Uncovering cortical layers with multi-exponential analysis: a region of interest study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F22%3A00127458" target="_blank" >RIV/00216224:14110/22:00127458 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9909806" target="_blank" >https://ieeexplore.ieee.org/document/9909806</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Uncovering cortical layers with multi-exponential analysis: a region of interest study

Popis výsledku v původním jazyce

Pathologies of the cerebral cortex often manifest at resolutions outside of the scope of conventional magnetic resonance imaging (MRI). Two different pathways aiming to overcome this limitation have emerged in recent years. One is focused on the direct imaging of the cortical layers achieved by increasing the MRI spatial resolution. The other approach relies on low-resolution images acquired at 3 T and represents the cortical layers in the domain of T1 spin-lattice relaxation. In this work, we follow the T1 -mapping-based approach and explore two possible methods to achieve the representation of cortical layers: (1) modeling using a multi-exponential model, and (2) inverse Laplace transformation (ILT). Several regions of interest (ROI) across the cerebral cortex were measured and later used to create the ground-truth dataset. Using this data, the performance of the two models was evaluated. The ILT method proved superior to the multi-exponential model, yielding separation of all components with an average estimation error of 2.52 %. This method may enrich the low-resolution imaging framework by providing a more precise estimation of the spin-lattice spectrum.

Název v anglickém jazyce

Uncovering cortical layers with multi-exponential analysis: a region of interest study

Popis výsledku anglicky

Pathologies of the cerebral cortex often manifest at resolutions outside of the scope of conventional magnetic resonance imaging (MRI). Two different pathways aiming to overcome this limitation have emerged in recent years. One is focused on the direct imaging of the cortical layers achieved by increasing the MRI spatial resolution. The other approach relies on low-resolution images acquired at 3 T and represents the cortical layers in the domain of T1 spin-lattice relaxation. In this work, we follow the T1 -mapping-based approach and explore two possible methods to achieve the representation of cortical layers: (1) modeling using a multi-exponential model, and (2) inverse Laplace transformation (ILT). Several regions of interest (ROI) across the cerebral cortex were measured and later used to create the ground-truth dataset. Using this data, the performance of the two models was evaluated. The ILT method proved superior to the multi-exponential model, yielding separation of all components with an average estimation error of 2.52 %. This method may enrich the low-resolution imaging framework by providing a more precise estimation of the spin-lattice spectrum.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

2022 30th European Signal Processing Conference (EUSIPCO)

ISBN

9789082797091

ISSN

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e-ISSN

2076-1465

Počet stran výsledku

4

Strana od-do

1353-1356

Název nakladatele

IEEE

Místo vydání

Spojené státy

Místo konání akce

Belgrade, Serbia

Datum konání akce

29. 8. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000918827600265