Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning [ARTIFICIAL INTELLIGENCE]

CONCLUSIONS: We developed a novel deep learning architecture to synthesize virtual postcontrast enhancement by using only conventional noncontrast brain MR images. Our results demonstrate the potential of deep learning methods to reduce the need for gadolinium contrast in the evaluation of primary brain tumors.

http://www.ajnr.org/cgi/content/abstract/45/3/312?rss=1

Source: American Journal of Neuroradiology - March 7, 2024 Category: Radiology Authors: Murugesan, G., Yu, F. F., Achilleos, M., DeBevits, J., Nalawade, S., Ganesh, C., Wagner, B., Madhuranthakam, A. J., Maldjian, J. A. Tags: ARTIFICIAL INTELLIGENCE Source Type: research