Automated landmark detection for assessing hip conditions: a cross-modality validation of MRI versus X-ray

Conference item

Many clinical screening decisions are based on angle measurements. In particular, FemoroAcetabular Impingement (FAI) screening relies on angles traditionally measured on X-rays. However, assessing the height and span of the impingement area requires also a 3D view through an MRI scan. The two modalities inform the surgeon on different aspects of the condition. In this work, we conduct a matched-cohort validation study (89 patients, paired MRI/X-ray) using standard heatmap regression architectures to assess cross-modality clinical equivalence. Seen that landmark detection has been proven effective on X-rays, we show that MRI also achieves equivalent localisation and diagnostic accuracy for cam-type impingement. Our method demonstrates clinical feasibility for FAI assessment in coronal views of 3D MRI volumes, opening the possibility for volumetric analysis through placing further landmarks. These results support integrating automated FAI assessment into routine MRI workflows. Code is released at https://github.com/Malga-Vision/Landmarks-Hip-Conditions.

Authors: Di Via, R; Pastore, VP; Odone, F; Glyn-Jones, S; Voiculescu, I

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Host title: 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)
• Publication date: 2026-05-20
• Acceptance date: 2026-01-13
• Event title: 23rd International Symposium on Biomedical Imaging (ISBI 2026)
• Event location: London, UK
• Event website: https://biomedicalimaging.org/2026/
• Event start date: 2026-04-08
• Event end date: 2026-04-11
• DOI: 10.1109/isbi61048.2026.11515938
• EISSN: 1945-8452
• ISSN: 1945-7928
• EISBN: 9798331577636
• ISBN: 9798331577643
• Language: English
• Keywords: magnetic resonance imaging; X-rays; signal detection; cams; computer aided manufacturing; printing; measurement; hip; accuracy; modeling