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

Result code in 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>

Alternative codes found

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

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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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

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OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

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

Name of the periodical

Quantitative Imaging in Medicine and Surgery

ISSN

2223-4292

e-ISSN

2223-4306

Volume of the periodical

14

Issue of the periodical within the volume

5

Country of publishing house

CN - CHINA

Number of pages

11

Pages from-to

3534-3544

UT code for WoS article

001250132200023

EID of the result in the Scopus database

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