AI in imaging: the regulatory landscape
DLG Hill - British Journal of Radiology, 2024 - academic.oup.com
Artificial intelligence (AI) methods have been applied to medical imaging for several
decades, but in the last few years, the number of publications and the number of AI-enabled …
decades, but in the last few years, the number of publications and the number of AI-enabled …
MRI versus dual-energy CT in local-regional staging of gastric cancer
Q Li, WY Xu, NN Sun, QX Feng, ZN Zhu, YJ Hou… - Radiology, 2024 - pubs.rsna.org
Background Preoperative local-regional tumor staging of gastric cancer (GC) is critical for
appropriate treatment planning. The comparative accuracy of multiparametric MRI (mpMRI) …
appropriate treatment planning. The comparative accuracy of multiparametric MRI (mpMRI) …
The importance and future of prostate MRI report templates: improving oncological care
B Spilseth, F Giganti, SD Chang - Abdominal Radiology, 2024 - Springer
The radiologist's report is crucial for guiding care post-imaging, with ongoing advancements
in report construction. Recent studies across various modalities and organ systems …
in report construction. Recent studies across various modalities and organ systems …
The potential for deep learning reconstruction to improve the quality of T2-weighted prostate MRI
B Turkbey - Radiology, 2023 - pubs.rsna.org
Dr Baris Turkbey is a senior clinician at the Molecular Imaging Branch of the National
Cancer Institute at the National Institutes of Health, where he currently serves as the head of …
Cancer Institute at the National Institutes of Health, where he currently serves as the head of …
Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol
B Oerther, H Engel, A Nedelcu, R Strecker… - European …, 2024 - Springer
Objectives To establish and evaluate an ultra-fast MRI screening protocol for prostate cancer
(PCa) in comparison to the standard multiparametric (mp) protocol, reducing scan time and …
(PCa) in comparison to the standard multiparametric (mp) protocol, reducing scan time and …
Alternating low‐rank tensor reconstruction for improved multiparametric mapping with cardiovascular MR Multitasking
Purpose To develop a novel low‐rank tensor reconstruction approach leveraging the
complete acquired data set to improve precision and repeatability of multiparametric …
complete acquired data set to improve precision and repeatability of multiparametric …
Deep learning denoising reconstruction for improved image quality in fetal cardiac cine MRI
TM Vollbrecht, C Hart, S Zhang, C Katemann… - Frontiers in …, 2024 - frontiersin.org
Purpose This study aims to evaluate deep learning (DL) denoising reconstructions for image
quality improvement of Doppler ultrasound (DUS)-gated fetal cardiac MRI in congenital …
quality improvement of Doppler ultrasound (DUS)-gated fetal cardiac MRI in congenital …
Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a …
G Wang, B Yang, X Qu, J Guo, Y Luo, X Xu, F Wu… - Neuroradiology, 2024 - Springer
Purpose To evaluate nnU-net's performance in automatically segmenting and volumetrically
measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI. Methods We collected …
measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI. Methods We collected …
[HTML][HTML] Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved …
M Jurka, I Macova, M Wagnerova… - … Imaging in Medicine …, 2024 - ncbi.nlm.nih.gov
Background Deep-learning-based reconstruction (DLR) improves the quality of magnetic
resonance (MR) images which allows faster acquisitions. The aim of this study was to …
resonance (MR) images which allows faster acquisitions. The aim of this study was to …
Deep learning reconstruction for lumbar spine MRI acceleration: a prospective study
H Tang, M Hong, L Yu, Y Song, M Cao, L Xiang… - European Radiology …, 2024 - Springer
Background We compared magnetic resonance imaging (MRI) turbo spin-echo images
reconstructed using a deep learning technique (TSE-DL) with standard turbo spin-echo …
reconstructed using a deep learning technique (TSE-DL) with standard turbo spin-echo …