue of the periodical within the volume

11

Country of publishing house

US - UNITED STATES

Number of pages

27

Pages from-to

e5008

UT code for WoS article

001042037600001

EID of the result in the Scopus database

2-s2.0-85166754620