Deformable current-prior registration of DCE breast MR images on multi-site data

Kai Geißler; Ani Ambroladze; Nils Papenberg; Tom L. Koller; Heba Amer; Eva Maria Fallenberg; Seda Aladağ Kurt; Michael Ingrisch; Horst K. Hahn

doi:10.1117/12.3006738

2 April 2024 Deformable current-prior registration of DCE breast MR images on multi-site data

Kai Geißler, Ani Ambroladze, Nils Papenberg, Tom L. Koller, Heba Amer, Eva Maria Fallenberg, Seda Aladağ Kurt, Michael Ingrisch, Horst K. Hahn

Author Affiliations +

Proceedings Volume 12926, Medical Imaging 2024: Image Processing; 129262S (2024) https://doi.org/10.1117/12.3006738
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Recent studies indicate that malignant breast lesions can be predicted from structural changes in prior exams of preventive breast MRI examinations. Due to non-rigid deformation between studies, spatial correspondences between structures in two consecutive studies are lost. Thus, deformable image registration can contribute to predicting individual cancer risks. This study evaluates a registration approach based on a novel breast mask segmentation and non-linear image registration based on data from 5 different sites. The landmark error (mean ± standard deviation [1^st quartile, 3^rd quartile]), annotated by three radiologists, is 2.9 ± 2.8 [1.3, 3.2] mm when leaving out two outlier cases from the evaluation for which the registration failed completely. We assess the inter-observer variabilities of keypoint errors and find an error of 3.6 ± 4.7 [1.6, 4.0] mm, 4.4 ± 4.9 [1.8, 4.8] mm, and 3.8 ± 4.0 [1.7, 4.1] mm when comparing each radiologist to the mean keypoints of the other two radiologists. Our study shows that the current state of the art in registration is well suited to recover spatial correspondences of structures in cancerous and non-cancerous cases, despite the high level of difficulty of this task.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Kai Geißler, Ani Ambroladze, Nils Papenberg, Tom L. Koller, Heba Amer, Eva Maria Fallenberg, Seda Aladağ Kurt, Michael Ingrisch, and Horst K. Hahn "Deformable current-prior registration of DCE breast MR images on multi-site data", Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129262S (2 April 2024); https://doi.org/10.1117/12.3006738

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