Enhancing the image quality of prostate diffusion-weighted imaging in patients with prostate cancer through model-based deep learning reconstruction-Reference-Cited by-同舟云学术

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Enhancing the image quality of prostate diffusion-weighted imaging in patients with prostate cancer through model-based deep learning reconstruction

Published:2024-12 Issue: Volume:13 Page:100588
ISSN:2352-0477
Container-title:European Journal of Radiology Open
language:en
Short-container-title:European Journal of Radiology Open

Author:

Nishioka Noriko,Fujima Noriyuki,Tsuneta Satonori,Yoshikawa Masato,Kimura Rina,Sakamoto Keita,Kato Fumi,Miyata Haruka,Kikuchi Hiroshi,Matsumoto Ryuji,Abe Takashige,Kwon Jihun,Yoneyama Masami,Kudo Kohsuke

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Reference26 articles.

1. Prostate cancer: multiparametric MR imaging for detection, localization, and staging;Hoeks;Radiology,2011

2. Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2;Turkbey;Eur. Urol.,2019

3. PI-RADS prostate imaging - reporting and data system: 2015, version 2;Weinreb;Eur. Urol.,2016

4. Improved diffusion-weighted single-shot echo-planar imaging (EPI) in stroke using sensitivity encoding (SENSE);Bammer;Magn. Reson. Med.,2001

5. Parallel imaging artifacts in body magnetic resonance imaging;Noël;Can. Assoc. Radiol. J.,2009

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