[HTML][HTML] Current and potential applications of artificial intelligence in medical imaging practice: A narrative review
J Potočnik, S Foley, E Thomas - Journal of Medical Imaging and Radiation …, 2023 - Elsevier
Background and purpose Artificial intelligence (AI) is present in many areas of our lives.
Much of the digital data generated in health care can be used for building automated …
Much of the digital data generated in health care can be used for building automated …
Prostate MRI and image quality: it is time to take stock
Multiparametric magnetic resonance imaging (mpMRI) plays a vital role in prostate cancer
diagnosis and management. With the increase in use of mpMRI, obtaining the best possible …
diagnosis and management. With the increase in use of mpMRI, obtaining the best possible …
[HTML][HTML] Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time
Purpose The purpose of this study was to evaluate the impact of a deep learning-based
super-resolution technique on T1-weighted gradient-echo acquisitions (volumetric …
super-resolution technique on T1-weighted gradient-echo acquisitions (volumetric …
[HTML][HTML] Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction
S Afat, J Herrmann, H Almansour, T Benkert… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to investigate the impact of deep learning
accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …
accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …
ICRU REPORT 97: MRI-guided radiation therapy using MRI-linear accelerators
The International Commission on Radiation Units and Measurements (ICRU), since its
inception in 1925, has had as its principal objective the development of internationally …
inception in 1925, has had as its principal objective the development of internationally …
Deep learning-enhanced parallel imaging and simultaneous multislice acceleration reconstruction in knee MRI
Objectives This study aimed to examine various combinations of parallel imaging (PI) and
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
Update on optimization of prostate MR imaging technique and image quality
The first MRI study of the prostate gland was performed by Steyn and Smith in 1982 1;
however, MR imaging only became clinically feasible with the introduction of endorectal …
however, MR imaging only became clinically feasible with the introduction of endorectal …
Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
Feasibility of deep learning k-space-to-image reconstruction for diffusion weighted imaging in patients with breast cancers: Focus on image quality and reduced scan …
EJ Lee, YW Chang, JK Sung, B Thomas - European Journal of Radiology, 2022 - Elsevier
Purpose This study aimed to evaluate the feasibility of accelerated DLR (deep learning
reconstruction) single-shot echo planar imaging (ss-EPI) for diffusion-weighted image (DWI) …
reconstruction) single-shot echo planar imaging (ss-EPI) for diffusion-weighted image (DWI) …
Low-Field-Strength Body MRI: Challenges and Opportunities at 0.55 T
Advances in MRI technology have led to the development of low-field-strength
(hereafter,“low-field”)(0.55 T) MRI systems with lower weight, fewer shielding requirements …
(hereafter,“low-field”)(0.55 T) MRI systems with lower weight, fewer shielding requirements …