@inproceedings{31820df2e8a04c77bd6f27efe8db3612,
title = "XeMRI to CT lung image registration enhanced with personalized 4DCT-derived motion model",
abstract = "This paper presents a novel method for multi-modal lung image registration constrained by a motion model derived from lung 4DCT. The motion model is estimated based on the results of intra-patient image registration using Principal Component Analysis. The approach with a prior motion model is particularly important for regions where there is not enough information to reliably drive the registration process, as in the case of hyperpolarized Xenon MRI and proton density MRI to CT registration. Simultaneously, the method addresses local variations between images in the supervoxel-based motion model parameters optimization step. We compare our results in terms of the plausibility of the estimated deformations and correlation coefficient with 4DCT-based estimated ventilation maps using state-of-the-art multi-modal image registration methods. Our method achieves higher average correlation scores, showing that the application of Principal Component Analysis-based motion model in the deformable registration, helps to drive the registration for the regions of the lungs with insufficient amount of information.",
keywords = "Lung 4D CT, Lung motion model, Multi-modal image registration, Ventilation estimation, XeMRI",
author = "Adam Szmul and Tahreema Matin and Gleeson, \{Fergus V.\} and Schnabel, \{Julia A.\} and Vicente Grau and Papie{\.z}, \{Bart{\l}omiej W.\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 3rd International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2018, 4th International Workshop on Breast Image Analysis, BIA 2018, and 1st International Workshop on Thoracic Image Analysis, TIA 2018, held in conjunction with 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",
year = "2018",
doi = "10.1007/978-3-030-00946-5\_26",
language = "English",
isbn = "9783030009458",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "260--271",
editor = "David Snead and Emanuele Trucco and Danail Stoyanov and Zeike Taylor and Lena Maier-Hein and Nasir Rajpoot and Hrvoje Bogunovic and Francesco Ciompi and Mitko Veta and Garvin, \{Mona K.\} and Chen, \{Xin Jan\} and Anne Martel and \{van der Laak\}, Jeroen and Yanwu Xu and Stephen McKenna",
booktitle = "Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Proceedings",
}