Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods
Xia Li, Runzhao Yang, Muheng Li, Xiangtai Li, Antony J. Lomax, Joachim M. Buhmann, Ye Zhang

TL;DR
This paper introduces CPT-DIR, a continuous deformable image registration method using implicit neural representations inspired by fluid mechanics, improving accuracy and efficiency in radiotherapy motion modeling over traditional voxel-based methods.
Contribution
The novel CPT-DIR approach models anatomical motion continuously in space and time, unifying Eulerian and Lagrangian perspectives for better accuracy and real-time application in radiotherapy.
Findings
Enhanced landmark and contour registration accuracy
Superior performance in complex anatomical regions
Faster and more reliable motion interpolation
Abstract
Deformable image registration (DIR) is a crucial tool in radiotherapy for analyzing anatomical changes and motion patterns. Current DIR implementations rely on discrete volumetric motion representation, which often leads to compromised accuracy and uncertainty when handling significant anatomical changes and sliding boundaries. This limitation affects the reliability of subsequent contour propagation and dose accumulation procedures, particularly in regions with complex anatomical interfaces such as the lung-chest wall boundary. Given that organ motion is inherently a continuous process in both space and time, we aimed to develop a model that preserves these fundamental properties. Drawing inspiration from fluid mechanics, we propose a novel approach using implicit neural representation (INR) for continuous modeling of patient anatomical motion. This approach ensures spatial and…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Medical Imaging and Analysis · Medical Imaging Techniques and Applications
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings · Masked autoencoder
