@inproceedings{64897eda8c5a49f9857ad70488e5a6ac,
title = "3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis",
abstract = "A limitation to accurate automatic tracking of knee motion is the noise and blurring present in low dose X-ray fluoroscopy images. For more accurate tracking, this noise should be reduced while preserving anatomical structures such as bone. Noise in low dose X-ray images is generated from different sources, however quantum noise is by far the most dominant. In this paper we present an accurate multi-modal image registration algorithm which successfully registers 3D CT to 2D single plane low dose noisy and blurred fluoroscopy images that are captured for healthy knees. The proposed algorithm uses a new registration framework including a filtering method to reduce the noise and blurring effect in fluoroscopy images. Our experimental results show that the extra pre-filtering step included in the proposed approach maintains higher accuracy and repeatability for in vivo knee joint motion analysis.",
keywords = "3D-2D Registration, blind deconvolution, kinematic analysis, quantum noise, Wiener filter",
author = "Masuma Aktera and Andrew Lambert and Mark Pickering and Jennie SCARVELL and P Smith",
year = "2014",
doi = "10.1109/EMBC.2014.6944777",
language = "English",
isbn = "9781424479290",
series = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "5121--5124",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
address = "United States",
note = "36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2014, EMBC 2014 ; Conference date: 26-08-2014 Through 30-08-2014",
}