Novel deep-learning-based diffusion weighted imaging sequence in 1.5 T breast MRI-Reference-Cited by-同舟云学术

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Novel deep-learning-based diffusion weighted imaging sequence in 1.5 T breast MRI

Published:2023-09 Issue: Volume:166 Page:110948
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Wessling Daniel,Gassenmaier Sebastian,Olthof Susann-Cathrin,Benkert Thomas,Weiland Elisabeth,Afat Saif,Preibsch Heike

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference22 articles.

1. Breast MRI: state of the art;Mann;Radiology,2019

2. Diffusion breast MRI: current standard and emerging techniques;Mendez;Front Oncol,2022

3. Diffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging;White;Cancer Res,2014

4. Value of diffusion-weighted MRI in predicting early response to neoadjuvant chemotherapy of breast cancer: comparison between ROI-ADC and whole-lesion-ADC measurements;Hottat;Eur Radiol,2022

5. Advances in breast MRI: diffusion-weighted imaging of the breast;Kuroki;Breast Cancer,2008

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1. Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences;European Radiology;2024-09-07

2. Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T;Diagnostics;2024-08-10

3. Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning–Based Image Reconstruction: Impact on Image Quality and Lesion Detection;Journal of Computer Assisted Tomography;2024-05-06

4. AI Applications to Breast MRI: Today and Tomorrow;Journal of Magnetic Resonance Imaging;2024-04-05

5. Initial experience with a next-generation low-field MRI scanner: Potential for breast imaging?;European Journal of Radiology;2024-04

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