Image quality and diagnostic performance of deep learning reconstruction for diffusion- weighted imaging in 3 T breast MRI.

Journal: European journal of radiology

PMID: 39970544

Abstract

PURPOSE: This study aimed to assess the image quality and the diagnostic value of deep learning reconstruction (DLR) for diffusion-weighted imaging (DWI) compared with conventional single-shot echo-planar imaging (ss-EPI) in 3 T breast MRI.

Authors

Eun Ji Lee

Department of Pathology, Green Cross Laboratories, Yongin, Gyeonggi, South Korea.
Yun-Woo Chang

Department of Radiology, Soonchunhyang University Seoul Hospital, 59 Daesakwan-ro, Yongsan-ku, Seoul 04401, Korea. Electronic address: ywchang@schmc.ac.kr.
Eun Hye Lee

Department of Radiology, Soonchunhyang University Hospital Bucheon, Soonchunhyang University College of Medicine, Bucheon, South Korea.
Jang Gyu Cha

Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon.
Shin Young Kim

Department of Radiology, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea.
Nami Choi
Munyoung Paek

Siemens Healthineers Ltd, Seoul, Korea.
Omar Darwish

Keywords

Adult Aged Artifacts Breast Breast Neoplasms Deep Learning Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Female Humans Image Interpretation, Computer-Assisted Middle Aged Prospective Studies

External Resources

View on PubMed Access via DOI PubMed (39970544)

Image quality and diagnostic performance of deep learning reconstruction for diffusion- weighted imaging in 3 T breast MRI.

Abstract

Authors

Keywords

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