Paper Info
Title
Dynamic Iterative Reconstruction for Interventional 4-D C-Arm CT Perfusion Imaging.
Abstract
Tissue perfusion measurement using C-arm angiography systems capable of CT-like imaging (C-arm CT) is a novel technique with potentially high benefit for catheter guided treatment of stroke in the interventional suite. However, perfusion C-arm CT (PCCT) is challenging: the slow C-arm rotation speed only allows measuring samples of contrast time attenuation curves (TACs) every 5-6 s if reconstruction algorithms for static data are used. Furthermore, the peak values of the TACs in brain tissue typically lie in a range of 5-30 HU, thus perfusion imaging is very sensitive to noise. We present a dynamic, iterative reconstruction (DIR) approach to reconstruct TACs described by a weighted sum of basis functions. To reduce noise, a regularization technique based on joint bilateral filtering (JBF) is introduced. We evaluated the algorithm with a digital dynamic brain phantom and with data from six canine stroke models. With our dynamic approach, we achieve an average Pearson correlation (PC) of the PCCT canine blood flow maps to co-registered perfusion CT maps of 0.73. This PC is just as high as the PC achieved in a recent PCCT study, which required repeated injections and acquisitions.
Year
DOI
Venue
2013
10.1109/TMI.2013.2257178
IEEE Trans. Med. Imaging
Keywords
Field
DocType
noise,haemodynamics,neuroimaging,stroke,vectors,algorithms,iterative methods,noise reduction,perfusion imaging,computed tomography,image reconstruction
Nuclear medicine,Perfusion scanning,Iterative reconstruction,Blood flow,Iterative method,Imaging phantom,Bilateral filter,Angiography,Mathematics,Perfusion
Journal
Volume
Issue
ISSN
32
7
0278-0062
Citations 
PageRank 
References 
5
0.47
9
Authors
7
Name
Order
Citations
PageRank
Michael Thomas Manhart151.49
Markus Kowarschik222242.67
Andreas Fieselmann3398.13
Yu Deuerling-zheng4142.73
Kevin Royalty550.81
Andreas K. Maier6560178.76
Joachim Hornegger71734190.62