Literature DB >> 15248580

Investigation of saddle trajectories for cardiac CT imaging in cone-beam geometry.

Jed D Pack1, Frédéric Noo, H Kudo.   

Abstract

This paper investigates cone-beam tomography for a wide class of x-ray source trajectories called saddles. In particular, a mathematical analysis of the number of intersections between a saddle and an arbitrary plane is given. This analysis demonstrates that axially truncated cone-beam projections acquired along a saddle can be used for exact reconstruction at any point in a large volume. The reconstruction can be achieved either using a new algorithm presented herein or using a formula recently introduced by Katsevich (2003 Int. J. Math. Math. Sci. 21 1305-21). The shape of the reconstructed volume and the properties of saddles make saddles attractive for cardiac imaging. Three examples of saddles are presented with a discussion of implementation on devices similar to modern C-arm systems and multislice CT scanners. Reconstruction with one of these saddles has been tested using computer-simulated data, with and without truncation. The imaged phantom for the truncated data is a FORBILD head phantom (representing the heart) that has been modified and embedded inside the FORBILD thorax phantom. The non-truncated data were generated by excluding the thorax. The reconstructed images demonstrate the accuracy of the mathematical results.

Mesh:

Year:  2004        PMID: 15248580     DOI: 10.1088/0031-9155/49/11/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  14 in total

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Journal:  Med Phys       Date:  2010-10       Impact factor: 4.071

2.  Three dimensional dose distribution comparison of simple and complex acquisition trajectories in dedicated breast CT.

Authors:  Jainil P Shah; Steve D Mann; Randolph L McKinley; Martin P Tornai
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

3.  Completeness map evaluation demonstrated with candidate next-generation cardiac CT architectures.

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4.  Determination of exact reconstruction regions in composite-circling cone-beam tomography.

Authors:  Lena Ye; Hengyong Yu; Ge Wang
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

5.  Image reconstruction in reduced circular sinusoidal cone-beam CT.

Authors:  Dan Xia; Seungryong Cho; Xiaochuan Pan
Journal:  J Xray Sci Technol       Date:  2009       Impact factor: 1.535

6.  The feasibility of an inverse geometry CT system with stationary source arrays.

Authors:  Scott S Hsieh; Joseph A Heanue; Tobias Funk; Waldo S Hinshaw; Brian P Wilfley; Edward G Solomon; Norbert J Pelc
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

7.  Accurate image reconstruction using real C-arm data from a Circle-plus-arc trajectory.

Authors:  Stefan Hoppe; Joachim Hornegger; Frank Dennerlein; Günter Lauritsch; Frédéric Noo
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-05-21       Impact factor: 2.924

8.  Self-calibration of cone-beam CT geometry using 3D-2D image registration.

Authors:  S Ouadah; J W Stayman; G J Gang; T Ehtiati; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2016-03-10       Impact factor: 3.609

9.  Demonstration of dose and scatter reductions for interior computed tomography.

Authors:  Deepak Bharkhada; Hengyong Yu; Robert Dixon; Yuchuan Wei; J Jeffrey Carr; J Daniel Bourland; Ryan Best; Richard Hogan; Ge Wang
Journal:  J Comput Assist Tomogr       Date:  2009 Nov-Dec       Impact factor: 1.826

10.  Knowledge-based dynamic volumetric cardiac computed tomography with saddle curve trajectory.

Authors:  Deepak Bharkhada; Hengyong Yu; Ge Wang
Journal:  J Comput Assist Tomogr       Date:  2008 Nov-Dec       Impact factor: 1.826

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