Access the full text.
Sign up today, get DeepDyve free for 14 days.
M. Prümmer, J. Hornegger, G. Lauritsch, L. Wigström, E. Girard-Hughes, R. Fahrig (2009)
Cardiac C-Arm CT: A Unified Framework for Motion Estimation and Dynamic CTIEEE Transactions on Medical Imaging, 28
R. Manzke, P. Koken, D. Hawkes, M. Grass (2005)
Helical cardiac cone beam CT reconstruction with large area detectors: a simulation studyPhysics in Medicine & Biology, 50
P. Cittert (1930)
Zum Einfluß der Spaltbreite auf die Intensitätsverteilung in Spektrallinien. IIZeitschrift für Physik, 69
J. Sunnegårdh (2009)
Iterative Filtered Backprojection Methods for Helical Cone-Beam CT
Sajid Abbas, Taewon Lee, Sukyoung Shin, Rena Lee, Seungryong Cho (2013)
Effects of sparse sampling schemes on image quality in low-dose CT.Medical physics, 40 11
C. Mory, Bo Zhang, Vincent Auvray, M. Grass, D. Schäfer, F. Peyrin, S. Rit, P. Douek, L. Boussel (2012)
ECG-gated C-arm computed tomography using L1 regularization2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
S. Sawall, J. Kuntz, M. Socher, M. Knaup, A. Hess, S. Bartling, M. Kachelriess (2012)
Imaging of cardiac perfusion of free-breathing small animals using dynamic phase-correlated micro-CT.Medical physics, 39 12
C. Badea, S. Johnston, Y. Qi, G. Johnson (2011)
4D micro-CT for cardiac and perfusion applications with view under samplingPhysics in Medicine & Biology, 56
C. Schirra, C. Bontus, U. Stevendaal, O. Dössel, M. Grass (2009)
Improvement of cardiac CT reconstruction using local motion vector fieldsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 33 2
Jiayu Song, Qing Liu, G. Johnson, C. Badea (2007)
Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-CT.Medical physics, 34 11
M. Kachelriess, W. Kalender (1998)
Electrocardiogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart.Medical physics, 25 12
(1988)
Principles of Computerized Tomographic Imaging (IEEE
J. Schwartz, A. Neubauer, T. Fagan, N. Noordhoek, M. Grass, J. Carroll (2011)
Potential role of three-dimensional rotational angiography and C-arm CT for valvular repair and implantationThe International Journal of Cardiovascular Imaging, 27
Guang-Hong Chen, P. Thériault-Lauzier, Jie Tang, Brian Nett, S. Leng, J. Zambelli, Z. Qi, N. Bevins, A. Raval, S. Reeder, H. Rowley (2012)
Time-Resolved Interventional Cardiac C-arm Cone-Beam CT: An Application of the PICCS AlgorithmIEEE Transactions on Medical Imaging, 31
G. Lauritsch, J. Boese, L. Wigström, H. Kemeth, R. Fahrig (2006)
Towards cardiac C-arm computed tomographyIEEE Transactions on Medical Imaging, 25
A. Dhawan, R. Rangayyan, R. Gordon (1985)
Image restoration by Wiener deconvolution in limited-view computed tomography.Applied optics, 24 23
A. Kak, M. Slaney (2001)
Principles of computerized tomographic imaging, 33
M. Kachelriess, Dirk-Alexander Sennst, Wolfgang Maxlmoser, W. Kalender (2002)
Kymogram detection and kymogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart.Medical physics, 29 7
C. Rohkohl, G. Lauritsch, Lisa Biller, M. Prümmer, J. Boese, J. Hornegger (2010)
Interventional 4D motion estimation and reconstruction of cardiac vasculature without motion periodicity assumptionMedical image analysis, 14 5
Xuejun Gu, Dongju Choi, C. Men, Hubert Pan, Amitava Majumdar, Steve Jiang (2009)
GPU-based ultra-fast dose calculation using a finite size pencil beam modelPhysics in Medicine & Biology, 54
B. Medoff, W. Brody, M. Nassi, A. Macovski (1983)
Iterative convolution backprojection algorithms for image reconstruction from limited dataJournal of the Optical Society of America, 73
Stephen Armitage, S. Pollmann, S. Detombe, M. Drangova (2012)
Least-error projection sorting to optimize retrospectively gated cardiac micro-CT of free-breathing mice.Medical physics, 39 3
A. Andersen, A. Kak (1984)
Simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the Art AlgorithmUltrasonic Imaging, 6
R. Gordon, R. Rangayyan (1983)
Geometric Deconvolution: A Meta-Algorithm for Limited View Computed TomographyIEEE Transactions on Biomedical Engineering, BME-30
D. Schäfer, C. Meyer, R. Bullens, A. Saalbach, P. Eshuis (2012)
Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation ProceduresMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 15 Pt 1
Li Zeng, Baodong Liu, Linghui Liu, C. Xiang (2010)
A new iterative reconstruction algorithm for 2D exterior fan-beam CT.Journal of X-ray science and technology, 18 3
P. Cittert
Zum Einfluß der Spaltbreite auf die Intensitätsverteilung in SpektrallinienZeitschrift für Physik, 65
U. Stevendaal, J. Berg, C. Lorenz, M. Grass (2008)
A motion-compensated scheme for helical cone-beam reconstruction in cardiac CT angiography.Medical physics, 35 7
R. Bracewell (2004)
Fourier Analysis and Imaging
G. Gullberg (1979)
The reconstruction of fan-beam data by filtering the back-projectionComputer Graphics and Image Processing, 10
Guang-Hong Chen, Jie Tang, S. Leng (2008)
Prior image constrained compressed sensing (PICCS), 6856
M. Nassi, W. Brody, B. Medoff, A. Macovski (1982)
Iterative Reconstruction-Reprojection: An Algorithm for Limited Data Cardiac-Computed TomographyIEEE Transactions on Biomedical Engineering, BME-29
L. Ritschl, S. Sawall, M. Knaup, A. Hess, M. Kachelriess (2012)
Iterative 4D cardiac micro-CT image reconstruction using an adaptive spatio-temporal sparsity priorPhysics in Medicine and Biology, 57
Graeme Kinnon, R. Bates (1981)
Towards Imaging the Beating Heart Usefully with a Conventional CT ScannerIEEE Transactions on Biomedical Engineering, BME-28
Steven Smith (1997)
The Scientist and Engineer's Guide to Digital Signal Processing
J. Sunnegårdh, P. Danielsson (2008)
Regularized iterative weighted filtered backprojection for helical cone-beam CT.Medical physics, 35 9
(2009)
U
A. Isola, M. Grass, W. Niessen (2010)
Fully automatic nonrigid registration-based local motion estimation for motion-corrected iterative cardiac CT reconstruction.Medical physics, 37 3
H. Tuy (1983)
AN INVERSION FORMULA FOR CONE-BEAM RECONSTRUCTION*Siam Journal on Applied Mathematics, 43
M. Brehm, P. Paysan, M. Oelhafen, P. Kunz, M. Kachelriess (2012)
Self-adapting cyclic registration for motion-compensated cone-beam CT in image-guided radiation therapy.Medical physics, 39 12
D. Lalush, B. Tsui (1994)
Improving the convergence of iterative filtered backprojection algorithms.Medical physics, 21 8
(1984)
Simultaneous algebraic reconstruction technique (SART): A superior implementation of 270 C
L. Feldkamp, L. Davis, J. Kress (1984)
Practical cone-beam algorithmJournal of The Optical Society of America A-optics Image Science and Vision, 1
BACKGROUND: 4D cardiac computed tomography aims at reconstructing the beating heart from a series of 2D projections and the simultaneously acquired electrocardiogram. Each cardiac phase is reconstructed by exploiting the subset of projections acquired during this particular cardiac phase only. In these conditions, the Feldkamp, Davis and Kress method (FDK) generates large streak artifacts in the reconstructed volumes, hampering the medical interpretation. These artifacts can be substantially reduced by deconvolution methods. OBJECTIVE: The aim of this paper is to compare two 4D cardiac CT reconstruction methods based on deconvolution, and to evaluate their practical benefits on two applications: cardiac micro CT and human cardiac C-arm CT. METHODS: The first evaluated method builds upon inverse filtering. It has been proposed recently and demonstrated on 4D cardiac micro CT. The second one is an iterative deconvolution method, and turns out equivalent to an ECG-gated Iterative Filtered Back Projection (ECG-gated IFBP). RESULTS: Results are presented on simulated data in 2D parallel beam, 2D fan beam and 3D cone beam geometries. CONCLUSIONS: Both methods are efficient on the cardiac micro CT simulations, but insufficient to handle 4D human cardiac C-Arm CT simulations. Overall, ECG-gated IFPB largely outperforms the inverse filtering method.
Journal of X-Ray Science and Technology – IOS Press
Published: Jan 1, 2014
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.