Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081078" target="_blank" >RIV/00159816:_____/24:00081078 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14110/24:00136421 RIV/00216208:11110/24:10483059 RIV/00216305:26220/24:PU151564 RIV/00064165:_____/24:10483059

Výsledek na webu

<a href="https://qims.amegroups.org/article/view/123434/html" target="_blank" >https://qims.amegroups.org/article/view/123434/html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21037/qims-23-1488" target="_blank" >10.21037/qims-23-1488</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time

Popis výsledku v původním jazyce

Background: Deep-learning-based reconstruction (DLR) improves the quality of magnetic resonance (MR) images which allows faster acquisitions. The aim of this study was to compare the image quality of standard and accelerated T2 weighted turbo-spin-echo (TSE) images of the prostate reconstructed with and without DLR and to find associations between perceived image quality and calculated image characteristics. Methods: In a cohort of 47 prospectively enrolled consecutive patients referred for bi-parametric prostate magnetic resonance imaging (MRI), two T2-TSE acquisitions in the transverse plane were acquired on a 3T scanner-a standard T2-TSE sequence and a short sequence accelerated by a factor of two using compressed sensing (CS). The images were reconstructed with and without DLR in super-resolution mode. The image quality was rated in six domains. Signal-to-noise ratio (SNR), and image sharpness were measured. Results: The mean acquisition time was 281 +/- 23 s for the standard and 140 +/- 12 s for the short acquisition (P&lt;0.0001). DLR images had higher sharpness compared to non-DLR (P&lt;0.001). Short and short-DLR had lower SNR than the standard and standard-DLR (P&lt;0.001). The perceived image quality of short-DLR was rated better in all categories compared to the standard sequence (P&lt;0.001 to P=0.004). All domains of subjective evaluation were correlated with measured image sharpness (P&lt;0.001). Conclusions: T2-TSE acquisition of the prostate accelerated using CS combined with DLR reconstruction provides images with increased sharpness that have a superior quality as perceived by human readers compared to standard T2-TSE. The perceived image quality is correlated with measured image contrast.

Název v anglickém jazyce

Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time

Popis výsledku anglicky

Background: Deep-learning-based reconstruction (DLR) improves the quality of magnetic resonance (MR) images which allows faster acquisitions. The aim of this study was to compare the image quality of standard and accelerated T2 weighted turbo-spin-echo (TSE) images of the prostate reconstructed with and without DLR and to find associations between perceived image quality and calculated image characteristics. Methods: In a cohort of 47 prospectively enrolled consecutive patients referred for bi-parametric prostate magnetic resonance imaging (MRI), two T2-TSE acquisitions in the transverse plane were acquired on a 3T scanner-a standard T2-TSE sequence and a short sequence accelerated by a factor of two using compressed sensing (CS). The images were reconstructed with and without DLR in super-resolution mode. The image quality was rated in six domains. Signal-to-noise ratio (SNR), and image sharpness were measured. Results: The mean acquisition time was 281 +/- 23 s for the standard and 140 +/- 12 s for the short acquisition (P&lt;0.0001). DLR images had higher sharpness compared to non-DLR (P&lt;0.001). Short and short-DLR had lower SNR than the standard and standard-DLR (P&lt;0.001). The perceived image quality of short-DLR was rated better in all categories compared to the standard sequence (P&lt;0.001 to P=0.004). All domains of subjective evaluation were correlated with measured image sharpness (P&lt;0.001). Conclusions: T2-TSE acquisition of the prostate accelerated using CS combined with DLR reconstruction provides images with increased sharpness that have a superior quality as perceived by human readers compared to standard T2-TSE. The perceived image quality is correlated with measured image contrast.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Quantitative Imaging in Medicine and Surgery

ISSN

2223-4292

e-ISSN

2223-4306

Svazek periodika

14

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

11

Strana od-do

3534-3544

Kód UT WoS článku

001250132200023

EID výsledku v databázi Scopus

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