Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging-Reference-Cited by-同舟云学术

Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging

Published:2022-05 Issue:2 Volume:303 Page:373-381
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Ueda Takahiro¹^ORCID,Ohno Yoshiharu¹^ORCID,Yamamoto Kaori¹^ORCID,Murayama Kazuhiro¹^ORCID,Ikedo Masato¹^ORCID,Yui Masao¹^ORCID,Hanamatsu Satomu¹^ORCID,Tanaka Yumi¹^ORCID,Obama Yuki¹,Ikeda Hirotaka¹^ORCID,Toyama Hiroshi¹^ORCID

Affiliation:

1. From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.).

Funder

Canon Medical Systems

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.204097

Reference35 articles.

1. Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging

2. Prostate Cancer: The European Society of Urogenital Radiology Prostate Imaging Reporting and Data System Criteria for Predicting Extraprostatic Extension by Using 3-T Multiparametric MR Imaging

3. State-of-the-art imaging techniques in the management of preoperative staging and re-staging of prostate cancer