Diffusion-weighted imaging helps gauge risk of prostate cancer but is marred by anatomical distortions, low image quality, and long scan time. The NIH is funding a postdoc-led project at NYU Grossman School of Medicine to clear things up.
Tag: Prostate Imaging
Imaging researchers at NYU Langone have used deep learning to turn noise against itself in order to improve low-field MRI. They’re after something much bigger than sharper images.
Imaging scientists at NYU Langone have created an AI model that assesses MRI data during the exam to inform the remainder of the imaging session.
Lavanya Umapathy, postdoctoral fellow who develops representation learning models for medical imaging, talks about improving prostate-cancer screening and using artificial intelligence to approach “the person behind the images.”
Jingjia Chen, postdoctoral fellow who investigates longitudinal imaging and imaging in the presence of motion, talks about using the past in the present, improving body MRI, and taking better pictures.
Congratulations to Jingjia Chen and coauthors on winning second prize in oral presentations at the International Society for Magnetic Resonance in Medicine workshop on body MRI.
Study finds MRI reduces the number of biopsies and detects more clinically significant cancers.
Pre-biopsy MRI may help avoid overtreating low-grade cancer.