We are delighted to announce that a new research article from the Generalized Electric Medicine Group (GEM) has been published in Radiology: Artificial Intelligence:
“Longitudinal Registration of Breast DCE-MRI During Neoadjuvant Chemotherapy: Preserving Tumor Volume for Treatment Response Assessment.”
This study addresses an important challenge in breast cancer imaging analysis during neoadjuvant chemotherapy: how to accurately register longitudinal breast DCE-MRI scans while preserving tumor volume information for treatment response assessment. By focusing on volume-preserving longitudinal registration, the work aims to support more reliable evaluation of tumor changes across different time points during therapy.
The publication of this work in Radiology: Artificial Intelligence highlights GEM’s continued commitment to advancing clinically relevant medical imaging research at the intersection of artificial intelligence and healthcare. It also reflects the laboratory’s ongoing efforts to develop robust computational methods for precision diagnosis and treatment evaluation.