Paper Info
Title
Respiratory Motion Compensation Using Diaphragm Tracking for Cone-Beam C-Arm CT: A Simulation and a Phantom Study.
Abstract
Long acquisition times lead to image artifacts in thoracic C-arm CT. Motion blur caused by respiratory motion leads to decreased image quality in many clinical applications. We introduce an image-based method to estimate and compensate respiratory motion in C-arm CT based on diaphragm motion. In order to estimate respiratory motion, we track the contour of the diaphragm in the projection image sequence. Using a motion corrected triangulation approach on the diaphragm vertex, we are able to estimate a motion signal. The estimated motion signal is used to compensate for respiratory motion in the target region, for example, heart or lungs. First, we evaluated our approach in a simulation study using XCAT. As ground truth data was available, a quantitative evaluation was performed. We observed an improvement of about 14% using the structural similarity index. In a real phantom study, using the artiCHEST phantom, we investigated the visibility of bronchial tubes in a porcine lung. Compared to an uncompensated scan, the visibility of bronchial structures is improved drastically. Preliminary results indicate that this kind of motion compensation can deliver a first step in reconstruction image quality improvement. Compared to ground truth data, image quality is still considerably reduced.
Year
DOI
Venue
2013
10.1155/2013/520540
Int. J. Biomedical Imaging
Keywords
Field
DocType
image quality,motion blur,diaphragm tracking,respiratory motion compensation,projection image sequence,estimated motion signal,phantom study,diaphragm vertex,reconstruction image quality improvement,cone-beam c-arm ct,image artifact,diaphragm motion,respiratory motion,motion signal,biomedical research,bioinformatics
Computer vision,Visibility,Diaphragm (structural system),Computer science,Imaging phantom,Motion blur,Image quality,Ground truth,Triangulation (social science),Artificial intelligence,Beam (structure)
Journal
Volume
ISSN
Citations 
2013
1687-4188
4
PageRank 
References 
Authors
0.66
9
6
Name
Order
Citations
PageRank
Marco Bögel162.11
Hannes G. Hofmann2538.20
Joachim Hornegger31734190.62
Rebecca Fahrig410431.90
Stefan Britzen5221.40
Andreas K. Maier6560178.76