A comprehensive dataset of magnetic resonance enterography images with intestinal segment annotations.

ABSTRACT: Inflammatory bowel disease (IBD) is a recurrent bowel disease that usually requires magnetic resonance enterography (MRE) for diagnosis and monitoring. However, recognition of bowel segments from MRE images by a radiologist is challenging and time-consuming. Deep learning-based medical image segmentation has shown the potential to reduce manual effort and provide automated tools to assist in disease management; however, it requires a large-scale fine-annotated dataset for training. To address this gap, we collected MRE data, including half-Fourier acquisition single-shot turbo spin-echo(HASTE) sequences with coronal orientation, from 114 patients with IBD, who received 1600-2000 mL of 2.5% mannitol. The bowel images per patient were contoured and annotated into ten segments (stomach, duode

SUBMITTER: Zhong Z 

PROVIDER: S-EPMC11897216 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature