WHOLE-BODY MRI-BASED ASSESSMENT OF ADIPOSE TISSUE: RECOMMENDATIONS FOR DATA ACQUISITION AND PROCESSING

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00130601" target="_blank" >RIV/00216224:14310/23:00130601 - isvavai.cz</a>

Výsledek na webu

<a href="http://puvodni.mzm.cz/Anthropologie/article.php?ID=2385" target="_blank" >http://puvodni.mzm.cz/Anthropologie/article.php?ID=2385</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.26720/anthro.anthro.23.03.02.1" target="_blank" >10.26720/anthro.anthro.23.03.02.1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

WHOLE-BODY MRI-BASED ASSESSMENT OF ADIPOSE TISSUE: RECOMMENDATIONS FOR DATA ACQUISITION AND PROCESSING

Popis výsledku v původním jazyce

Detailed knowledge of the body composition, especially the amount and distribution of adipose tissue, is critical for cardiovascular and metabolic diseases risk management. Magnetic resonance imaging allows detailed localization and quantification of adipose tissue. From the available protocols, full-body scanning provides the most accurate and complex information. It is, however, also a challenging one. The extent of the entire body and the huge amount of data place high demands on scanning devices and data processing. At the same time, the automated algorithms struggle with the different body types and body compositions. In this study, a protocol for whole-body MRI-based adipose tissue assessment is provided. We hypothesize that the proposed positioning and fixation of the subject and the use of an adaptive data processing workflow will allow effective whole-body data acquisition that is beneficial for both the subject and the examiner. A pilot sample of 11 individuals was scanned on a 3T Siemens Magnetom Prisma device. First, a novel scanning protocol for whole-body scanning was proposed with an emphasis on proper participant positioning. Its greatest benefit lies in adding the system of fillers, pads, barriers, and harnessing providing fixation of the participant for greater comfort and ensuring that the largest possible body volume fits to the Field of View (FOV). Moreover, better feasibility of data processing was ensured due to the provided distancing of body parts. Subsequently, an adaptable, user-friendly, and reliable processing workflow combining automatic compilation of data processing steps with manual adjustments, allowing for detailed whole-body adipose tissue segmentation, was proposed in Avizo software.

Název v anglickém jazyce

WHOLE-BODY MRI-BASED ASSESSMENT OF ADIPOSE TISSUE: RECOMMENDATIONS FOR DATA ACQUISITION AND PROCESSING

Popis výsledku anglicky

Detailed knowledge of the body composition, especially the amount and distribution of adipose tissue, is critical for cardiovascular and metabolic diseases risk management. Magnetic resonance imaging allows detailed localization and quantification of adipose tissue. From the available protocols, full-body scanning provides the most accurate and complex information. It is, however, also a challenging one. The extent of the entire body and the huge amount of data place high demands on scanning devices and data processing. At the same time, the automated algorithms struggle with the different body types and body compositions. In this study, a protocol for whole-body MRI-based adipose tissue assessment is provided. We hypothesize that the proposed positioning and fixation of the subject and the use of an adaptive data processing workflow will allow effective whole-body data acquisition that is beneficial for both the subject and the examiner. A pilot sample of 11 individuals was scanned on a 3T Siemens Magnetom Prisma device. First, a novel scanning protocol for whole-body scanning was proposed with an emphasis on proper participant positioning. Its greatest benefit lies in adding the system of fillers, pads, barriers, and harnessing providing fixation of the participant for greater comfort and ensuring that the largest possible body volume fits to the Field of View (FOV). Moreover, better feasibility of data processing was ensured due to the provided distancing of body parts. Subsequently, an adaptable, user-friendly, and reliable processing workflow combining automatic compilation of data processing steps with manual adjustments, allowing for detailed whole-body adipose tissue segmentation, was proposed in Avizo software.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10700 - Other natural sciences

Projekt

<a href="/cs/project/VI04000019" target="_blank" >VI04000019: A.D.A.P.T. – Antropologická DAtabáze Proporcí Těla</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Anthropologie

ISSN

0323-1119

e-ISSN

2570-9127

Svazek periodika

61

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

109-117

Kód UT WoS článku

001054096900001

EID výsledku v databázi Scopus

2-s2.0-85178447385