Pre-injection anticipation of artifacts in contrast-enhanced breast MRI: artificial intelligence harnessed for the aid once again
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10536-z.pdf
Reference10 articles.
1. Jing X, Wielema M, Cornelissen LJ et al (2022) (2022) Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time. Eur Radiol 32(12):8706–8715
2. Kapsner LA, Ohlmeyer S, Folle L et al (2022) Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast. Eur Radiol 32(9):5997–6007
3. Kuhl CK, Schrading S, Strobel K et al (2014) Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection—a novel approach to breast cancer screening with MRI. J Clin Oncol 32:2304–2310
4. Liebert A, Kumar Das B, Lorenz A et al (2023) Smart forecasting of artifacts in contrast-enhanced breast MRI before contrast agent administration. Eur Radiol. https://doi.org/10.1007/s00330-023-10469-7
5. Liu Z, Li X, Feng B et al (2021) MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancer. Eur Radiol. 31:3683–3692
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