Markerless Tracking-Based Registration for Medical Image Motion Correction

Neubig L, Larsen D, Ikuma T, Kopp M, Kunduk M, Kist A (2026)

Publication Type: Conference contribution

Publication year: 2026

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 16150 LNCS

Pages Range: 34-43

Conference Proceedings Title: Lecture Notes in Computer Science

Event location: Daejeon, KOR

ISBN: 9783032061027

DOI: 10.1007/978-3-032-06103-4_4

Abstract

Our study focuses on isolating swallowing dynamics from interfering patient motion in videofluoroscopy, an X-ray technique that records patients swallowing a radiopaque bolus. These recordings capture multiple motion sources, including head movement, anatomical displacements, and bolus transit. To enable precise analysis of swallowing physiology, we aim to eliminate distracting motion, particularly head movement, while preserving essential swallowing-related dynamics. Optical flow methods fail due to artifacts like flickering and instability, making them unreliable for distinguishing different motion groups. We evaluated markerless tracking approaches (CoTracker, PIPs++, TAP-Net) and quantified tracking accuracy in key medical regions of interest. Our findings demonstrate that even sparse tracking points can generate morphing displacement fields that outperform leading registration methods, including ANTs, LDDMM, and VoxelMorph. To compare all approaches, we evaluated their performance using MSE and SSIM metrics after registration. We introduce a novel motion correction algorithm that effectively removes disruptive motion while preserving swallowing dynamics and surpassing competitive registration techniques. Our code is openly available at https://github.com/neuluna/markerless-motion-correction.

Authors with CRIS profile

Luisa Neubig Juniorprofessur für Artificial Intelligence in Communication Disorders Markus Kopp Institute of Radiology Andreas Kist Juniorprofessur für Artificial Intelligence in Communication Disorders

Involved external institutions

East Carolina University US United States (USA) (US) Louisiana State University Health Sciences Center US United States (USA) (US) Louisiana State University US United States (USA) (US)

How to cite

APA:

Neubig, L., Larsen, D., Ikuma, T., Kopp, M., Kunduk, M., & Kist, A. (2026). Markerless Tracking-Based Registration for Medical Image Motion Correction. In Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu (Eds.), Lecture Notes in Computer Science (pp. 34-43). Daejeon, KOR: Springer Science and Business Media Deutschland GmbH.

MLA:

Neubig, Luisa, et al. "Markerless Tracking-Based Registration for Medical Image Motion Correction." Proceedings of the 1st International Workshop on Reconstruction and Imaging Motion Estimation, RIME 2025, and 7th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2025, held in conjunction with the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2025, Daejeon, KOR Ed. Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu, Springer Science and Business Media Deutschland GmbH, 2026. 34-43.

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