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Deep Learning-Accelerated Prostate MRI: Improving Speed, Accuracy, and Sustainability

delete2025-07-14
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OA
AI
P
Philipp Reschke *
V
Vitali Koch
L
Leon D. Gruenewald
A
Ahmed Ait Bachir
J
Jennifer Gotta
C
Christian Booz
M
Mohamed Alaa Alrahmoun
R
Ralph Strecker
D
Dominik Nickel
T
Tommaso D’Angelo
D
Daniel Dahm
P
P Konrad
L
Levent A Solim
M
Maximilian Holzer
S
Saber Al-Saleh
J
Jan‐Erik Scholtz
C
Christof M. Sommer
R
Renate Hammerstingl
K
Katrin Eichler
T
Thomas J. Vogl
D
David M. Leistner
S
Sebastian M Haberkorn
S
Scherwin Mahmoudi
DOI:10.1016/j.acra.2025.06.022delete
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Abstract

Abstract

En 中文
This study aims to evaluate the effectiveness of a deep learning (DL)-enhanced four-fold parallel acquisition technique (P4) in improving prostate MR image quality while optimizing scan efficiency compared to the traditional two-fold parallel acquisition technique (P2).
Keywords:
Magnetic Resonance Imaging
Prostate
Deep Learning
Sustainability
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Academic Radiology cover
Academic Radiology
IF:
3.9
Papers:
8.6K
Citations:
1.0W

Organization

G
goethe university hospital
Scholars:
43
Papers: 12
Citations: 0
H
Heidelberg University Hospital
Scholars:
1.1K
Papers: 345
Citations: 0
G
goethe university hospital frankfurt
Scholars:
27
Papers: 8
Citations: 0
U
University of Messina
Scholars:
1.5W
Papers: 1.1W
Citations: 1.1W
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